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Garcia-Medina JS, Sienkiewicz K, Narayanan SA, Overbey EG, Grigorev K, Ryon KA, Burke M, Proszynski J, Tierney B, Schmidt CM, Mencia-Trinchant N, Klotz R, Ortiz V, Foox J, Chin C, Najjar D, Matei I, Chan I, Cruchaga C, Kleinman A, Kim J, Lucaci A, Loy C, Mzava O, De Vlaminck I, Singaraju A, Taylor LE, Schmidt JC, Schmidt MA, Blease K, Moreno J, Boddicker A, Zhao J, Lajoie B, Altomare A, Kruglyak S, Levy S, Yu M, Hassane DC, Bailey SM, Bolton K, Mateus J, Mason CE. Genome and clonal hematopoiesis stability contrasts with immune, cfDNA, mitochondrial, and telomere length changes during short duration spaceflight. Precis Clin Med 2024; 7:pbae007. [PMID: 38634106 PMCID: PMC11022651 DOI: 10.1093/pcmedi/pbae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 03/24/2024] [Indexed: 04/19/2024] Open
Abstract
Background The Inspiration4 (I4) mission, the first all-civilian orbital flight mission, investigated the physiological effects of short-duration spaceflight through a multi-omic approach. Despite advances, there remains much to learn about human adaptation to spaceflight's unique challenges, including microgravity, immune system perturbations, and radiation exposure. Methods To provide a detailed genetics analysis of the mission, we collected dried blood spots pre-, during, and post-flight for DNA extraction. Telomere length was measured by quantitative PCR, while whole genome and cfDNA sequencing provided insight into genomic stability and immune adaptations. A robust bioinformatic pipeline was used for data analysis, including variant calling to assess mutational burden. Result Telomere elongation occurred during spaceflight and shortened after return to Earth. Cell-free DNA analysis revealed increased immune cell signatures post-flight. No significant clonal hematopoiesis of indeterminate potential (CHIP) or whole-genome instability was observed. The long-term gene expression changes across immune cells suggested cellular adaptations to the space environment persisting months post-flight. Conclusion Our findings provide valuable insights into the physiological consequences of short-duration spaceflight, with telomere dynamics and immune cell gene expression adapting to spaceflight and persisting after return to Earth. CHIP sequencing data will serve as a reference point for studying the early development of CHIP in astronauts, an understudied phenomenon as previous studies have focused on career astronauts. This study will serve as a reference point for future commercial and non-commercial spaceflight, low Earth orbit (LEO) missions, and deep-space exploration.
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Affiliation(s)
- J Sebastian Garcia-Medina
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Karolina Sienkiewicz
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - S Anand Narayanan
- Department of Nutrition and Integrative Physiology, Florida State University, Tallahassee, FL 32306, USA
| | - Eliah G Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
- BioAstra Inc, New York, NY, USA
| | - Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Krista A Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Marissa Burke
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Jacqueline Proszynski
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Braden Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Caleb M Schmidt
- Sovaris Aerospace, Boulder, CO 80302, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, CO 80302, USA
- Department of Systems Engineering, Colorado State University, Fort Collins, CO 80523, USA
| | - Nuria Mencia-Trinchant
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Remi Klotz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Veronica Ortiz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Christopher Chin
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
- BioAstra Inc, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY 10021, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10021, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY 10065, USA
| | - Irenaeus Chan
- Washington University St. Louis Oncology Division, St. Louis, MO 63100, USA
| | - Carlos Cruchaga
- Washington University St. Louis Oncology Division, St. Louis, MO 63100, USA
| | - Ashley Kleinman
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Alexander Lucaci
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Conor Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Omary Mzava
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Anvita Singaraju
- Department of Immunology, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Lynn E Taylor
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Julian C Schmidt
- Sovaris Aerospace, Boulder, CO 80302, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, CO 80302, USA
| | - Michael A Schmidt
- Sovaris Aerospace, Boulder, CO 80302, USA
- Advanced Pattern Analysis & Human Performance Group, Boulder, CO 80302, USA
| | | | - Juan Moreno
- Element Biosciences, San Diego, CA 10055, USA
| | | | - Junhua Zhao
- Element Biosciences, San Diego, CA 10055, USA
| | | | | | | | - Shawn Levy
- Element Biosciences, San Diego, CA 10055, USA
| | - Min Yu
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Duane C Hassane
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Susan M Bailey
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
- Cell and Molecular Biology Program, Colorado State University, Fort Collins, CO 80523, USA
| | - Kelly Bolton
- Washington University St. Louis Oncology Division, St. Louis, MO 63100, USA
| | - Jaime Mateus
- Space Exploration Technologies Corporation, Hawthorne, CA 90250, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
- BioAstra Inc, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY 10021, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
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2
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Long ME, Koirala S, Sloan S, Brown-Burke F, Weigel C, Villagomez L, Corps K, Sharma A, Hout I, Harper M, Helmig-Mason J, Tallada S, Chen Z, Scherle P, Vaddi K, Chen-Kiang S, Di Liberto M, Meydan C, Foox J, Butler D, Mason C, Alinari L, Blaser BW, Baiocchi R. Resistance to PRMT5-targeted therapy in mantle cell lymphoma. Blood Adv 2024; 8:150-163. [PMID: 37782774 PMCID: PMC10787272 DOI: 10.1182/bloodadvances.2023010554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/16/2023] [Accepted: 09/04/2023] [Indexed: 10/04/2023] Open
Abstract
ABSTRACT Mantle cell lymphoma (MCL) is an incurable B-cell non-Hodgkin lymphoma, and patients who relapse on targeted therapies have poor prognosis. Protein arginine methyltransferase 5 (PRMT5), an enzyme essential for B-cell transformation, drives multiple oncogenic pathways and is overexpressed in MCL. Despite the antitumor activity of PRMT5 inhibition (PRT-382/PRT-808), drug resistance was observed in a patient-derived xenograft (PDX) MCL model. Decreased survival of mice engrafted with these PRMT5 inhibitor-resistant cells vs treatment-naive cells was observed (P = .005). MCL cell lines showed variable sensitivity to PRMT5 inhibition. Using PRT-382, cell lines were classified as sensitive (n = 4; 50% inhibitory concentration [IC50], 20-140 nM) or primary resistant (n = 4; 340-1650 nM). Prolonged culture of sensitive MCL lines with drug escalation produced PRMT5 inhibitor-resistant cell lines (n = 4; 200-500 nM). This resistant phenotype persisted after prolonged culture in the absence of drug and was observed with PRT-808. In the resistant PDX and cell line models, symmetric dimethylarginine reduction was achieved at the original PRMT5 inhibitor IC50, suggesting activation of alternative resistance pathways. Bulk RNA sequencing of resistant cell lines and PDX relative to sensitive or short-term-treated cells, respectively, highlighted shared upregulation of multiple pathways including mechanistic target of rapamycin kinase [mTOR] signaling (P < 10-5 and z score > 0.3 or < 0.3). Single-cell RNA sequencing analysis demonstrated a strong shift in global gene expression, with upregulation of mTOR signaling in resistant PDX MCL samples. Targeted blockade of mTORC1 with temsirolimus overcame the PRMT5 inhibitor-resistant phenotype, displayed therapeutic synergy in resistant MCL cell lines, and improved survival of a resistant PDX.
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Affiliation(s)
- Mackenzie Elizabeth Long
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Shirsha Koirala
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Shelby Sloan
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Fiona Brown-Burke
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Christoph Weigel
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Lynda Villagomez
- Division of Hematology and Oncology, Department of Pediatrics, The Ohio State University and Nationwide Children’s Hospital, Columbus, OH
| | - Kara Corps
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Archisha Sharma
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Ian Hout
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Margaret Harper
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - JoBeth Helmig-Mason
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Sheetal Tallada
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Zhengming Chen
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | | | | | - Selina Chen-Kiang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Maurizio Di Liberto
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Cem Meydan
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Jonathan Foox
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Daniel Butler
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Christopher Mason
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Lapo Alinari
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Bradley W. Blaser
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Robert Baiocchi
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
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3
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Merdler-Rabinowicz R, Gorelik D, Park J, Meydan C, Foox J, Karmon M, Roth H, Cohen-Fultheim R, Shohat-ophir G, Eisenberg E, Ruppin E, Mason C, Levanon E. Elevated A-to-I RNA editing in COVID-19 infected individuals. NAR Genom Bioinform 2023; 5:lqad092. [PMID: 37859800 PMCID: PMC10583280 DOI: 10.1093/nargab/lqad092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 08/29/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023] Open
Abstract
Given the current status of coronavirus disease 2019 (COVID-19) as a global pandemic, it is of high priority to gain a deeper understanding of the disease's development and how the virus impacts its host. Adenosine (A)-to-Inosine (I) RNA editing is a post-transcriptional modification, catalyzed by the ADAR family of enzymes, that can be considered part of the inherent cellular defense mechanism as it affects the innate immune response in a complex manner. It was previously reported that various viruses could interact with the host's ADAR enzymes, resulting in epigenetic changes both to the virus and the host. Here, we analyze RNA-seq of nasopharyngeal swab specimens as well as whole-blood samples of COVID-19 infected individuals and show a significant elevation in the global RNA editing activity in COVID-19 compared to healthy controls. We also detect specific coding sites that exhibit higher editing activity. We further show that the increment in editing activity during the disease is temporary and returns to baseline shortly after the symptomatic period. These significant epigenetic changes may contribute to the immune system response and affect adverse outcomes seen in post-viral cases.
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Affiliation(s)
- Rona Merdler-Rabinowicz
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- Cancer Data Science Lab, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
| | - David Gorelik
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
| | - Jiwoon Park
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
| | - Cem Meydan
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Miriam Karmon
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
| | - Hillel S Roth
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
| | - Roni Cohen-Fultheim
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
| | - Galit Shohat-ophir
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- Leslie and Susan Gonda Multidisciplinary Brain Research Center and The Nanotechnology Institute, Bar-Ilan University, Ramat Gan, Israel
| | - Eli Eisenberg
- Raymond and Beverly Sackler School of Physics and Astronomy, Tel-Aviv University, Tel Aviv, Israel
| | - Eytan Ruppin
- Cancer Data Science Lab, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christopher E Mason
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Erez Y Levanon
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Institute of Nanotechnology and Advanced Materials, Bar‐Ilan University, Ramat Gan, Israel
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4
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Tierney BT, Kim J, Overbey EG, Ryon KA, Foox J, Sierra M, Bhattacharya C, Damle N, Najjar D, Park J, Garcia Medina S, Houerbi N, Meydan C, Wain Hershberg J, Qiu J, Kleinman A, Al Ghalith G, MacKay M, Afshin EE, Dhir R, Borg J, Gatt C, Brereton N, Readhead B, Beyaz S, Venkateswaran KJ, Blease K, Moreno J, Boddicker A, Zhao J, Lajoie B, Scott RT, Altomare A, Kruglyak S, Levy S, Church G, Mason CE. Viral activation and ecological restructuring characterize a microbiome axis of spaceflight-associated immune activation. Res Sq 2023:rs.3.rs-2493867. [PMID: 37886447 PMCID: PMC10602132 DOI: 10.21203/rs.3.rs-2493867/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Maintenance of astronaut health during spaceflight will require monitoring and potentially modulating their microbiomes, which play a role in some space-derived health disorders. However, documenting the response of microbiota to spaceflight has been difficult thus far due to mission constraints that lead to limited sampling. Here, we executed a six-month longitudinal study centered on a three-day flight to quantify the high-resolution microbiome response to spaceflight. Via paired metagenomics and metatranscriptomics alongside single immune profiling, we resolved a microbiome "architecture" of spaceflight characterized by time-dependent and taxonomically divergent microbiome alterations across 750 samples and ten body sites. We observed pan-phyletic viral activation and signs of persistent changes that, in the oral microbiome, yielded plaque-associated pathobionts with strong associations to immune cell gene expression. Further, we found enrichments of microbial genes associated with antibiotic production, toxin-antitoxin systems, and stress response enriched universally across the body sites. We also used strain-level tracking to measure the potential propagation of microbial species from the crew members to each other and the environment, identifying microbes that were prone to seed the capsule surface and move between the crew. Finally, we identified associations between microbiome and host immune cell shifts, proposing both a microbiome axis of immune changes during flight as well as the sources of some of those changes. In summary, these datasets and methods reveal connections between crew immunology, the microbiome, and their likely drivers and lay the groundwork for future microbiome studies of spaceflight.
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Affiliation(s)
- Braden T. Tierney
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Eliah G. Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Krista A. Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Namita Damle
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jiwoon Park
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | | | - Nadia Houerbi
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jeremy Wain Hershberg
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jake Qiu
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ashley Kleinman
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Matthew MacKay
- Tri-Institutional Biology and Medicine program, Weill Cornell Medicine, New York, NY, USA
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Raja Dhir
- Seed Health, Inc, Venice, CA, USA
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
| | - Joseph Borg
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Christine Gatt
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, MSD2090, Malta
| | - Nicholas Brereton
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Ben Readhead
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA
| | - Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | | | | | | | - Ryan T. Scott
- KBR; Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | | | | | | | - George Church
- Harvard Medical School and the Wyss Institute, Boston, MA, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
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5
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Sloan SL, Brown F, Long M, Weigel C, Koirala S, Chung JH, Pray B, Villagomez L, Hinterschied C, Sircar A, Helmig-Mason J, Prouty A, Brooks E, Youssef Y, Hanel W, Parekh S, Chan WK, Chen Z, Lapalombella R, Sehgal L, Vaddi K, Scherle P, Chen-Kiang S, Di Liberto M, Elemento O, Meydan C, Foox J, Butler D, Mason CE, Baiocchi RA, Alinari L. PRMT5 supports multiple oncogenic pathways in mantle cell lymphoma. Blood 2023; 142:887-902. [PMID: 37267517 PMCID: PMC10517215 DOI: 10.1182/blood.2022019419] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 04/10/2023] [Accepted: 05/11/2023] [Indexed: 06/04/2023] Open
Abstract
Mantle cell lymphoma (MCL) is an incurable B-cell malignancy with an overall poor prognosis, particularly for patients that progress on targeted therapies. Novel, more durable treatment options are needed for patients with MCL. Protein arginine methyltransferase 5 (PRMT5) is overexpressed in MCL and plays an important oncogenic role in this disease via epigenetic and posttranslational modification of cell cycle regulators, DNA repair genes, components of prosurvival pathways, and RNA splicing regulators. The mechanism of targeting PRMT5 in MCL remains incompletely characterized. Here, we report on the antitumor activity of PRMT5 inhibition in MCL using integrated transcriptomics of in vitro and in vivo models of MCL. Treatment with a selective small-molecule inhibitor of PRMT5, PRT-382, led to growth arrest and cell death and provided a therapeutic benefit in xenografts derived from patients with MCL. Transcriptional reprograming upon PRMT5 inhibition led to restored regulatory activity of the cell cycle (p-RB/E2F), apoptotic cell death (p53-dependent/p53-independent), and activation of negative regulators of B-cell receptor-PI3K/AKT signaling (PHLDA3, PTPROt, and PIK3IP1). We propose pharmacologic inhibition of PRMT5 for patients with relapsed/refractory MCL and identify MTAP/CDKN2A deletion and wild-type TP53 as biomarkers that predict a favorable response. Selective targeting of PRMT5 has significant activity in preclinical models of MCL and warrants further investigation in clinical trials.
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Affiliation(s)
- Shelby L. Sloan
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Fiona Brown
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Mackenzie Long
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Christoph Weigel
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Shirsha Koirala
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Ji-Hyun Chung
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Betsy Pray
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH
| | - Lynda Villagomez
- Division of Hematology and Oncology, Department of Pediatrics, The Ohio State University and Nationwide Children’s Hospital, Columbus, OH
| | - Claire Hinterschied
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Anuvrat Sircar
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - JoBeth Helmig-Mason
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Alexander Prouty
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Eric Brooks
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Youssef Youssef
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Walter Hanel
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Samir Parekh
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Wing Keung Chan
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Zhengming Chen
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - Rosa Lapalombella
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Lalit Sehgal
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | | | | | - Selina Chen-Kiang
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Maurizio Di Liberto
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Olivier Elemento
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Cem Meydan
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Jonathan Foox
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Daniel Butler
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
| | - Robert A. Baiocchi
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
| | - Lapo Alinari
- Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH
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6
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Guarnieri JW, Dybas JM, Fazelinia H, Kim MS, Frere J, Zhang Y, Soto Albrecht Y, Murdock DG, Angelin A, Singh LN, Weiss SL, Best SM, Lott MT, Zhang S, Cope H, Zaksas V, Saravia-Butler A, Meydan C, Foox J, Mozsary C, Bram Y, Kidane Y, Priebe W, Emmett MR, Meller R, Demharter S, Stentoft-Hansen V, Salvatore M, Galeano D, Enguita FJ, Grabham P, Trovao NS, Singh U, Haltom J, Heise MT, Moorman NJ, Baxter VK, Madden EA, Taft-Benz SA, Anderson EJ, Sanders WA, Dickmander RJ, Baylin SB, Wurtele ES, Moraes-Vieira PM, Taylor D, Mason CE, Schisler JC, Schwartz RE, Beheshti A, Wallace DC. Core mitochondrial genes are down-regulated during SARS-CoV-2 infection of rodent and human hosts. Sci Transl Med 2023; 15:eabq1533. [PMID: 37556555 DOI: 10.1126/scitranslmed.abq1533] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/20/2023] [Indexed: 08/11/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral proteins bind to host mitochondrial proteins, likely inhibiting oxidative phosphorylation (OXPHOS) and stimulating glycolysis. We analyzed mitochondrial gene expression in nasopharyngeal and autopsy tissues from patients with coronavirus disease 2019 (COVID-19). In nasopharyngeal samples with declining viral titers, the virus blocked the transcription of a subset of nuclear DNA (nDNA)-encoded mitochondrial OXPHOS genes, induced the expression of microRNA 2392, activated HIF-1α to induce glycolysis, and activated host immune defenses including the integrated stress response. In autopsy tissues from patients with COVID-19, SARS-CoV-2 was no longer present, and mitochondrial gene transcription had recovered in the lungs. However, nDNA mitochondrial gene expression remained suppressed in autopsy tissue from the heart and, to a lesser extent, kidney, and liver, whereas mitochondrial DNA transcription was induced and host-immune defense pathways were activated. During early SARS-CoV-2 infection of hamsters with peak lung viral load, mitochondrial gene expression in the lung was minimally perturbed but was down-regulated in the cerebellum and up-regulated in the striatum even though no SARS-CoV-2 was detected in the brain. During the mid-phase SARS-CoV-2 infection of mice, mitochondrial gene expression was starting to recover in mouse lungs. These data suggest that when the viral titer first peaks, there is a systemic host response followed by viral suppression of mitochondrial gene transcription and induction of glycolysis leading to the deployment of antiviral immune defenses. Even when the virus was cleared and lung mitochondrial function had recovered, mitochondrial function in the heart, kidney, liver, and lymph nodes remained impaired, potentially leading to severe COVID-19 pathology.
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Affiliation(s)
- Joseph W Guarnieri
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Joseph M Dybas
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Hossein Fazelinia
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Man S Kim
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South Korea
| | - Justin Frere
- Icahn School of Medicine at Mount Sinai, New York, NY 10023, USA
| | - Yuanchao Zhang
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Yentli Soto Albrecht
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Deborah G Murdock
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Alessia Angelin
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Larry N Singh
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Scott L Weiss
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sonja M Best
- COVID-19 International Research Team, Medford, MA 02155, USA
- Rocky Mountain Laboratory, National Institute of Allergy and Infectious Disease, NIH, Hamilton, MT 59840, USA
| | - Marie T Lott
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Shiping Zhang
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Henry Cope
- University of Nottingham, Nottingham, UK
| | - Victoria Zaksas
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Chicago, Chicago, IL 60615, USA
- Clever Research Lab, Springfield, IL 62704, USA
| | - Amanda Saravia-Butler
- COVID-19 International Research Team, Medford, MA 02155, USA
- Logyx, LLC, Mountain View, CA 94043, USA
- NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Cem Meydan
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
| | | | | | - Yaron Bram
- Weill Cornell Medicine, New York, NY 10065, USA
| | - Yared Kidane
- COVID-19 International Research Team, Medford, MA 02155, USA
- Texas Scottish Rite Hospital for Children, Dallas, TX 75219, USA
| | - Waldemar Priebe
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mark R Emmett
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Robert Meller
- COVID-19 International Research Team, Medford, MA 02155, USA
- Morehouse School of Medicine, Atlanta, GA 30310, USA
| | | | | | | | - Diego Galeano
- COVID-19 International Research Team, Medford, MA 02155, USA
- Facultad de Ingeniería, Universidad Nacional de Asunción, San Lorenzo, Central, Paraguay
| | - Francisco J Enguita
- COVID-19 International Research Team, Medford, MA 02155, USA
- Faculdade de Medicina, Universidade de Lisboa, Instituto de Medicina Molecular João Lobo Antunes, 1649-028 Lisboa, Portugal
| | - Peter Grabham
- College of Physicians and Surgeons, Columbia University, New York, NY 19103, USA
| | - Nidia S Trovao
- COVID-19 International Research Team, Medford, MA 02155, USA
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Urminder Singh
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Jeffrey Haltom
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Mark T Heise
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Victoria K Baxter
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Emily A Madden
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | | | - Wes A Sanders
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Stephen B Baylin
- COVID-19 International Research Team, Medford, MA 02155, USA
- Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Eve Syrkin Wurtele
- COVID-19 International Research Team, Medford, MA 02155, USA
- Iowa State University, Ames, IA 50011, USA
| | - Pedro M Moraes-Vieira
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of Campinas, Campinas, SP, Brazil
| | - Deanne Taylor
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
| | - Christopher E Mason
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
- New York Genome Center, New York, NY 10013, USA
| | - Jonathan C Schisler
- COVID-19 International Research Team, Medford, MA 02155, USA
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Robert E Schwartz
- COVID-19 International Research Team, Medford, MA 02155, USA
- Weill Cornell Medicine, New York, NY 10065, USA
| | - Afshin Beheshti
- COVID-19 International Research Team, Medford, MA 02155, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- COVID-19 International Research Team, Medford, MA 02155, USA
- Division of Human Genetics, Department of Pediatrics, University of Pennsylvania, Philadelphia, PA 19104, USA
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7
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Tierney BT, Foox J, Ryon KA, Butler D, Damle N, Young BG, Mozsary C, Babler KM, Yin X, Carattini Y, Andrews D, Solle NS, Kumar N, Shukla B, Vidovic D, Currall B, Williams SL, Schürer SC, Stevenson M, Amirali A, Beaver CC, Kobetz E, Boone MM, Reding B, Laine J, Comerford S, Lamar WE, Tallon JJ, Hirschberg JW, Proszynski J, Sharkey ME, Church GM, Grills GS, Solo-Gabriele HM, Mason CE. Geospatially-resolved public-health surveillance via wastewater sequencing. medRxiv 2023:2023.05.31.23290781. [PMID: 37398062 PMCID: PMC10312847 DOI: 10.1101/2023.05.31.23290781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Wastewater, which contains everything from pathogens to pollutants, is a geospatially-and temporally-linked microbial fingerprint of a given population. As a result, it can be leveraged for monitoring multiple dimensions of public health across locales and time. Here, we integrate targeted and bulk RNA sequencing (n=1,419 samples) to track the viral, bacterial, and functional content over geospatially distinct areas within Miami Dade County from 2020-2022. First, we used targeted amplicon sequencing (n=966) to track diverse SARS-CoV-2 variants across space and time, and we found a tight correspondence with clinical caseloads from University students (N = 1,503) and Miami-Dade County hospital patients (N = 3,939 patients), as well as an 8-day earlier detection of the Delta variant in wastewater vs. in patients. Additionally, in 453 metatranscriptomic samples, we demonstrate that different wastewater sampling locations have clinically and public-health-relevant microbiota that vary as a function of the size of the human population they represent. Through assembly, alignment-based, and phylogenetic approaches, we also detect multiple clinically important viruses (e.g., norovirus ) and describe geospatial and temporal variation in microbial functional genes that indicate the presence of pollutants. Moreover, we found distinct profiles of antimicrobial resistance (AMR) genes and virulence factors across campus buildings, dorms, and hospitals, with hospital wastewater containing a significant increase in AMR abundance. Overall, this effort lays the groundwork for systematic characterization of wastewater to improve public health decision making and a broad platform to detect emerging pathogens.
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8
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Leca J, Lemonnier F, Meydan C, Foox J, El Ghamrasni S, Mboumba DL, Duncan GS, Fortin J, Sakamoto T, Tobin C, Hodgson K, Haight J, Smith LK, Elia AJ, Butler D, Berger T, de Leval L, Mason CE, Melnick A, Gaulard P, Mak TW. IDH2 and TET2 mutations synergize to modulate T Follicular Helper cell functional interaction with the AITL microenvironment. Cancer Cell 2023; 41:323-339.e10. [PMID: 36736318 DOI: 10.1016/j.ccell.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/11/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023]
Abstract
Angioimmunoblastic T cell lymphoma (AITL) is a peripheral T cell lymphoma that originates from T follicular helper (Tfh) cells and exhibits a prominent tumor microenvironment (TME). IDH2 and TET2 mutations co-occur frequently in AITL, but their contribution to tumorigenesis is poorly understood. We developed an AITL mouse model that is driven by Idh2 and Tet2 mutations. Malignant Tfh cells display aberrant transcriptomic and epigenetic programs that impair TCR signaling. Neoplastic Tfh cells bearing combined Idh2 and Tet2 mutations show altered cross-talk with germinal center B cells that promotes B cell clonal expansion while decreasing Fas-FasL interaction and reducing B cell apoptosis. The plasma cell count and angiogenesis are also increased in the Idh2-mutated tumors, implying a major relationship between Idh2 mutation and the characteristic AITL TME. Our mouse model recapitulates several features of human IDH2-mutated AITL and provides a rationale for exploring therapeutic targeting of Tfh-TME cross-talk for AITL patients.
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Affiliation(s)
- Julie Leca
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada.
| | - Franҫois Lemonnier
- University Paris-Est Créteil, INSERM U955, Institut Mondor de Recherche Biomédicale, 94010 Créteil, France; AP-HP, Lymphoid Malignancies Unit, Henri Mondor Hospital, 94010 Créteil, France
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Samah El Ghamrasni
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Diana-Laure Mboumba
- University Paris-Est Créteil, INSERM U955, Institut Mondor de Recherche Biomédicale, 94010 Créteil, France
| | - Gordon S Duncan
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Jerome Fortin
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Takashi Sakamoto
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada; Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan
| | - Chantal Tobin
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Kelsey Hodgson
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Jillian Haight
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Logan K Smith
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Andrew J Elia
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA
| | - Thorsten Berger
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada
| | - Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital, Lausanne 1011, Switzerland; Lausanne University, Lausanne 1011, Switzerland
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Ari Melnick
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Philippe Gaulard
- University Paris-Est Créteil, INSERM U955, Institut Mondor de Recherche Biomédicale, 94010 Créteil, France; AP-HP, Pathology Department, Henri Mondor Hosital, 94010 Créteil, France
| | - Tak W Mak
- University Health Network, Princess Margaret Cancer Centre, Toronto, ON M5G 1L7, Canada; Departments of Medical Biophysics and Immunology, University of Toronto, Toronto, ON M5G 1L7, Canada; Department of Pathology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Oncology and Immunology, Hong Kong Science Park, Hong Kong SAR, China.
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9
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Fortin J, Chiang MF, Meydan C, Foox J, Ramachandran P, Leca J, Lemonnier F, Li WY, Gams MS, Sakamoto T, Chu M, Tobin C, Laugesen E, Robinson TM, You-Ten A, Butler DJ, Berger T, Minden MD, Levine RL, Guidos CJ, Melnick AM, Mason CE, Mak TW. Distinct and opposite effects of leukemogenic Idh and Tet2 mutations in hematopoietic stem and progenitor cells. Proc Natl Acad Sci U S A 2023; 120:e2208176120. [PMID: 36652477 PMCID: PMC9942850 DOI: 10.1073/pnas.2208176120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Mutations in IDH1, IDH2, and TET2 are recurrently observed in myeloid neoplasms. IDH1 and IDH2 encode isocitrate dehydrogenase isoforms, which normally catalyze the conversion of isocitrate to α-ketoglutarate (α-KG). Oncogenic IDH1/2 mutations confer neomorphic activity, leading to the production of D-2-hydroxyglutarate (D-2-HG), a potent inhibitor of α-KG-dependent enzymes which include the TET methylcytosine dioxygenases. Given their mutual exclusivity in myeloid neoplasms, IDH1, IDH2, and TET2 mutations may converge on a common oncogenic mechanism. Contrary to this expectation, we observed that they have distinct, and even opposite, effects on hematopoietic stem and progenitor cells in genetically engineered mice. Epigenetic and single-cell transcriptomic analyses revealed that Idh2R172K and Tet2 loss-of-function have divergent consequences on the expression and activity of key hematopoietic and leukemogenic regulators. Notably, chromatin accessibility and transcriptional deregulation in Idh2R172K cells were partially disconnected from DNA methylation alterations. These results highlight unanticipated divergent effects of IDH1/2 and TET2 mutations, providing support for the optimization of genotype-specific therapies.
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Affiliation(s)
- Jerome Fortin
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
- 2To whom correspondence may be addressed. , , or
| | - Ming-Feng Chiang
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Cem Meydan
- bDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065
- cThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY10065
- dWorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY10065
| | - Jonathan Foox
- bDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065
- cThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY10065
| | | | - Julie Leca
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - François Lemonnier
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
- eInstitut Mondor de Recherche Biomédicale, INSERMU955, Université Paris Est Créteil, Créteil94010, France
| | - Wanda Y. Li
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
- fCentre for Oncology and Immunology, Hong Kong Science Park, Hong Kong SAR, China
| | - Miki S. Gams
- gDepartment of Immunology, The Hospital for Sick Children Research Institute, University of Toronto, Toronto, ONM5G 0A4, Canada
| | - Takashi Sakamoto
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
- hDepartment of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto606-8501, Japan
| | - Mandy Chu
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Chantal Tobin
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Eric Laugesen
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Troy M. Robinson
- iHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
- jLouis V. Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Annick You-Ten
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Daniel J. Butler
- bDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065
| | - Thorsten Berger
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Mark D. Minden
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
| | - Ross L. Levine
- iHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
- kCenter for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY10065
- lCenter for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Cynthia J. Guidos
- gDepartment of Immunology, The Hospital for Sick Children Research Institute, University of Toronto, Toronto, ONM5G 0A4, Canada
| | - Ari M. Melnick
- mDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY10021
| | - Christopher E. Mason
- bDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY10065
- cThe HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY10065
- dWorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY10065
| | - Tak W. Mak
- aPrincess Margaret Cancer Centre, University Health Network, Toronto, ONM5G 2C1, Canada
- fCentre for Oncology and Immunology, Hong Kong Science Park, Hong Kong SAR, China
- nDepartment of Pathology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- 2To whom correspondence may be addressed. , , or
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10
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Sierra MA, Ryon KA, Tierney BT, Foox J, Bhattacharya C, Afshin E, Butler D, Green SJ, Thomas WK, Ramsdell J, Bivens NJ, McGrath K, Mason CE, Tighe SW. Microbiome and metagenomic analysis of Lake Hillier Australia reveals pigment-rich polyextremophiles and wide-ranging metabolic adaptations. Environ Microbiome 2022; 17:60. [PMID: 36544228 PMCID: PMC9768965 DOI: 10.1186/s40793-022-00455-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Lake Hillier is a hypersaline lake known for its distinctive bright pink color. The cause of this phenomenon in other hypersaline sites has been attributed to halophiles, Dunaliella, and Salinibacter, however, a systematic analysis of the microbial communities, their functional features, and the prevalence of pigment-producing-metabolisms has not been previously studied. Through metagenomic sequencing and culture-based approaches, our results evidence that Lake Hillier is composed of a diverse set of microorganisms including archaea, bacteria, algae, and viruses. Our data indicate that the microbiome in Lake Hillier is composed of multiple pigment-producer microbes, including Dunaliella, Salinibacter, Halobacillus, Psychroflexus, Halorubrum, many of which are cataloged as polyextremophiles. Additionally, we estimated the diversity of metabolic pathways in the lake and determined that many of these are related to pigment production. We reconstructed complete or partial genomes for 21 discrete bacteria (N = 14) and archaea (N = 7), only 2 of which could be taxonomically annotated to previously observed species. Our findings provide the first metagenomic study to decipher the source of the pink color of Australia's Lake Hillier. The study of this pink hypersaline environment is evidence of a microbial consortium of pigment producers, a repertoire of polyextremophiles, a core microbiome and potentially novel species.
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Affiliation(s)
- Maria A Sierra
- Tri-Institutional Computational Biology and Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Krista A Ryon
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Braden T Tierney
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Chandrima Bhattacharya
- Tri-Institutional Computational Biology and Medicine Program, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Evan Afshin
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Stefan J Green
- Genomics and Microbiome Core Facility, Rush University, New York, IL, USA
| | - W Kelley Thomas
- Department of Molecular, Cellular, and Biomedical Sciences, College of Life Sciences and Agriculture, University of New Hampshire, Durham, NH, USA
| | | | - Nathan J Bivens
- DNA Core Facility, University of Missouri, Columbia, MO, USA
| | | | - Christopher E Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, 10065, USA.
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10065, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
| | - Scott W Tighe
- Advanced Genomics Laboratory, University of Vermont Cancer Center, University of Vermont, Burlington, VT, USA.
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11
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Zhan Q, Babler KM, Sharkey ME, Amirali A, Beaver CC, Boone MM, Comerford S, Cooper D, Cortizas EM, Currall BB, Foox J, Grills GS, Kobetz E, Kumar N, Laine J, Lamar WE, Mantero AM, Mason CE, Reding BD, Robertson M, Roca MA, Ryon K, Schürer SC, Shukla BS, Solle NS, Stevenson M, Tallon Jr JJ, Thomas C, Thomas T, Vidović D, Williams SL, Yin X, Solo-Gabriele HM. Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste. ACS ES T Water 2022; 2:1992-2003. [PMID: 36398131 PMCID: PMC9664448 DOI: 10.1021/acsestwater.2c00045] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant. Wastewater data were combined with complementary COVID-19 case tracking to evaluate the efficiency of wastewater surveillance for forecasting new COVID-19 cases and, for the larger scale, hospitalizations. Results show that the normalization of SARS-CoV-2 levels by PMMoV and B2M resulted in improved correlations with COVID-19 cases for campus data using volcano second generation (V2G)-qPCR chemistry (r s = 0.69 without normalization, r s = 0.73 with normalization). Mixed results were obtained for normalization by PMMoV for samples collected at the community scale. Overall benefits from normalizing with measures of human waste depend upon qPCR chemistry and improves with smaller sewershed scale. We recommend further studies that evaluate the efficacy of additional normalization targets.
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Affiliation(s)
- Qingyu Zhan
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Kristina M. Babler
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Mark E. Sharkey
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Ayaaz Amirali
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Cynthia C. Beaver
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Melinda M. Boone
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Samuel Comerford
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Daniel Cooper
- DataGrade
Solutions, LLC, Miami, Florida 33173, United
States
| | - Elena M. Cortizas
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Benjamin B. Currall
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Jonathan Foox
- Department
of Physiology and Biophysics, Weill Cornell
Medical College, New York
City, New York 10021, United States
| | - George S. Grills
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Erin Kobetz
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Naresh Kumar
- Department
of Public Health Sciences, University of
Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Jennifer Laine
- Environmental
Health and Safety, University of Miami, Miami, Florida 33146, United States
| | - Walter E. Lamar
- Facilities
Safety & Compliance, University of Miami
Miller School of Medicine, Miami, Florida 33136, United States
| | - Alejandro M.A. Mantero
- Department
of Public Health Sciences, University of
Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Christopher E. Mason
- Department
of Physiology and Biophysics and the WorldQuant Initiative for Quantitative
Prediction, Weill Cornell Medical College, New York City, New York 10021, United States
| | - Brian D. Reding
- Environmental
Health and Safety, University of Miami, Miami, Florida 33146, United States
| | - Maria Robertson
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Matthew A. Roca
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Krista Ryon
- Department
of Physiology and Biophysics, Weill Cornell
Medical College, New York
City, New York 10021, United States
| | - Stephan C. Schürer
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
- Department
of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, Florida 33136, United States
- Institute
for Data Science & Computing, University
of Miami, Coral Gables, Florida 33146, United
States
| | - Bhavarth S. Shukla
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Natasha Schaefer Solle
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Mario Stevenson
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - John J. Tallon Jr
- Facilities
and Operations, University of Miami, Coral Gables, Florida 33146, United States
| | - Collette Thomas
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Tori Thomas
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Dušica Vidović
- Department
of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, Florida 33136, United States
| | - Sion L. Williams
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Xue Yin
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Helena M. Solo-Gabriele
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
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12
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Guarnieri JW, Dybas JM, Fazelinia H, Kim MS, Frere J, Zhang Y, Albrecht YS, Murdock DG, Angelin A, Singh LN, Weiss SL, Best SM, Lott MT, Cope H, Zaksas V, Saravia-Butler A, Meydan C, Foox J, Mozsary C, Kidane YH, Priebe W, Emmett MR, Meller R, Singh U, Bram Y, tenOever BR, Heise MT, Moorman NJ, Madden EA, Taft-Benz SA, Anderson EJ, Sanders WA, Dickmander RJ, Baxter VK, Baylin SB, Wurtele ES, Moraes-Vieira PM, Taylor D, Mason CE, Schisler JC, Schwartz RE, Beheshti A, Wallace DC. TARGETED DOWN REGULATION OF CORE MITOCHONDRIAL GENES DURING SARS-COV-2 INFECTION. bioRxiv 2022:2022.02.19.481089. [PMID: 35233572 PMCID: PMC8887073 DOI: 10.1101/2022.02.19.481089] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Defects in mitochondrial oxidative phosphorylation (OXPHOS) have been reported in COVID-19 patients, but the timing and organs affected vary among reports. Here, we reveal the dynamics of COVID-19 through transcription profiles in nasopharyngeal and autopsy samples from patients and infected rodent models. While mitochondrial bioenergetics is repressed in the viral nasopharyngeal portal of entry, it is up regulated in autopsy lung tissues from deceased patients. In most disease stages and organs, discrete OXPHOS functions are blocked by the virus, and this is countered by the host broadly up regulating unblocked OXPHOS functions. No such rebound is seen in autopsy heart, results in severe repression of genes across all OXPHOS modules. Hence, targeted enhancement of mitochondrial gene expression may mitigate the pathogenesis of COVID-19.
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Affiliation(s)
- Joseph W. Guarnieri
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Joseph M. Dybas
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Hossein Fazelinia
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Man S. Kim
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
- Kyung Hee University Hospital at Gangdong, Kyung Hee University, Seoul, South Korea
| | | | - Yuanchao Zhang
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Yentli Soto Albrecht
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | | | - Alessia Angelin
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Larry N. Singh
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Scott L. Weiss
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Sonja M. Best
- COVID-19 International Research Team
- Rocky Mountain Laboratories NIAID, Hamilton, MT 59840
| | - Marie T. Lott
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
| | - Henry Cope
- University of Nottingham, Nottingham, UK
| | - Viktorija Zaksas
- COVID-19 International Research Team
- University of Chicago, Chicago, IL, 60615, USA
| | - Amanda Saravia-Butler
- COVID-19 International Research Team
- Logyx, LLC, Mountain View, CA 94043, USA
- NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Cem Meydan
- COVID-19 International Research Team
- Weill Cornell Medicine, NY, 10065, USA
| | | | | | - Yared H. Kidane
- COVID-19 International Research Team
- Scottish Rite for Children, Dallas, TX 75219, USA
| | - Waldemar Priebe
- COVID-19 International Research Team
- University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Mark R. Emmett
- COVID-19 International Research Team
- University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Robert Meller
- COVID-19 International Research Team
- Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Urminder Singh
- COVID-19 International Research Team
- Iowa State University, Ames, IA 50011, USA
| | | | | | - Mark T. Heise
- University of North Carolina, Chapel Hill, Chapel Hill, NC, 27599, USA
| | | | - Emily A. Madden
- University of North Carolina, Chapel Hill, Chapel Hill, NC, 27599, USA
| | | | | | - Wes A. Sanders
- University of North Carolina, Chapel Hill, Chapel Hill, NC, 27599, USA
| | | | | | - Stephen B. Baylin
- COVID-19 International Research Team
- Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Eve Syrkin Wurtele
- COVID-19 International Research Team
- Iowa State University, Ames, IA 50011, USA
| | | | - Deanne Taylor
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
| | - Christopher E. Mason
- COVID-19 International Research Team
- Weill Cornell Medicine, NY, 10065, USA
- New York Genome Center, NY, USA
| | - Jonathan C. Schisler
- COVID-19 International Research Team
- University of North Carolina, Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Robert E. Schwartz
- COVID-19 International Research Team
- Weill Cornell Medicine, NY, 10065, USA
| | - Afshin Beheshti
- COVID-19 International Research Team
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
- KBR, NASA Ames Research Center, Moffett Field, CA, 94035, USA
| | - Douglas C. Wallace
- The Children’s Hospital of Philadelphia, Philadelphia, PA 19104 USA
- COVID-19 International Research Team
- University of Pennsylvania, Philadelphia, PA 19104 USA
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13
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Park J, Foox J, Hether T, Danko DC, Warren S, Kim Y, Reeves J, Butler DJ, Mozsary C, Rosiene J, Shaiber A, Afshin EE, MacKay M, Rendeiro AF, Bram Y, Chandar V, Geiger H, Craney A, Velu P, Melnick AM, Hajirasouliha I, Beheshti A, Taylor D, Saravia-Butler A, Singh U, Wurtele ES, Schisler J, Fennessey S, Corvelo A, Zody MC, Germer S, Salvatore S, Levy S, Wu S, Tatonetti NP, Shapira S, Salvatore M, Westblade LF, Cushing M, Rennert H, Kriegel AJ, Elemento O, Imielinski M, Rice CM, Borczuk AC, Meydan C, Schwartz RE, Mason CE. System-wide transcriptome damage and tissue identity loss in COVID-19 patients. Cell Rep Med 2022; 3:100522. [PMID: 35233546 PMCID: PMC8784611 DOI: 10.1016/j.xcrm.2022.100522] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/22/2021] [Accepted: 01/16/2022] [Indexed: 01/07/2023]
Abstract
The molecular mechanisms underlying the clinical manifestations of coronavirus disease 2019 (COVID-19), and what distinguishes them from common seasonal influenza virus and other lung injury states such as acute respiratory distress syndrome, remain poorly understood. To address these challenges, we combine transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues to define body-wide transcriptome changes in response to COVID-19. We then match these data with spatial protein and expression profiling across 357 tissue sections from 16 representative patient lung samples and identify tissue-compartment-specific damage wrought by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, evident as a function of varying viral loads during the clinical course of infection and tissue-type-specific expression states. Overall, our findings reveal a systemic disruption of canonical cellular and transcriptional pathways across all tissues, which can inform subsequent studies to combat the mortality of COVID-19 and to better understand the molecular dynamics of lethal SARS-CoV-2 and other respiratory infections.
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Affiliation(s)
- Jiwoon Park
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Jonathan Foox
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - David C. Danko
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | | | - Youngmi Kim
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Daniel J. Butler
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Evan E. Afshin
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - André F. Rendeiro
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Yaron Bram
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deanne Taylor
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Saravia-Butler
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Logyx, LLC, Mountain View, CA, USA
| | - Urminder Singh
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Eve Syrkin Wurtele
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Jonathan Schisler
- McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pharmacology, and Department of Pathology and Lab Medicine at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | | | - Steven Salvatore
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas P. Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alison J. Kriegel
- Department of Physiology, Cardiovascular Center, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Olivier Elemento
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Charles M. Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Alain C. Borczuk
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Robert E. Schwartz
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E. Mason
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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14
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Bijlani S, Parker C, Singh NK, Sierra MA, Foox J, Wang CCC, Mason CE, Venkateswaran K. Genomic Characterization of the Titan-like Cell Producing Naganishia tulchinskyi, the First Novel Eukaryote Isolated from the International Space Station. J Fungi (Basel) 2022; 8:jof8020165. [PMID: 35205919 PMCID: PMC8875396 DOI: 10.3390/jof8020165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/29/2022] [Accepted: 02/04/2022] [Indexed: 12/25/2022] Open
Abstract
Multiple strains of a novel yeast belonging to genus Naganishia were isolated from environmental surfaces aboard the International Space Station (ISS). These strains exhibited a phenotype similar to Titan cell (~10 µm diameter) morphology when grown under a combination of simulated microgravity and 5% CO2 conditions. Confocal, scanning, and transmission electron microscopy revealed distinct morphological differences between the microgravity-grown cells and the standard Earth gravity-grown cells, including larger cells and thicker cell walls, altered intracellular morphology, modifications to extracellular fimbriae, budding, and the shedding of bud scars. Phylogenetic analyses via multi-locus sequence typing indicated that these ISS strains represented a single species in the genus Naganishia and were clustered with Naganishia diffluens. The name Naganishia tulchinskyi is proposed to accommodate these strains, with IF6SW-B1T as the holotype. The gene ontologies were assigned to the cell morphogenesis, microtubule-based response, and response to UV light, suggesting a variety of phenotypes that are well suited to respond to microgravity and radiation. Genomic analyses also indicated that the extracellular region, outer membrane, and cell wall were among the highest cellular component results, thus implying a set of genes associated with Titan-like cell plasticity. Finally, the highest molecular function matches included cytoskeletal motor activity, microtubule motor activity, and nuclear export signal receptor activity.
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Affiliation(s)
- Swati Bijlani
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA; (S.B.); (C.C.C.W.)
| | - Ceth Parker
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA; (C.P.); (N.K.S.)
| | - Nitin K. Singh
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA; (C.P.); (N.K.S.)
| | - Maria A. Sierra
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA;
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY 10021, USA;
| | - Jonathan Foox
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY 10021, USA;
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Clay C. C. Wang
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA; (S.B.); (C.C.C.W.)
| | - Christopher E. Mason
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY 10021, USA;
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
- Correspondence: (C.E.M.); (K.V.); Tel.: +1-(203)-668-1448 (C.E.M.); +1-(818)-393-1481 (K.V.); Fax: +1-(646)-962-00383 (C.E.M.); +1-(818)-393-4176 (K.V.)
| | - Kasthuri Venkateswaran
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA; (C.P.); (N.K.S.)
- Correspondence: (C.E.M.); (K.V.); Tel.: +1-(203)-668-1448 (C.E.M.); +1-(818)-393-1481 (K.V.); Fax: +1-(646)-962-00383 (C.E.M.); +1-(818)-393-4176 (K.V.)
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15
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Pan B, Ren L, Onuchic V, Guan M, Kusko R, Bruinsma S, Trigg L, Scherer A, Ning B, Zhang C, Glidewell-Kenney C, Xiao C, Donaldson E, Sedlazeck FJ, Schroth G, Yavas G, Grunenwald H, Chen H, Meinholz H, Meehan J, Wang J, Yang J, Foox J, Shang J, Miclaus K, Dong L, Shi L, Mohiyuddin M, Pirooznia M, Gong P, Golshani R, Wolfinger R, Lababidi S, Sahraeian SME, Sherry S, Han T, Chen T, Shi T, Hou W, Ge W, Zou W, Guo W, Bao W, Xiao W, Fan X, Gondo Y, Yu Y, Zhao Y, Su Z, Liu Z, Tong W, Xiao W, Zook JM, Zheng Y, Hong H. Assessing reproducibility of inherited variants detected with short-read whole genome sequencing. Genome Biol 2022; 23:2. [PMID: 34980216 PMCID: PMC8722114 DOI: 10.1186/s13059-021-02569-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 12/06/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Reproducible detection of inherited variants with whole genome sequencing (WGS) is vital for the implementation of precision medicine and is a complicated process in which each step affects variant call quality. Systematically assessing reproducibility of inherited variants with WGS and impact of each step in the process is needed for understanding and improving quality of inherited variants from WGS. RESULTS To dissect the impact of factors involved in detection of inherited variants with WGS, we sequence triplicates of eight DNA samples representing two populations on three short-read sequencing platforms using three library kits in six labs and call variants with 56 combinations of aligners and callers. We find that bioinformatics pipelines (callers and aligners) have a larger impact on variant reproducibility than WGS platform or library preparation. Single-nucleotide variants (SNVs), particularly outside difficult-to-map regions, are more reproducible than small insertions and deletions (indels), which are least reproducible when > 5 bp. Increasing sequencing coverage improves indel reproducibility but has limited impact on SNVs above 30×. CONCLUSIONS Our findings highlight sources of variability in variant detection and the need for improvement of bioinformatics pipelines in the era of precision medicine with WGS.
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Affiliation(s)
- Bohu Pan
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Luyao Ren
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | | | | | | | | | - Len Trigg
- Real Time Genomics, Hamilton, New Zealand
| | - Andreas Scherer
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- EATRIS ERIC- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | - Baitang Ning
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Chaoyang Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | | | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Eric Donaldson
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, 20993, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Gokhan Yavas
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | | | | | | | - Joe Meehan
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Jing Wang
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100013, China
| | - Jingcheng Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Jun Shang
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | | | - Lianhua Dong
- Center for Advanced Measurement Science, National Institute of Metrology, Beijing, 100013, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | | | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Ping Gong
- Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, 39180, USA
| | | | | | - Samir Lababidi
- Office of Health Informatics, Office of the Commissioner, US Food and Drug Administration, Silver Spring, MD, 20993, USA
| | | | - Steve Sherry
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Tao Han
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Tao Chen
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Wanwan Hou
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | - Weigong Ge
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Wen Zou
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Wenjing Guo
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Wenjun Bao
- SAS Institute Inc., Cary, NC, 27513, USA
| | - Wenzhong Xiao
- Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, CA, 94305, USA
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Yoichi Gondo
- Department of Molecular Life Sciences, Tokai University School of Medicine, 143 Shimokasuya, Isehara, 259-1193, Japan
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 200438, China
| | - Yongmei Zhao
- CCR-SF Bioinformatics Group, Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science, Frederick National Laboratory for Cancer Research, Frederick, MD, 21701, USA
| | - Zhenqiang Su
- Takeda Pharmaceuticals, Cambridge, MA, 02139, USA
| | - Zhichao Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Wenming Xiao
- Division of Molecular Genetics and Pathology, Center for Device and Radiological Health, US Food and Drug Administration, Silver Spring, MD, 20993, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, 200438, China.
- Human Phenome Institute, Fudan University, Shanghai, 200438, China.
| | - Huixiao Hong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.
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16
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Karlebach G, Aronow B, Baylin SB, Butler D, Foox J, Levy S, Meydan C, Mozsary C, Saravia-Butler AM, Taylor DM, Wurtele E, Mason CE, Beheshti A, Robinson PN. Betacoronavirus-specific alternate splicing. Genomics 2022; 114:110270. [PMID: 35074468 PMCID: PMC8782732 DOI: 10.1016/j.ygeno.2022.110270] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/15/2021] [Accepted: 01/16/2022] [Indexed: 11/04/2022]
Abstract
Viruses can subvert a number of cellular processes including splicing in order to block innate antiviral responses, and many viruses interact with cellular splicing machinery. SARS-CoV-2 infection was shown to suppress global mRNA splicing, and at least 10 SARS-CoV-2 proteins bind specifically to one or more human RNAs. Here, we investigate 17 published experimental and clinical datasets related to SARS-CoV-2 infection, datasets from the betacoronaviruses SARS-CoV and MERS, as well as Streptococcus pneumonia, HCV, Zika virus, Dengue virus, influenza H3N2, and RSV. We show that genes showing differential alternative splicing in SARS-CoV-2 have a similar functional profile to those of SARS-CoV and MERS and affect a diverse set of genes and biological functions, including many closely related to virus biology. Additionally, the differentially spliced transcripts of cells infected by coronaviruses were more likely to undergo intron-retention, contain a pseudouridine modification, and have a smaller number of exons as compared with differentially spliced transcripts in the control groups. Viral load in clinical COVID-19 samples was correlated with isoform distribution of differentially spliced genes. A significantly higher number of ribosomal genes are affected by differential alternative splicing and gene expression in betacoronavirus samples, and the betacoronavirus differentially spliced genes are depleted for binding sites of RNA-binding proteins. Our results demonstrate characteristic patterns of differential splicing in cells infected by SARS-CoV-2, SARS-CoV, and MERS. The alternative splicing changes observed in betacoronaviruses infection potentially modify a broad range of cellular functions, via changes in the functions of the products of a diverse set of genes involved in different biological processes.
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17
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Ashton JM, Rehrauer H, Myers J, Myers J, Zanche M, Balys M, Foox J, Mason CE, Steen R, Kuentzel M, Aquino C, Garcia-Reyero N, Chittur SV. Comparative Analysis of Single-Cell RNA Sequencing Platforms and Methods. J Biomol Tech 2021; 32:3fc1f5fe.3eccea01. [PMID: 35837267 PMCID: PMC9258609 DOI: 10.7171/3fc1f5fe.3eccea01] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) offers great new opportunities for increasing our understanding of complex biological processes. In particular, development of an accurate Human Cell Atlas is largely dependent on the rapidly advancing technologies and molecular chemistries employed in scRNA-seq. These advances have already allowed an increase in throughput for scRNA-seq from 96 to 80,000 cells on a single instrument run by capturing cells within nanoliter droplets. Although this increase in throughput is critical for many experimental questions, a thorough comparison between microfluidic-based, plate-based, and droplet-based technologies or between multiple available platforms utilizing these technologies is largely lacking. Here, we report scRNA-seq data from SUM149PT cells treated with the histone deacetylase inhibitor trichostatin A versus untreated controls across several scRNA-seq platforms (Fluidigm C1, WaferGen iCell8, 10x Genomics Chromium Controller, and Illumina/BioRad ddSEQ). The primary goal of this project was to demonstrate RNA sequencing methods for profiling the ultra-low amounts of RNA present in individual cells, and this report discusses the results of the study, as well as technical challenges and lessons learned and present general guidelines for best practices in sample preparation and analysis.
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Affiliation(s)
- John M. Ashton
- University of Rochester Medical Center,
University of Rochester, West Henrietta, New York 14642, USA
| | - Hubert Rehrauer
- Functional Genomics Center Zurich,
ETH and University of Zurich, CH-8057 Zurich, Switzerland
| | - Jason Myers
- University of Rochester Medical Center,
University of Rochester, West Henrietta, New York 14642, USA
| | - Jacqueline Myers
- University of Rochester Medical Center,
University of Rochester, West Henrietta, New York 14642, USA
| | - Michelle Zanche
- University of Rochester Medical Center,
University of Rochester, West Henrietta, New York 14642, USA
| | - Malene Balys
- University of Rochester Medical Center,
University of Rochester, West Henrietta, New York 14642, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics,
Weill Cornell Medicine, New York, NY10065, USA
| | - Chistopher E. Mason
- Department of Physiology and Biophysics,
Weill Cornell Medicine, New York, NY10065, USA
| | - Robert Steen
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Marcy Kuentzel
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, USA
| | - Catharine Aquino
- Functional Genomics Center Zurich,
ETH and University of Zurich, CH-8057 Zurich, Switzerland
| | - Natàlia Garcia-Reyero
- Environmental Laboratory, US Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, USA
| | - Sridar V. Chittur
- Center for Functional Genomics,
University at Albany-SUNY, Rensselaer, New York 12144, USA
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18
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Foox J, Nordlund J, Lalancette C, Gong T, Lacey M, Lent S, Langhorst BW, Ponnaluri VKC, Williams L, Padmanabhan KR, Cavalcante R, Lundmark A, Butler D, Mozsary C, Gurvitch J, Greally JM, Suzuki M, Menor M, Nasu M, Alonso A, Sheridan C, Scherer A, Bruinsma S, Golda G, Muszynska A, Łabaj PP, Campbell MA, Wos F, Raine A, Liljedahl U, Axelsson T, Wang C, Chen Z, Yang Z, Li J, Yang X, Wang H, Melnick A, Guo S, Blume A, Franke V, Ibanez de Caceres I, Rodriguez-Antolin C, Rosas R, Davis JW, Ishii J, Megherbi DB, Xiao W, Liao W, Xu J, Hong H, Ning B, Tong W, Akalin A, Wang Y, Deng Y, Mason CE. The SEQC2 epigenomics quality control (EpiQC) study. Genome Biol 2021; 22:332. [PMID: 34872606 PMCID: PMC8650396 DOI: 10.1186/s13059-021-02529-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 10/28/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cytosine modifications in DNA such as 5-methylcytosine (5mC) underlie a broad range of developmental processes, maintain cellular lineage specification, and can define or stratify types of cancer and other diseases. However, the wide variety of approaches available to interrogate these modifications has created a need for harmonized materials, methods, and rigorous benchmarking to improve genome-wide methylome sequencing applications in clinical and basic research. Here, we present a multi-platform assessment and cross-validated resource for epigenetics research from the FDA's Epigenomics Quality Control Group. RESULTS Each sample is processed in multiple replicates by three whole-genome bisulfite sequencing (WGBS) protocols (TruSeq DNA methylation, Accel-NGS MethylSeq, and SPLAT), oxidative bisulfite sequencing (TrueMethyl), enzymatic deamination method (EMSeq), targeted methylation sequencing (Illumina Methyl Capture EPIC), single-molecule long-read nanopore sequencing from Oxford Nanopore Technologies, and 850k Illumina methylation arrays. After rigorous quality assessment and comparison to Illumina EPIC methylation microarrays and testing on a range of algorithms (Bismark, BitmapperBS, bwa-meth, and BitMapperBS), we find overall high concordance between assays, but also differences in efficiency of read mapping, CpG capture, coverage, and platform performance, and variable performance across 26 microarray normalization algorithms. CONCLUSIONS The data provided herein can guide the use of these DNA reference materials in epigenomics research, as well as provide best practices for experimental design in future studies. By leveraging seven human cell lines that are designated as publicly available reference materials, these data can be used as a baseline to advance epigenomics research.
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Affiliation(s)
- Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA
| | - Jessica Nordlund
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Claudia Lalancette
- BRCF Epigenomics Core, University of Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Ting Gong
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, 96813, USA
| | | | - Samantha Lent
- AbbVie Genomics Research Center, 1 N. Waukegan Rd, North Chicago, IL, 60036, USA
| | | | | | | | | | - Raymond Cavalcante
- BRCF Epigenomics Core, University of Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Anders Lundmark
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Justin Gurvitch
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - John M Greally
- Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Masako Suzuki
- Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Mark Menor
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, 96813, USA
| | - Masaki Nasu
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, 96813, USA
| | - Alicia Alonso
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Caroline Sheridan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
- Division of Hematology/Oncology, Department of Medicine, Epigenomics Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Andreas Scherer
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | | | - Gosia Golda
- Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland
| | - Agata Muszynska
- Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | - Paweł P Łabaj
- Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
| | | | - Frank Wos
- New York Genome Center, New York, NY, 10013, USA
| | - Amanda Raine
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Ulrika Liljedahl
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Tomas Axelsson
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Charles Wang
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
| | - Zhong Chen
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
| | - Zhaowei Yang
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jing Li
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiaopeng Yang
- Department of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, China
| | - Hongwei Wang
- Development of Medicine, the University of Chicago, Chicago, IL, 60637, USA
| | - Ari Melnick
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Shang Guo
- Department of Neurology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, China
| | - Alexander Blume
- Bioinformatics and Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Vedran Franke
- Bioinformatics and Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Inmaculada Ibanez de Caceres
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Cancer Epigenetics Laboratory, INGEMM, IdiPAZ, Madrid, Spain
| | - Carlos Rodriguez-Antolin
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Cancer Epigenetics Laboratory, INGEMM, IdiPAZ, Madrid, Spain
| | - Rocio Rosas
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Cancer Epigenetics Laboratory, INGEMM, IdiPAZ, Madrid, Spain
| | - Justin Wade Davis
- AbbVie Genomics Research Center, 1 N. Waukegan Rd, North Chicago, IL, 60036, USA
| | | | - Dalila B Megherbi
- CMINDS Research Center, Francis College of Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA
| | - Wenming Xiao
- Center for Devices and Radiological Health, Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA
| | - Will Liao
- New York Genome Center, New York, NY, 10013, USA
| | - Joshua Xu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA
| | - Huixiao Hong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA
| | - Baitang Ning
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, Food and Drug Administration, 3900 NCTR Road, Jefferson, AR, 72079, USA
| | - Altuna Akalin
- Bioinformatics and Omics Data Science Platform, Berlin Institute for Medical Systems Biology, Max Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Yunliang Wang
- Department of Neurology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, China.
| | - Youping Deng
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, 96813, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.
- The Feil Family Brain and Mind Research Institute, New York, New York, USA.
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
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19
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Afshinnekoo E, Scott RT, MacKay MJ, Pariset E, Cekanaviciute E, Barker R, Gilroy S, Hassane D, Smith SM, Zwart SR, Nelman-Gonzalez M, Crucian BE, Ponomarev SA, Orlov OI, Shiba D, Muratani M, Yamamoto M, Richards SE, Vaishampayan PA, Meydan C, Foox J, Myrrhe J, Istasse E, Singh N, Venkateswaran K, Keune JA, Ray HE, Basner M, Miller J, Vitaterna MH, Taylor DM, Wallace D, Rubins K, Bailey SM, Grabham P, Costes SV, Mason CE, Beheshti A. Fundamental Biological Features of Spaceflight: Advancing the Field to Enable Deep-Space Exploration. Cell 2021; 184:6002. [PMID: 34822785 DOI: 10.1016/j.cell.2021.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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20
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Micklethwaite KP, Gowrishankar K, Gloss BS, Li Z, Street JA, Moezzi L, Mach MA, Sutrave G, Clancy LE, Bishop DC, Louie RHY, Cai C, Foox J, MacKay M, Sedlazeck FJ, Blombery P, Mason CE, Luciani F, Gottlieb DJ, Blyth E. Investigation of product-derived lymphoma following infusion of piggyBac-modified CD19 chimeric antigen receptor T cells. Blood 2021; 138:1391-1405. [PMID: 33974080 PMCID: PMC8532197 DOI: 10.1182/blood.2021010858] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 04/24/2021] [Indexed: 11/20/2022] Open
Abstract
We performed a phase 1 clinical trial to evaluate outcomes in patients receiving donor-derived CD19-specific chimeric antigen receptor (CAR) T cells for B-cell malignancy that relapsed or persisted after matched related allogeneic hemopoietic stem cell transplant. To overcome the cost and transgene-capacity limitations of traditional viral vectors, CAR T cells were produced using the piggyBac transposon system of genetic modification. Following CAR T-cell infusion, 1 patient developed a gradually enlarging retroperitoneal tumor due to a CAR-expressing CD4+ T-cell lymphoma. Screening of other patients led to the detection, in an asymptomatic patient, of a second CAR T-cell tumor in thoracic para-aortic lymph nodes. Analysis of the first lymphoma showed a high transgene copy number, but no insertion into typical oncogenes. There were also structural changes such as altered genomic copy number and point mutations unrelated to the insertion sites. Transcriptome analysis showed transgene promoter-driven upregulation of transcription of surrounding regions despite insulator sequences surrounding the transgene. However, marked global changes in transcription predominantly correlated with gene copy number rather than insertion sites. In both patients, the CAR T-cell-derived lymphoma progressed and 1 patient died. We describe the first 2 cases of malignant lymphoma derived from CAR gene-modified T cells. Although CAR T cells have an enviable record of safety to date, our results emphasize the need for caution and regular follow-up of CAR T recipients, especially when novel methods of gene transfer are used to create genetically modified immune therapies. This trial was registered at www.anzctr.org.au as ACTRN12617001579381.
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MESH Headings
- Aged
- DNA Transposable Elements
- Gene Expression Regulation, Neoplastic
- Gene Transfer Techniques
- Humans
- Immunotherapy, Adoptive/adverse effects
- Immunotherapy, Adoptive/methods
- Leukemia, B-Cell/genetics
- Leukemia, B-Cell/therapy
- Lymphoma/etiology
- Lymphoma/genetics
- Lymphoma, B-Cell/genetics
- Lymphoma, B-Cell/therapy
- Male
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/therapeutic use
- T-Lymphocytes/metabolism
- Transcriptome
- Transgenes
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Affiliation(s)
- Kenneth P Micklethwaite
- Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, NSW, Australia
- Blood Transplant and Cell Therapies Laboratory, NSW Health Pathology-ICPMR Westmead, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Kavitha Gowrishankar
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Brian S Gloss
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Ziduo Li
- Westmead Institute for Medical Research, Sydney, NSW, Australia
| | - Janine A Street
- Westmead Institute for Medical Research, Sydney, NSW, Australia
| | - Leili Moezzi
- Westmead Institute for Medical Research, Sydney, NSW, Australia
| | - Melanie A Mach
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Gaurav Sutrave
- Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Leighton E Clancy
- Blood Transplant and Cell Therapies Laboratory, NSW Health Pathology-ICPMR Westmead, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Sydney, NSW, Australia
| | - David C Bishop
- Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Raymond H Y Louie
- Kirby Institute, University of New South Wales, Sydney. NSW, Australia
| | - Curtis Cai
- Kirby Institute, University of New South Wales, Sydney. NSW, Australia
| | - Jonathan Foox
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY
| | - Matthew MacKay
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, College of Medicine, Baylor University, Houston, TX
| | - Piers Blombery
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Clinical Haematology, The Royal Melbourne Hospital and Peter MacCallum Cancer Centre, Parkville, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, Australia
| | - Christopher E Mason
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY
- The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, New York, NY
- The Feil Family Brain and Mind Research Institute, New York, NY; and
- The WorldQuant Initiative for Quantitative Prediction, New York, NY
| | - Fabio Luciani
- Kirby Institute, University of New South Wales, Sydney. NSW, Australia
| | - David J Gottlieb
- Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Emily Blyth
- Blood Transplant and Cell Therapies Program, Department of Haematology, Westmead Hospital, Sydney, NSW, Australia
- Blood Transplant and Cell Therapies Laboratory, NSW Health Pathology-ICPMR Westmead, Sydney, NSW, Australia
- Westmead Institute for Medical Research, Sydney, NSW, Australia
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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21
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McDonald JT, Enguita FJ, Taylor D, Griffin RJ, Priebe W, Emmett MR, Sajadi MM, Harris AD, Clement J, Dybas JM, Aykin-Burns N, Guarnieri JW, Singh LN, Grabham P, Baylin SB, Yousey A, Pearson AN, Corry PM, Saravia-Butler A, Aunins TR, Sharma S, Nagpal P, Meydan C, Foox J, Mozsary C, Cerqueira B, Zaksas V, Singh U, Wurtele ES, Costes SV, Davanzo GG, Galeano D, Paccanaro A, Meinig SL, Hagan RS, Bowman NM, Wolfgang MC, Altinok S, Sapoval N, Treangen TJ, Moraes-Vieira PM, Vanderburg C, Wallace DC, Schisler JC, Mason CE, Chatterjee A, Meller R, Beheshti A. Role of miR-2392 in driving SARS-CoV-2 infection. Cell Rep 2021; 37:109839. [PMID: 34624208 PMCID: PMC8481092 DOI: 10.1016/j.celrep.2021.109839] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/13/2021] [Accepted: 09/24/2021] [Indexed: 02/08/2023] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene regulation that have a major impact on many diseases and provide an exciting avenue toward antiviral therapeutics. From patient transcriptomic data, we determined that a circulating miRNA, miR-2392, is directly involved with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) machinery during host infection. Specifically, we show that miR-2392 is key in driving downstream suppression of mitochondrial gene expression, increasing inflammation, glycolysis, and hypoxia, as well as promoting many symptoms associated with coronavirus disease 2019 (COVID-19) infection. We demonstrate that miR-2392 is present in the blood and urine of patients positive for COVID-19 but is not present in patients negative for COVID-19. These findings indicate the potential for developing a minimally invasive COVID-19 detection method. Lastly, using in vitro human and in vivo hamster models, we design a miRNA-based antiviral therapeutic that targets miR-2392, significantly reduces SARS-CoV-2 viability in hamsters, and may potentially inhibit a COVID-19 disease state in humans.
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Affiliation(s)
- J Tyson McDonald
- COVID-19 International Research Team; Georgetown University School of Medicine, Washington, DC 20007, USA
| | - Francisco J Enguita
- COVID-19 International Research Team; Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisbon, Portugal
| | - Deanne Taylor
- COVID-19 International Research Team; The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Robert J Griffin
- COVID-19 International Research Team; University of Arkansas for Medical Sciences, Little Rock, AK 72211, USA
| | - Waldemar Priebe
- COVID-19 International Research Team; University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mark R Emmett
- COVID-19 International Research Team; University of Texas Medical Branch, Galveston, TX 77555, USA
| | | | - Anthony D Harris
- University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Jean Clement
- University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Joseph M Dybas
- COVID-19 International Research Team; The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | | | - Joseph W Guarnieri
- COVID-19 International Research Team; The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Larry N Singh
- COVID-19 International Research Team; The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Peter Grabham
- COVID-19 International Research Team; Columbia University, New York, NY 10032, USA
| | - Stephen B Baylin
- COVID-19 International Research Team; Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Aliza Yousey
- COVID-19 International Research Team; Morehouse School of Medicine, Atlanta, GA 30310, USA
| | | | - Peter M Corry
- COVID-19 International Research Team; University of Arkansas for Medical Sciences, Little Rock, AK 72211, USA
| | - Amanda Saravia-Butler
- COVID-19 International Research Team; Logyx LLC, Mountain View, CA 94043, USA; NASA Ames Research Center, Moffett Field, CA 94035, USA
| | | | - Sadhana Sharma
- University of Colorado Boulder, Boulder, CO 80303, USA; Sachi Bioworks Inc., Boulder, CO 80301, USA
| | - Prashant Nagpal
- Sachi Bioworks Inc., Boulder, CO 80301, USA; Antimicrobial Regeneration Consortium, Boulder Labs, Boulder, CO 80301, USA; Quantum Biology Inc., Boulder, CO 80301, USA
| | - Cem Meydan
- Weill Cornell Medicine, New York, NY 10065, USA
| | | | | | - Bianca Cerqueira
- COVID-19 International Research Team; KBR Space & Science, San Antonio, TX 78235, USA; United States Air Force School of Aerospace Medicine, Lackland AFB, San Antonio, TX 78236, USA
| | - Viktorija Zaksas
- COVID-19 International Research Team; University of Chicago, Chicago, IL 60615, USA
| | - Urminder Singh
- COVID-19 International Research Team; Iowa State University, Ames, IA 50011, USA
| | - Eve Syrkin Wurtele
- COVID-19 International Research Team; Iowa State University, Ames, IA 50011, USA
| | | | | | - Diego Galeano
- COVID-19 International Research Team; Fundação Getulio Vargas, Rio de Janeiro, Brazil; National University of Asuncion, San Lorenzo, Central, Paraguay
| | - Alberto Paccanaro
- COVID-19 International Research Team; Fundação Getulio Vargas, Rio de Janeiro, Brazil; University of London, Egham Hill, Egham, UK
| | - Suzanne L Meinig
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Robert S Hagan
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Natalie M Bowman
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - Selin Altinok
- University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | | | | | | | - Douglas C Wallace
- COVID-19 International Research Team; The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonathan C Schisler
- COVID-19 International Research Team; University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Christopher E Mason
- COVID-19 International Research Team; Weill Cornell Medicine, New York, NY 10065, USA; New York Genome Center, New York, NY, USA
| | - Anushree Chatterjee
- COVID-19 International Research Team; University of Colorado Boulder, Boulder, CO 80303, USA; Sachi Bioworks Inc., Boulder, CO 80301, USA; Antimicrobial Regeneration Consortium, Boulder Labs, Boulder, CO 80301, USA
| | - Robert Meller
- COVID-19 International Research Team; Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - Afshin Beheshti
- COVID-19 International Research Team; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; KBR, NASA Ames Research Center, Moffett Field, CA 94035, USA.
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22
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Liu Y, Rosikiewicz W, Pan Z, Jillette N, Wang P, Taghbalout A, Foox J, Mason C, Carroll M, Cheng A, Li S. DNA methylation-calling tools for Oxford Nanopore sequencing: a survey and human epigenome-wide evaluation. Genome Biol 2021; 22:295. [PMID: 34663425 PMCID: PMC8524990 DOI: 10.1186/s13059-021-02510-z] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 10/04/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Nanopore long-read sequencing technology greatly expands the capacity of long-range, single-molecule DNA-modification detection. A growing number of analytical tools have been developed to detect DNA methylation from nanopore sequencing reads. Here, we assess the performance of different methylation-calling tools to provide a systematic evaluation to guide researchers performing human epigenome-wide studies. RESULTS We compare seven analytic tools for detecting DNA methylation from nanopore long-read sequencing data generated from human natural DNA at a whole-genome scale. We evaluate the per-read and per-site performance of CpG methylation prediction across different genomic contexts, CpG site coverage, and computational resources consumed by each tool. The seven tools exhibit different performances across the evaluation criteria. We show that the methylation prediction at regions with discordant DNA methylation patterns, intergenic regions, low CG density regions, and repetitive regions show room for improvement across all tools. Furthermore, we demonstrate that 5hmC levels at least partly contribute to the discrepancy between bisulfite and nanopore sequencing. Lastly, we provide an online DNA methylation database ( https://nanome.jax.org ) to display the DNA methylation levels detected by nanopore sequencing and bisulfite sequencing data across different genomic contexts. CONCLUSIONS Our study is the first systematic benchmark of computational methods for detection of mammalian whole-genome DNA modifications in nanopore sequencing. We provide a broad foundation for cross-platform standardization and an evaluation of analytical tools designed for genome-scale modified base detection using nanopore sequencing.
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Affiliation(s)
- Yang Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Wojciech Rosikiewicz
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Present address: Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ziwei Pan
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, UConn Health Center, Farmington, CT, USA
| | | | - Ping Wang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Aziz Taghbalout
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Martin Carroll
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Albert Cheng
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, UConn Health Center, Farmington, CT, USA
| | - Sheng Li
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
- Department of Genetics and Genome Sciences, UConn Health Center, Farmington, CT, USA.
- The Jackson Laboratory Cancer Center, Bar Harbor, ME, USA.
- Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
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23
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Foox J, Tighe SW, Nicolet CM, Zook JM, Byrska-Bishop M, Clarke WE, Khayat MM, Mahmoud M, Laaguiby PK, Herbert ZT, Warner D, Grills GS, Jen J, Levy S, Xiang J, Alonso A, Zhao X, Zhang W, Teng F, Zhao Y, Lu H, Schroth GP, Narzisi G, Farmerie W, Sedlazeck FJ, Baldwin DA, Mason CE. Author Correction: Performance assessment of DNA sequencing platforms in the ABRF Next-Generation Sequencing Study. Nat Biotechnol 2021; 39:1466. [PMID: 34635840 DOI: 10.1038/s41587-021-01122-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Scott W Tighe
- University of Vermont Cancer Center, Vermont Integrative Genomics Resource, University of Vermont, Burlington, VT, USA
| | - Charles M Nicolet
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Justin M Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | | | - Michael M Khayat
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Phoebe K Laaguiby
- University of Vermont Cancer Center, Vermont Integrative Genomics Resource, University of Vermont, Burlington, VT, USA
| | - Zachary T Herbert
- Molecular Biology Core Facilities, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Derek Warner
- DNA Sequencing Core, University of Utah, Salt Lake City, UT, USA
| | - George S Grills
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Jin Jen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jenny Xiang
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Alicia Alonso
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Xia Zhao
- BGI-Shenzhen, Shenzhen, China.,MGI, BGI-Shenzhen, Shenzhen, China
| | | | | | - Yonggang Zhao
- BGI-Shenzhen, Shenzhen, China.,Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Haorong Lu
- BGI-Shenzhen, Shenzhen, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, China
| | | | | | - William Farmerie
- Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. .,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Don A Baldwin
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. .,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA. .,The Feil Family Brain and Mind Research Institute, New York, NY, USA. .,The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
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24
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Foox J, Bezdan D, Vijay P, Getz K, Ratanachai K, Davis JW, Booher K, Yang X, Meydan C, Mason CE. Epigenetic Forensics for Suspect Identification and Age Prediction. Forensic Genom 2021; 1:83-86. [PMID: 34806083 PMCID: PMC8596498 DOI: 10.1089/forensic.2021.0005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Background: Genetic testing at crime scenes is an instrumental molecular technique to identify or eliminate suspects, as well as to overturn wrongful convictions. Yet, genotyping alone cannot reveal the age of a sample, which could help advance the utility of crime scene samples for suspect identification. The distribution of cytosine methylation within a DNA sample can be leveraged to determine the epigenetic age of someone's blood. Methodology: We sought to demonstrate the ability of DNA methylation markers to accurately discern the age of blood spots from an actual crime scene, a "mock" crime scene, and also from a tube of blood stored in ethylenediaminetetraacetic acid for >20 years. This was achieved by quantifying methylation within known age-associated genetic loci across each DNA sample. We observed a strong linear coefficient (0.91) and high overall correlation (R 2 = 0.963) between the known age of a sample and the predicted age. Conclusion: We show that novel methods for targeted methylation and low-input whole-genome bisulfite sequencing can enable a novel and improved forensic profile of a crime scene that discerns not only who was present at the crime, but also their age. Finally, we use this model to discern the age and provenance of a blood sample that was used in a criminal investigation.
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Affiliation(s)
- Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Daniela Bezdan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Priyanka Vijay
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, New York, USA
| | - Kylie Getz
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Kamolwat Ratanachai
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Justin W. Davis
- AbbVie, Inc., Department of Statistics, North Chicago, Illinois, USA
| | - Keith Booher
- Zymo Research, Epigenetics Division, Irvine, California, USA
| | - Xiaojing Yang
- Zymo Research, Epigenetics Division, Irvine, California, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, New York, USA
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25
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Foox J, Tighe SW, Nicolet CM, Zook JM, Byrska-Bishop M, Clarke WE, Khayat MM, Mahmoud M, Laaguiby PK, Herbert ZT, Warner D, Grills GS, Jen J, Levy S, Xiang J, Alonso A, Zhao X, Zhang W, Teng F, Zhao Y, Lu H, Schroth GP, Narzisi G, Farmerie W, Sedlazeck FJ, Baldwin DA, Mason CE. Performance assessment of DNA sequencing platforms in the ABRF Next-Generation Sequencing Study. Nat Biotechnol 2021; 39:1129-1140. [PMID: 34504351 PMCID: PMC8985210 DOI: 10.1038/s41587-021-01049-5] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 08/05/2021] [Indexed: 02/08/2023]
Abstract
Assessing the reproducibility, accuracy and utility of massively parallel DNA sequencing platforms remains an ongoing challenge. Here the Association of Biomolecular Resource Facilities (ABRF) Next-Generation Sequencing Study benchmarks the performance of a set of sequencing instruments (HiSeq/NovaSeq/paired-end 2 × 250-bp chemistry, Ion S5/Proton, PacBio circular consensus sequencing (CCS), Oxford Nanopore Technologies PromethION/MinION, BGISEQ-500/MGISEQ-2000 and GS111) on human and bacterial reference DNA samples. Among short-read instruments, HiSeq 4000 and X10 provided the most consistent, highest genome coverage, while BGI/MGISEQ provided the lowest sequencing error rates. The long-read instrument PacBio CCS had the highest reference-based mapping rate and lowest non-mapping rate. The two long-read platforms PacBio CCS and PromethION/MinION showed the best sequence mapping in repeat-rich areas and across homopolymers. NovaSeq 6000 using 2 × 250-bp read chemistry was the most robust instrument for capturing known insertion/deletion events. This study serves as a benchmark for current genomics technologies, as well as a resource to inform experimental design and next-generation sequencing variant calling.
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Affiliation(s)
- Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Scott W. Tighe
- University of Vermont Cancer Center, Vermont Integrative Genomics Resource, University of Vermont, Burlington, VT, USA
| | - Charles M. Nicolet
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Justin M. Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | | | - Michael M. Khayat
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Phoebe K. Laaguiby
- University of Vermont Cancer Center, Vermont Integrative Genomics Resource, University of Vermont, Burlington, VT, USA
| | - Zachary T. Herbert
- Molecular Biology Core Facilities, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Derek Warner
- DNA Sequencing Core, University of Utah, Salt Lake City, UT, USA
| | - George S. Grills
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Jin Jen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Shawn Levy
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Jenny Xiang
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Alicia Alonso
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Xia Zhao
- BGI-Shenzhen, Shenzhen, China.,MGI, BGI-Shenzhen, Shenzhen, China
| | | | | | - Yonggang Zhao
- BGI-Shenzhen, Shenzhen, China.,Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Haorong Lu
- BGI-Shenzhen, Shenzhen, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen, China
| | | | | | - William Farmerie
- Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.,Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.,Correspondence and requests for materials should be addressed to Fritz J. Sedlazeck, Don A. Baldwin or Christopher E. Mason. ; ;
| | - Don A. Baldwin
- Department of Pathology, Fox Chase Cancer Center, Philadelphia, PA, USA.,Correspondence and requests for materials should be addressed to Fritz J. Sedlazeck, Don A. Baldwin or Christopher E. Mason. ; ;
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.,The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.,The Feil Family Brain and Mind Research Institute, New York, NY, USA.,The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.,Correspondence and requests for materials should be addressed to Fritz J. Sedlazeck, Don A. Baldwin or Christopher E. Mason. ; ;
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26
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Tighe SW, Hayden AF, Kuentzel ML, Eckstrom KM, Foox J, Vellone DL, Finstad KH, Laaguiby PK, Hoffman JJ, Chittur SV. Molecular Characterization of Increased Amplicon Lengths in SARS-CoV-2 Reverse Transcription Loop-Mediated Isothermal Amplification Assays. J Biomol Tech 2021; 32:199-205. [PMID: 35027877 PMCID: PMC8730522 DOI: 10.7171/jbt.21-3203-015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Loop-mediated isothermal amplification (LAMP) is a power tool for the amplification of specific RNA and DNA targets. Much like PCR, LAMP requires primers that surround a target amplification region and generates exponential product through a unique highly specific daisy-chain single-temperature amplification reaction. However, until recently, attempts to amplify targets of greater than 200 base pairs (bp) have been mostly unsuccessful and limited to short amplicon targets of less than 150 bp. Although short amplicons have the benefit of a rapid detection (<40 min), they do not allow for the prediction of RNA integrity based on RNA length and possible intactness. In this study, 8 primer sets were developed using 2 LAMP primer-specific software packages against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid gene with insert lengths ranging from 262 to 945 bp in order to amplify and infer the integrity of viral RNA. Because these amplification lengths are greater than the current methods that use an insert length of 130 or less, they require a longer incubation, modified primer and temperature strategies, and the addition of specific adjuncts to prevent nonspecific amplification. This proof of concept study resulted in successful reverse transcription LAMP reactions for amplicon targets of 262, 687, 693, and 945 bp using a clinical nasopharyngeal NP sample, purified SARS-CoV-2 RNA, and crude lysate containing inactivated virus.
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Affiliation(s)
- Scott W. Tighe
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Andrew F. Hayden
- Center for Functional Genomics, University at Albany—State University of New York, Rensselaer, NY 12144, USA
| | - Marcy L. Kuentzel
- Center for Functional Genomics, University at Albany—State University of New York, Rensselaer, NY 12144, USA
| | - Korin M. Eckstrom
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Daniel L. Vellone
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Kristiaan H. Finstad
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Pheobe K. Laaguiby
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Jessica J. Hoffman
- University of Vermont, Vermont Integrative Genomics, Burlington, Vermont 05405, USA
| | - Sridar V. Chittur
- Center for Functional Genomics, University at Albany—State University of New York, Rensselaer, NY 12144, USA
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27
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Fang LT, Zhu B, Zhao Y, Chen W, Yang Z, Kerrigan L, Langenbach K, de Mars M, Lu C, Idler K, Jacob H, Zheng Y, Ren L, Yu Y, Jaeger E, Schroth GP, Abaan OD, Talsania K, Lack J, Shen TW, Chen Z, Stanbouly S, Tran B, Shetty J, Kriga Y, Meerzaman D, Nguyen C, Petitjean V, Sultan M, Cam M, Mehta M, Hung T, Peters E, Kalamegham R, Sahraeian SME, Mohiyuddin M, Guo Y, Yao L, Song L, Lam HYK, Drabek J, Vojta P, Maestro R, Gasparotto D, Kõks S, Reimann E, Scherer A, Nordlund J, Liljedahl U, Jensen RV, Pirooznia M, Li Z, Xiao C, Sherry ST, Kusko R, Moos M, Donaldson E, Tezak Z, Ning B, Tong W, Li J, Duerken-Hughes P, Catalanotti C, Maheshwari S, Shuga J, Liang WS, Keats J, Adkins J, Tassone E, Zismann V, McDaniel T, Trent J, Foox J, Butler D, Mason CE, Hong H, Shi L, Wang C, Xiao W. Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. Nat Biotechnol 2021; 39:1151-1160. [PMID: 34504347 PMCID: PMC8532138 DOI: 10.1038/s41587-021-00993-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 06/18/2021] [Indexed: 02/08/2023]
Abstract
The lack of samples for generating standardized DNA datasets for setting up a sequencing pipeline or benchmarking the performance of different algorithms limits the implementation and uptake of cancer genomics. Here, we describe reference call sets obtained from paired tumor-normal genomic DNA (gDNA) samples derived from a breast cancer cell line-which is highly heterogeneous, with an aneuploid genome, and enriched in somatic alterations-and a matched lymphoblastoid cell line. We partially validated both somatic mutations and germline variants in these call sets via whole-exome sequencing (WES) with different sequencing platforms and targeted sequencing with >2,000-fold coverage, spanning 82% of genomic regions with high confidence. Although the gDNA reference samples are not representative of primary cancer cells from a clinical sample, when setting up a sequencing pipeline, they not only minimize potential biases from technologies, assays and informatics but also provide a unique resource for benchmarking 'tumor-only' or 'matched tumor-normal' analyses.
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Affiliation(s)
- Li Tai Fang
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yongmei Zhao
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wanqiu Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Zhaowei Yang
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liz Kerrigan
- ATCC (American Type Culture Collection), Manassas, VA, USA
| | | | | | - Charles Lu
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Kenneth Idler
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Howard Jacob
- Computational Genomics, Genomics Research Center (GRC), AbbVie, North Chicago, IL, USA
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Luyao Ren
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | | | | | | | - Keyur Talsania
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Justin Lack
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tsai-Wei Shen
- Advanced Biomedical and Computational Sciences, Biomedical Informatics and Data Science Directorate, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Zhong Chen
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Seta Stanbouly
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Bao Tran
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jyoti Shetty
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Yuliya Kriga
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Daoud Meerzaman
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Rockville, MD, USA
| | - Cu Nguyen
- Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Rockville, MD, USA
| | - Virginie Petitjean
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Marc Sultan
- Biomarker Development, Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Margaret Cam
- CCR Collaborative Bioinformatics Resource (CCBR), Office of Science and Technology Resources, Center for Cancer Research, Bethesda, MD, USA
| | - Monika Mehta
- Sequencing Facility, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tiffany Hung
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | - Eric Peters
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | - Rasika Kalamegham
- Genentech, a member of the Roche group, South San Francisco, CA, USA
| | | | - Marghoob Mohiyuddin
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Yunfei Guo
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Lijing Yao
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugo Y K Lam
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., Belmont, CA, USA
| | - Jiri Drabek
- IMTM, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | - Petr Vojta
- IMTM, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
| | - Roberta Maestro
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Daniela Gasparotto
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, National Cancer Institute, Unit of Oncogenetics and Functional Oncogenomics, Aviano, Italy
| | - Sulev Kõks
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Ene Reimann
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Andreas Scherer
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jessica Nordlund
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulrika Liljedahl
- European Infrastructure for Translational Medicine, Amsterdam, the Netherlands
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Roderick V Jensen
- Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Core, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhipan Li
- Sentieon Inc., Mountain View, CA, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Stephen T Sherry
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Malcolm Moos
- Center for Biologics Evaluation and Research, FDA, Silver Spring, MD, USA
| | - Eric Donaldson
- Center for Drug Evaluation and Research, FDA, Silver Spring, MD, USA
| | - Zivana Tezak
- Center for Devices and Radiological Health, FDA, Silver Spring, MD, USA
| | - Baitang Ning
- National Center for Toxicological Research, FDA, Jefferson, AR, USA
| | - Weida Tong
- National Center for Toxicological Research, FDA, Jefferson, AR, USA
| | - Jing Li
- Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | | | | | | | - Winnie S Liang
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jonathan Keats
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Erica Tassone
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | | | - Jeffrey Trent
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Huixiao Hong
- National Center for Toxicological Research, FDA, Jefferson, AR, USA.
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China.
| | - Charles Wang
- Center for Genomics, Loma Linda University School of Medicine, Loma Linda, CA, USA.
- Department of Basic Science, Loma Linda University School of Medicine, Loma Linda, CA, USA.
| | - Wenming Xiao
- Center for Devices and Radiological Health, FDA, Silver Spring, MD, USA.
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28
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McDonald JT, Enguita FJ, Taylor D, Griffin RJ, Priebe W, Emmett MR, Sajadi MM, Harris AD, Clement J, Dybas JM, Aykin-Burns N, Guarnieri JW, Singh LN, Grabham P, Baylin SB, Yousey A, Pearson AN, Corry PM, Saravia-Butler A, Aunins TR, Sharma S, Nagpal P, Meydan C, Foox J, Mozsary C, Cerqueira B, Zaksas V, Singh U, Wurtele ES, Costes SV, Davanzo GG, Galeano D, Paccanaro A, Meinig SL, Hagan RS, Bowman NM, Wolfgang MC, Altinok S, Sapoval N, Treangen TJ, Moraes-Vieira PM, Vanderburg C, Wallace DC, Schisler J, Mason CE, Chatterjee A, Meller R, Beheshti A. The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection. bioRxiv 2021. [PMID: 33948587 DOI: 10.1101/2021.04.23.441024] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene regulation that have a major impact on many diseases and provides an exciting avenue towards antiviral therapeutics. From patient transcriptomic data, we have discovered a circulating miRNA, miR-2392, that is directly involved with SARS-CoV-2 machinery during host infection. Specifically, we show that miR-2392 is key in driving downstream suppression of mitochondrial gene expression, increasing inflammation, glycolysis, and hypoxia as well as promoting many symptoms associated with COVID-19 infection. We demonstrate miR-2392 is present in the blood and urine of COVID-19 positive patients, but not detected in COVID-19 negative patients. These findings indicate the potential for developing a novel, minimally invasive, COVID-19 detection method. Lastly, using in vitro human and in vivo hamster models, we have developed a novel miRNA-based antiviral therapeutic that targets miR-2392, significantly reduces SARS-CoV-2 viability in hamsters and may potentially inhibit a COVID-19 disease state in humans.
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29
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Karlebach G, Aronow B, Baylin SB, Butler D, Foox J, Levy S, Meydan C, Mozsary C, Saravia-Butler AM, Taylor DM, Wurtele E, Mason CE, Beheshti A, Robinson PN. Betacoronavirus-specific alternate splicing. bioRxiv 2021. [PMID: 34230929 PMCID: PMC8259905 DOI: 10.1101/2021.07.02.450920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Viruses can subvert a number of cellular processes in order to block innate antiviral responses, and many viruses interact with cellular splicing machinery. SARS-CoV-2 infection was shown to suppress global mRNA splicing, and at least 10 SARS-CoV-2 proteins bind specifically to one or more human RNAs. Here, we investigate 17 published experimental and clinical datasets related to SARS-CoV-2 infection as well as datasets from the betacoronaviruses SARS-CoV and MERS as well as Streptococcus pneumonia, HCV, Zika virus, Dengue virus, influenza H3N2, and RSV. We show that genes showing differential alternative splicing in SARS-CoV-2 have a similar functional profile to those of SARS-CoV and MERS and affect a diverse set of genes and biological functions, including many closely related to virus biology. Additionally, the differentially spliced transcripts of cells infected by coronaviruses were more likely to undergo intron-retention, contain a pseudouridine modification and a smaller number of exons than differentially spliced transcripts in the control groups. Viral load in clinical COVID-19 samples was correlated with isoform distribution of differentially spliced genes. A significantly higher number of ribosomal genes are affected by DAS and DGE in betacoronavirus samples, and the betacoronavirus differentially spliced genes are depleted for binding sites of RNA-binding proteins. Our results demonstrate characteristic patterns of differential splicing in cells infected by SARS-CoV-2, SARS-CoV, and MERS, potentially modifying a broad range of cellular functions and affecting a diverse set of genes and biological functions.
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30
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Grigorev K, Foox J, Bezdan D, Butler D, Luxton JJ, Reed J, McKenna MJ, Taylor L, George KA, Meydan C, Bailey SM, Mason CE. Haplotype diversity and sequence heterogeneity of human telomeres. Genome Res 2021; 31:1269-1279. [PMID: 34162698 PMCID: PMC8256856 DOI: 10.1101/gr.274639.120] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 05/04/2021] [Indexed: 12/11/2022]
Abstract
Telomeres are regions of repetitive nucleotide sequences capping the ends of eukaryotic chromosomes that protect against deterioration, and whose lengths can be correlated with age and adverse health risk factors. Yet, given their length and repetitive nature, telomeric regions are not easily reconstructed from short-read sequencing, thus making telomere sequencing, mapping, and variant resolution challenging problems. Recently, long-read sequencing, with read lengths measuring in hundreds of kilobase pairs, has made it possible to routinely read into telomeric regions and inspect their sequence structure. Here, we describe a framework for extracting telomeric reads from whole-genome single-molecule sequencing experiments, including de novo identification of telomere repeat motifs and repeat types, and also describe their sequence variation. We find that long, complex telomeric stretches and repeats can be accurately captured with long-read sequencing, observe extensive sequence heterogeneity of human telomeres, discover and localize noncanonical telomere sequence motifs (both previously reported, as well as novel), and validate them in short-read sequence data. These data reveal extensive intra- and inter-population diversity of repeats in telomeric haplotypes, reveal higher paternal inheritance of telomeric variants, and represent the first motif composition maps of multi-kilobase-pair human telomeric haplotypes across three distinct ancestries (Ashkenazi, Chinese, and Utah), which can aid in future studies of genetic variation, aging, and genome biology.
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Affiliation(s)
- Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10021, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10021, USA
- The Feil Family Brain and Mind Research Institute, New York, New York 10065, USA
| | - Daniela Bezdan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10021, USA
- The Feil Family Brain and Mind Research Institute, New York, New York 10065, USA
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
- NGS Competence Center Tübingen, University of Tübingen, 72076 Tübingen, Germany
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
| | - Jared J Luxton
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523, USA
- Cell and Molecular Biology Program, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Jake Reed
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
| | - Miles J McKenna
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523, USA
- Cell and Molecular Biology Program, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Lynn Taylor
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523, USA
| | | | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10021, USA
- The Feil Family Brain and Mind Research Institute, New York, New York 10065, USA
| | - Susan M Bailey
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado 80523, USA
- Cell and Molecular Biology Program, Colorado State University, Fort Collins, Colorado 80523, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10065, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York 10021, USA
- The Feil Family Brain and Mind Research Institute, New York, New York 10065, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, New York 10065, USA
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31
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da Silveira WA, Fazelinia H, Rosenthal SB, Laiakis EC, Kim MS, Meydan C, Kidane Y, Rathi KS, Smith SM, Stear B, Ying Y, Zhang Y, Foox J, Zanello S, Crucian B, Wang D, Nugent A, Costa HA, Zwart SR, Schrepfer S, Elworth RAL, Sapoval N, Treangen T, MacKay M, Gokhale NS, Horner SM, Singh LN, Wallace DC, Willey JS, Schisler JC, Meller R, McDonald JT, Fisch KM, Hardiman G, Taylor D, Mason CE, Costes SV, Beheshti A. Comprehensive Multi-omics Analysis Reveals Mitochondrial Stress as a Central Biological Hub for Spaceflight Impact. Cell 2021; 183:1185-1201.e20. [PMID: 33242417 DOI: 10.1016/j.cell.2020.11.002] [Citation(s) in RCA: 125] [Impact Index Per Article: 41.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/01/2020] [Accepted: 11/02/2020] [Indexed: 12/11/2022]
Abstract
Spaceflight is known to impose changes on human physiology with unknown molecular etiologies. To reveal these causes, we used a multi-omics, systems biology analytical approach using biomedical profiles from fifty-nine astronauts and data from NASA's GeneLab derived from hundreds of samples flown in space to determine transcriptomic, proteomic, metabolomic, and epigenetic responses to spaceflight. Overall pathway analyses on the multi-omics datasets showed significant enrichment for mitochondrial processes, as well as innate immunity, chronic inflammation, cell cycle, circadian rhythm, and olfactory functions. Importantly, NASA's Twin Study provided a platform to confirm several of our principal findings. Evidence of altered mitochondrial function and DNA damage was also found in the urine and blood metabolic data compiled from the astronaut cohort and NASA Twin Study data, indicating mitochondrial stress as a consistent phenotype of spaceflight.
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Affiliation(s)
| | - Hossein Fazelinia
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | | | | | - Man S Kim
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Cem Meydan
- Weill Cornell Medical College, New York, NY 10065, USA
| | - Yared Kidane
- Texas Scottish Rite Hospital for Children, Dallas, TX 75219, USA
| | - Komal S Rathi
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | | | - Benjamin Stear
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yue Ying
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Yuanchao Zhang
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Jonathan Foox
- Weill Cornell Medical College, New York, NY 10065, USA
| | | | | | - Dong Wang
- University of California San Francisco, San Francisco, CA 94115, USA
| | | | | | - Sara R Zwart
- University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Sonja Schrepfer
- University of California San Francisco, San Francisco, CA 94115, USA
| | | | | | | | | | | | | | - Larry N Singh
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | | | - Robert Meller
- Morehouse School of Medicine, Atlanta, GA 30310, USA
| | - J Tyson McDonald
- Georgetown University Medical Center, Washington D.C. 20057, USA
| | | | - Gary Hardiman
- Queens University Belfast, Belfast BT9 5DL, UK; Medical University of South Carolina, Charleston, SC 29425, USA
| | - Deanne Taylor
- The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | | | - Afshin Beheshti
- KBR, NASA Ames Research Center, Moffett Field, CA 94035, USA.
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Afshinnekoo E, Scott RT, MacKay MJ, Pariset E, Cekanaviciute E, Barker R, Gilroy S, Hassane D, Smith SM, Zwart SR, Nelman-Gonzalez M, Crucian BE, Ponomarev SA, Orlov OI, Shiba D, Muratani M, Yamamoto M, Richards SE, Vaishampayan PA, Meydan C, Foox J, Myrrhe J, Istasse E, Singh N, Venkateswaran K, Keune JA, Ray HE, Basner M, Miller J, Vitaterna MH, Taylor DM, Wallace D, Rubins K, Bailey SM, Grabham P, Costes SV, Mason CE, Beheshti A. Fundamental Biological Features of Spaceflight: Advancing the Field to Enable Deep-Space Exploration. Cell 2021; 183:1162-1184. [PMID: 33242416 DOI: 10.1016/j.cell.2020.10.050] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 12/14/2022]
Abstract
Research on astronaut health and model organisms have revealed six features of spaceflight biology that guide our current understanding of fundamental molecular changes that occur during space travel. The features include oxidative stress, DNA damage, mitochondrial dysregulation, epigenetic changes (including gene regulation), telomere length alterations, and microbiome shifts. Here we review the known hazards of human spaceflight, how spaceflight affects living systems through these six fundamental features, and the associated health risks of space exploration. We also discuss the essential issues related to the health and safety of astronauts involved in future missions, especially planned long-duration and Martian missions.
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Affiliation(s)
- Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Ryan T Scott
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Matthew J MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Eloise Pariset
- Universities Space Research Association (USRA), Mountain View, CA 94043, USA; Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Egle Cekanaviciute
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Richard Barker
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA
| | - Simon Gilroy
- Department of Botany, University of Wisconsin, Madison, WI 53706, USA
| | | | - Scott M Smith
- Human Health and Performance Directorate, NASA Johnson Space Center, Houston, TX 77058, USA
| | - Sara R Zwart
- Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX 77555, USA
| | - Mayra Nelman-Gonzalez
- KBR, Human Health and Performance Directorate, NASA Johnson Space Center, Houston, TX 77058, USA
| | - Brian E Crucian
- Human Health and Performance Directorate, NASA Johnson Space Center, Houston, TX 77058, USA
| | - Sergey A Ponomarev
- Institute for the Biomedical Problems, Russian Academy of Sciences, 123007 Moscow, Russia
| | - Oleg I Orlov
- Institute for the Biomedical Problems, Russian Academy of Sciences, 123007 Moscow, Russia
| | - Dai Shiba
- JEM Utilization Center, Human Spaceflight Technology Directorate, Japan Aerospace Exploration Agency (JAXA), Ibaraki 305-8505, Japan
| | - Masafumi Muratani
- Transborder Medical Research Center, and Department of Genome Biology, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan
| | - Masayuki Yamamoto
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan; Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8573, Japan
| | - Stephanie E Richards
- Bionetics, NASA Kennedy Space Center, Kennedy Space Center, Merritt Island, FL 32899, USA
| | - Parag A Vaishampayan
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Jacqueline Myrrhe
- European Space Agency, Research and Payloads Group, Data Exploitation and Utilisation Strategy Office, 2200 AG Noordwijk, the Netherlands
| | - Eric Istasse
- European Space Agency, Research and Payloads Group, Data Exploitation and Utilisation Strategy Office, 2200 AG Noordwijk, the Netherlands
| | - Nitin Singh
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - Kasthuri Venkateswaran
- Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
| | - Jessica A Keune
- Space Medicine Operations Division, NASA Johnson Space Center, Houston, TX 77058, USA
| | - Hami E Ray
- ASRC Federal Space and Defense, Inc., Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
| | - Mathias Basner
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jack Miller
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA; Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Martha Hotz Vitaterna
- Center for Sleep and Circadian Biology, Northwestern University, Evanston, IL 60208, USA; Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Deanne M Taylor
- Department of Biomedical Informatics, The Children's Hospital of Philadelphia, PA 19104, USA; Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; The Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Douglas Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; The Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kathleen Rubins
- Astronaut Office, NASA Johnson Space Center, Houston, TX 77058, USA
| | - Susan M Bailey
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA.
| | - Peter Grabham
- Center for Radiological Research, Department of Oncology, College of Physicians and Surgeons, Columbia University, New York, NY 10027, USA.
| | - Sylvain V Costes
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA; The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY 10021, USA.
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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Rendeiro AF, Ravichandran H, Bram Y, Chandar V, Kim J, Meydan C, Park J, Foox J, Hether T, Warren S, Kim Y, Reeves J, Salvatore S, Mason CE, Swanson EC, Borczuk AC, Elemento O, Schwartz RE. The spatial landscape of lung pathology during COVID-19 progression. Nature 2021; 593:564-569. [PMID: 33780969 PMCID: PMC8204801 DOI: 10.1038/s41586-021-03475-6] [Citation(s) in RCA: 190] [Impact Index Per Article: 63.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 03/19/2021] [Indexed: 12/17/2022]
Abstract
Recent studies have provided insights into the pathology of and immune response to COVID-191-8. However, a thorough investigation of the interplay between infected cells and the immune system at sites of infection has been lacking. Here we use high-parameter imaging mass cytometry9 that targets the expression of 36 proteins to investigate the cellular composition and spatial architecture of acute lung injury in humans (including injuries derived from SARS-CoV-2 infection) at single-cell resolution. These spatially resolved single-cell data unravel the disordered structure of the infected and injured lung, alongside the distribution of extensive immune infiltration. Neutrophil and macrophage infiltration are hallmarks of bacterial pneumonia and COVID-19, respectively. We provide evidence that SARS-CoV-2 infects predominantly alveolar epithelial cells and induces a localized hyperinflammatory cell state that is associated with lung damage. We leverage the temporal range of fatal outcomes of COVID-19 in relation to the onset of symptoms, which reveals increased macrophage extravasation and increased numbers of mesenchymal cells and fibroblasts concomitant with increased proximity between these cell types as the disease progresses-possibly as a result of attempts to repair the damaged lung tissue. Our data enable us to develop a biologically interpretable landscape of lung pathology from a structural, immunological and clinical standpoint. We use this landscape to characterize the pathophysiology of the human lung from its macroscopic presentation to the single-cell level, which provides an important basis for understanding COVID-19 and lung pathology in general.
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Affiliation(s)
- André F Rendeiro
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Hiranmayi Ravichandran
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Yaron Bram
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Vasuretha Chandar
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Junbum Kim
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Jiwoon Park
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Youngmi Kim
- NanoString Technologies, Inc, Seattle, WA, USA
| | | | - Steven Salvatore
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E Mason
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
| | | | - Alain C Borczuk
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Olivier Elemento
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.
| | - Robert E Schwartz
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA.
- Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
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34
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Gong B, Li D, Kusko R, Novoradovskaya N, Zhang Y, Wang S, Pabón-Peña C, Zhang Z, Lai K, Cai W, LoCoco JS, Lader E, Richmond TA, Mittal VK, Liu LC, Johann DJ, Willey JC, Bushel PR, Yu Y, Xu C, Chen G, Burgess D, Cawley S, Giorda K, Haseley N, Qiu F, Wilkins K, Arib H, Attwooll C, Babson K, Bao L, Bao W, Lucas AB, Best H, Bhandari A, Bisgin H, Blackburn J, Blomquist TM, Boardman L, Burgher B, Butler DJ, Chang CJ, Chaubey A, Chen T, Chierici M, Chin CR, Close D, Conroy J, Cooley Coleman J, Craig DJ, Crawford E, Del Pozo A, Deveson IW, Duncan D, Eterovic AK, Fan X, Foox J, Furlanello C, Ghosal A, Glenn S, Guan M, Haag C, Hang X, Happe S, Hennigan B, Hipp J, Hong H, Horvath K, Hu J, Hung LY, Jarosz M, Kerkhof J, Kipp B, Kreil DP, Łabaj P, Lapunzina P, Li P, Li QZ, Li W, Li Z, Liang Y, Liu S, Liu Z, Ma C, Marella N, Martín-Arenas R, Megherbi DB, Meng Q, Mieczkowski PA, Morrison T, Muzny D, Ning B, Parsons BL, Paweletz CP, Pirooznia M, Qu W, Raymond A, Rindler P, Ringler R, Sadikovic B, Scherer A, Schulze E, Sebra R, Shaknovich R, Shi Q, Shi T, Silla-Castro JC, Smith M, López MS, Song P, Stetson D, Strahl M, Stuart A, Supplee J, Szankasi P, Tan H, Tang LY, Tao Y, Thakkar S, Thierry-Mieg D, Thierry-Mieg J, Thodima VJ, Thomas D, Tichý B, Tom N, Garcia EV, Verma S, Walker K, Wang C, Wang J, Wang Y, Wen Z, Wirta V, Wu L, Xiao C, Xiao W, Xu S, Yang M, Ying J, Yip SH, Zhang G, Zhang S, Zhao M, Zheng Y, Zhou X, Mason CE, Mercer T, Tong W, Shi L, Jones W, Xu J. Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions. Genome Biol 2021; 22:109. [PMID: 33863344 PMCID: PMC8051090 DOI: 10.1186/s13059-021-02315-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 03/18/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Targeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing. RESULTS All panels demonstrate high sensitivity across targeted high-confidence coding regions and variant types for the variants previously verified to have variant allele frequency (VAF) in the 5-20% range. Sensitivity is reduced by utilizing VAF thresholds due to inherent variability in VAF measurements. Enforcing a VAF threshold for reporting has a positive impact on reducing false positive calls. Importantly, the false positive rate is found to be significantly higher outside the high-confidence coding regions, resulting in lower reproducibility. Thus, region restriction and VAF thresholds lead to low relative technical variability in estimating promising biomarkers and tumor mutational burden. CONCLUSION This comprehensive study provides actionable guidelines for oncopanel sequencing and clear evidence that supports a simplified approach to assess the analytical performance of oncopanels. It will facilitate the rapid implementation, validation, and quality control of oncopanels in clinical use.
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Affiliation(s)
- Binsheng Gong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Dan Li
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Rebecca Kusko
- Immuneering Corporation, One Broadway, 14th Floor, Cambridge, MA, 02142, USA
| | | | - Yifan Zhang
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
- Department of Information Science, University of Arkansas at Little Rock, 2801 S. Univ. Ave, Little Rock, AR, 72204, USA
| | - Shangzi Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Carlos Pabón-Peña
- Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, CA, 95051, USA
| | - Zhihong Zhang
- Research and Development, Burning Rock Biotech, Shanghai, 201114, China
| | - Kevin Lai
- Bioinformatics, Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Wanshi Cai
- iGeneTech, 8 Shengmingyuan Rd., Zhongguancun Life Science Park, Changping District, Beijing, 100080, China
| | | | - Eric Lader
- Research and Development, QIAGEN Sciences Inc., Frederick, MD, 21703, USA
| | - Todd A Richmond
- Market & Application Development Bioinformatics, Roche Sequencing Solutions Inc., 4300 Hacienda Dr, Pleasanton, CA, 94588, USA
| | - Vinay K Mittal
- Thermo Fisher Scientific, 110 Miller Ave, Ann Arbor, MI, 48104, USA
| | - Liang-Chun Liu
- Clinical Diagnostic Division, Thermo Fisher Scientific, 46500 Kato Rd, Fremont, CA, 94538, USA
| | - Donald J Johann
- Winthrop P Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR, 72205, USA
| | - James C Willey
- Departments of Medicine, Pathology, and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Sciences Campus, 3000 Arlington Ave, Toledo, OH, 43614, USA
| | - Pierre R Bushel
- National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Chang Xu
- Research and Development, QIAGEN Sciences Inc., Frederick, MD, 21703, USA
| | - Guangchun Chen
- Department of Immunology, Genomics and Microarray Core Facility, University of Texas Southwestern Medical Center, 5323 Harry Hine Blvd, Dallas, TX, 75390, USA
| | - Daniel Burgess
- Research and Development, Roche Sequencing Solutions Inc., 500 South Rosa Rd, Madison, WI, 53719, USA
| | - Simon Cawley
- Clinical Sequencing Division, Thermo Fisher Scientific, 180 Oyster Point Blvd, South San Francisco, CA, 94080, USA
| | - Kristina Giorda
- Marketing, Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Nathan Haseley
- Illumina Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Fujun Qiu
- Research and Development, Burning Rock Biotech, Shanghai, 201114, China
| | - Katherine Wilkins
- Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, CA, 95051, USA
| | - Hanane Arib
- Icahn Institute and Dept. of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA
| | | | - Kevin Babson
- Greenwood Genetic Center, 106 Gregor Mendel Circle, Greenwood, SC, 29646, USA
| | - Longlong Bao
- Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Wenjun Bao
- JMP Life Sciences, SAS Institute Inc., Cary, NC, 27519, USA
| | | | - Hunter Best
- Departments of Pathology and Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA
- R&D Genomics MPS, Institute for Clinical and Experimental Pathology ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT, 84108, USA
| | | | - Halil Bisgin
- Department of Computer Science, Engineering and Physics, University of Michigan-Flint, Flint, MI, 48502, USA
| | - James Blackburn
- Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
| | - Thomas M Blomquist
- Department of Pathology, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, 43614, USA
- Lucas County Coroner's Office, 2595 Arlington Ave., Toledo, OH, 43614, USA
| | - Lisa Boardman
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Blake Burgher
- OmniSeq, Inc. 700 Ellicott St, Buffalo, NY, 14203, USA
| | - Daniel J Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - Chia-Jung Chang
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA, 94304, USA
| | - Alka Chaubey
- Greenwood Genetic Center, 106 Gregor Mendel Circle, Greenwood, SC, 29646, USA
| | - Tao Chen
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | | | - Christopher R Chin
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - Devin Close
- R&D Genomics MPS, Institute for Clinical and Experimental Pathology ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT, 84108, USA
| | | | | | - Daniel J Craig
- Department of Medicine, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, 43614, USA
| | - Erin Crawford
- Department of Medicine, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, 43614, USA
| | - Angela Del Pozo
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Ira W Deveson
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
- St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Daniel Duncan
- Cancer Genetics Inc, 201 Route 17 N, Meadows Office Building, Rutherford, NJ, 07070, USA
| | - Agda Karina Eterovic
- Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, 6565 MD Anderson Blvd, Houston, TX, 77030, USA
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | | | | | - Sean Glenn
- OmniSeq, Inc. 700 Ellicott St, Buffalo, NY, 14203, USA
| | - Meijian Guan
- JMP Life Sciences, SAS Institute Inc., Cary, NC, 27519, USA
| | - Christine Haag
- Molecular Laboratory, Prof. F. Raue, Im Weiher 12, Heidelberg, Germany
| | - Xinyi Hang
- iGeneTech, 8 Shengmingyuan Rd., Zhongguancun Life Science Park, Changping District, Beijing, 100080, China
| | - Scott Happe
- Agilent Technologies, 1834 State Hwy 71 West, Cedar Creek, TX, 78612, USA
| | - Brittany Hennigan
- Greenwood Genetic Center, 106 Gregor Mendel Circle, Greenwood, SC, 29646, USA
| | - Jennifer Hipp
- Department of Pathology, Strata Oncology, Inc., Ann Arbor, MI, 48103, USA
| | - Huixiao Hong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Kyle Horvath
- ResearchDx, Inc., 5 Mason, Irvine, CA, 92618, USA
| | - Jianhong Hu
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Li-Yuan Hung
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Mirna Jarosz
- NGS Products and Services, Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Jennifer Kerkhof
- Molecular Genetics Laboratory, Molecular Diagnostics Division, London Health Sciences Centre, 800 Commissioners Rd E, London, Ontario, N6A5W9, Canada
| | - Benjamin Kipp
- Division of Anatomic Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David Philip Kreil
- Bioinformatics Research, Institute of Molecular Biotechnology, Boku University Vienna, Vienna, Austria
| | - Paweł Łabaj
- Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
- Department of Biotechnology, Boku University, Vienna, Austria
| | - Pablo Lapunzina
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, IdiPaz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
- ITHACA, European Reference Network on Rare Congenital Malformations and Rare Intellectual Disability, European Commission, Lille, France
| | - Peng Li
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Quan-Zhen Li
- Department of Immunology, Genomics and Microarray Core Facility, University of Texas Southwestern Medical Center, 5323 Harry Hine Blvd, Dallas, TX, 75390, USA
| | - Weihua Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Zhiguang Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, 116044, Liaoning, China
| | - Yu Liang
- Geneis, 5 Guangshun North St., Chaoyang District, Beijing, 100102, China
| | - Shaoqing Liu
- GeneSmile Ltd Co., Jiangsu Cancer Hospital, 42 Baiziting St., Xuanwu District, Nanjing, 210009, Jiangsu, China
| | - Zhichao Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Charles Ma
- Cancer Genetics Inc, 201 Route 17 N, Meadows Office Building, Rutherford, NJ, 07070, USA
| | - Narasimha Marella
- Cancer Genetics Inc, 201 Route 17 N, Meadows Office Building, Rutherford, NJ, 07070, USA
| | - Rubén Martín-Arenas
- Genycell Biotech España, Calle Garrido Atienza, 18320 Santa Fe, Granada, Spain
| | - Dalila B Megherbi
- CMINDS Research Center, Department of Electrical and Computer Engineering, College of Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA
| | - Qingchang Meng
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Piotr A Mieczkowski
- Department of Genetics, University of North Carolina, 250 Bell Tower Drive, Chapel Hill, NC, 27599, USA
| | - Tom Morrison
- Accugenomics, Inc., 1410 Commonwealth Drive, Suite 105, Wilmington, NC, 20403, USA
| | - Donna Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Baitang Ning
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Barbara L Parsons
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Cloud P Paweletz
- Translational Research Laboratory, Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, 360 Longwood Ave, Boston, MA, 02215, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Wubin Qu
- iGeneTech, 8 Shengmingyuan Rd., Zhongguancun Life Science Park, Changping District, Beijing, 100080, China
| | - Amelia Raymond
- Astrazeneca Pharmaceuticals, 35 Gatehouse Dr, Waltham, MA, 02451, USA
| | - Paul Rindler
- R&D Genomics MPS, Institute for Clinical and Experimental Pathology ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT, 84108, USA
| | | | - Bekim Sadikovic
- Molecular Genetics Laboratory, Molecular Diagnostics Division, London Health Sciences Centre, 800 Commissioners Rd E, London, Ontario, N6A5W9, Canada
- Department of Pathology and Laboratory Medicine, Western University, London, Ontario, N6A3K7, Canada
| | - Andreas Scherer
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Institute for Molecular Medicine Finland (FIMM), Nordic EMBL Partnership for Molecular Medicine, HiLIFE Unit, Biomedicum Helsinki 2U (D302b), P.O. Box 20, (Tukholmankatu 8), FI-00014 University of Helsinki, Helsinki, Finland
| | - Egbert Schulze
- Laboratory for Molecular Genetics, Endocrine Practice, Im Weiher 12, 69121, Heidelberg, Germany
| | - Robert Sebra
- Icahn Institute and Dept. of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA
| | - Rita Shaknovich
- Cancer Genetics Inc, 201 Route 17 N, Meadows Office Building, Rutherford, NJ, 07070, USA
| | - Qiang Shi
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Tieliu Shi
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, 500 Dongchuan Rd, Shanghai, 200241, China
| | | | - Melissa Smith
- Icahn Institute and Dept. of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA
| | - Mario Solís López
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Ping Song
- Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, 6565 MD Anderson Blvd, Houston, TX, 77030, USA
| | - Daniel Stetson
- Astrazeneca Pharmaceuticals, 35 Gatehouse Dr, Waltham, MA, 02451, USA
| | - Maya Strahl
- Icahn Institute and Dept. of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY, 10029, USA
| | - Alan Stuart
- Molecular Genetics Laboratory, Molecular Diagnostics Division, London Health Sciences Centre, 800 Commissioners Rd E, London, Ontario, N6A5W9, Canada
| | - Julianna Supplee
- Translational Research Laboratory, Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, 360 Longwood Ave, Boston, MA, 02215, USA
| | - Philippe Szankasi
- R&D Genomics MPS, Institute for Clinical and Experimental Pathology ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Haowen Tan
- Primbio Genes Biotechnology, Building C6-501, Biolake, No.666 Gaoxin Ave., East Lake High-tech Development Zone, Wuhan, 430074, Hubei, China
| | - Lin-Ya Tang
- Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, 6565 MD Anderson Blvd, Houston, TX, 77030, USA
| | - Yonghui Tao
- Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Shraddha Thakkar
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD, 20894, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD, 20894, USA
| | - Venkat J Thodima
- Cancer Genetics Inc, 201 Route 17 N, Meadows Office Building, Rutherford, NJ, 07070, USA
| | - David Thomas
- St Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2010, Australia
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Boris Tichý
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Nikola Tom
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Elena Vallespin Garcia
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Suman Verma
- ResearchDx, Inc., 5 Mason, Irvine, CA, 92618, USA
| | - Kimbley Walker
- Human Genome Sequencing Center, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Charles Wang
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
- Division of Microbiology & Molecular Genetics, Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA, 92350, USA
| | - Junwen Wang
- Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, 85259, USA
- Department of Health Sciences, Mayo Clinic, Scottsdale, AZ, 85259, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Scottsdale, AZ, 85259, USA
| | - Yexun Wang
- Research and Development, QIAGEN Sciences Inc., Frederick, MD, 21703, USA
| | - Zhining Wen
- College of Chemistry, Sichuan University, Chengdu, 610064, Sichuan, China
| | - Valtteri Wirta
- Science for Life Laboratory, Karolinska Institutet, Tomtebodavägen 23B, 171 65, Solna, Sweden
| | - Leihong Wu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD, 20894, USA
| | - Wenzhong Xiao
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA, 94304, USA
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Shibei Xu
- Department of Biostatistics, Columbia Mailman School of Public Health, 722 West 168th St., New York, NY, 10032, USA
| | - Mary Yang
- Department of Information Science, University of Arkansas at Little Rock, 2801 S. Univ. Ave, Little Rock, AR, 72204, USA
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, No.17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China
| | - Shun H Yip
- Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, 85259, USA
- Center for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Guangliang Zhang
- Clinical Laboratory, Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Sa Zhang
- Clinical Laboratory, Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Meiru Zhao
- Geneplus, PKUCare Industrial Park, Changping District, Beijing, 102206, China
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Xiaoyan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Institute of Pathology, Fudan University, Shanghai, 200032, China
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - Timothy Mercer
- Australian Institute of Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD, Australia
- Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China.
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
- Fudan-Gospel Joint Research Center for Precision Medicine, Fudan University, Shanghai, 200438, China.
| | - Wendell Jones
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd, Morrisville, NC, 27560, USA.
| | - Joshua Xu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.
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35
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Jones W, Gong B, Novoradovskaya N, Li D, Kusko R, Richmond TA, Johann DJ, Bisgin H, Sahraeian SME, Bushel PR, Pirooznia M, Wilkins K, Chierici M, Bao W, Basehore LS, Lucas AB, Burgess D, Butler DJ, Cawley S, Chang CJ, Chen G, Chen T, Chen YC, Craig DJ, Del Pozo A, Foox J, Francescatto M, Fu Y, Furlanello C, Giorda K, Grist KP, Guan M, Hao Y, Happe S, Hariani G, Haseley N, Jasper J, Jurman G, Kreil DP, Łabaj P, Lai K, Li J, Li QZ, Li Y, Li Z, Liu Z, López MS, Miclaus K, Miller R, Mittal VK, Mohiyuddin M, Pabón-Peña C, Parsons BL, Qiu F, Scherer A, Shi T, Stiegelmeyer S, Suo C, Tom N, Wang D, Wen Z, Wu L, Xiao W, Xu C, Yu Y, Zhang J, Zhang Y, Zhang Z, Zheng Y, Mason CE, Willey JC, Tong W, Shi L, Xu J. A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency. Genome Biol 2021; 22:111. [PMID: 33863366 PMCID: PMC8051128 DOI: 10.1186/s13059-021-02316-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 03/18/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Oncopanel genomic testing, which identifies important somatic variants, is increasingly common in medical practice and especially in clinical trials. Currently, there is a paucity of reliable genomic reference samples having a suitably large number of pre-identified variants for properly assessing oncopanel assay analytical quality and performance. The FDA-led Sequencing and Quality Control Phase 2 (SEQC2) consortium analyze ten diverse cancer cell lines individually and their pool, termed Sample A, to develop a reference sample with suitably large numbers of coding positions with known (variant) positives and negatives for properly evaluating oncopanel analytical performance. RESULTS In reference Sample A, we identify more than 40,000 variants down to 1% allele frequency with more than 25,000 variants having less than 20% allele frequency with 1653 variants in COSMIC-related genes. This is 5-100× more than existing commercially available samples. We also identify an unprecedented number of negative positions in coding regions, allowing statistical rigor in assessing limit-of-detection, sensitivity, and precision. Over 300 loci are randomly selected and independently verified via droplet digital PCR with 100% concordance. Agilent normal reference Sample B can be admixed with Sample A to create new samples with a similar number of known variants at much lower allele frequency than what exists in Sample A natively, including known variants having allele frequency of 0.02%, a range suitable for assessing liquid biopsy panels. CONCLUSION These new reference samples and their admixtures provide superior capability for performing oncopanel quality control, analytical accuracy, and validation for small to large oncopanels and liquid biopsy assays.
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Affiliation(s)
- Wendell Jones
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd., Morrisville, NC, 27560, USA.
| | - Binsheng Gong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | | | - Dan Li
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Rebecca Kusko
- Immuneering Corporation, One Broadway, 14th Floor, Cambridge, MA, 02142, USA
| | - Todd A Richmond
- Market & Application Development Bioinformatics, Roche Sequencing Solutions Inc., 4300 Hacienda Dr., Pleasanton, CA, 94588, USA
| | - Donald J Johann
- Winthrop P Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, 4301 W Markham St., Little Rock, AR, 72205, USA
| | - Halil Bisgin
- Department of Computer Science, Engineering and Physics, University of Michigan-Flint, Flint, MI, 48502, USA
| | - Sayed Mohammad Ebrahim Sahraeian
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., 1301 Shoreway Rd., Suite 7 #300, Belmont, CA, 94002, USA
| | - Pierre R Bushel
- National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Mehdi Pirooznia
- Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Katherine Wilkins
- Agilent Technologies, 5301 Stevens Creek Blvd., Santa Clara, CA, 95051, USA
| | | | - Wenjun Bao
- JMP Life Sciences, SAS Institute Inc., Cary, NC, 27519, USA
| | - Lee Scott Basehore
- Agilent Technologies, 11011 N Torrey Pines Rd., La Jolla, CA, 92037, USA
| | | | - Daniel Burgess
- (formerly) Research and Development, Roche Sequencing Solutions Inc., 500 South Rosa Rd., Madison, WI, 53719, USA
| | - Daniel J Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - Simon Cawley
- (formerly) Clinical Sequencing Division, Thermo Fisher Scientific, 180 Oyster Point Blvd., South San Francisco, CA, 94080, USA
| | - Chia-Jung Chang
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA, 94304, USA
| | - Guangchun Chen
- Department of Immunology, Genomics and Microarray Core Facility, University of Texas Southwestern Medical Center, 5323 Harry Hine Blvd., Dallas, TX, 75390, USA
| | - Tao Chen
- University of Texas Southwestern Medical Center, 2330 Inwood Rd., Dallas, TX, 75390, USA
| | - Yun-Ching Chen
- Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Daniel J Craig
- Department of Medicine, College of Medicine and Life Sciences, The University of Toledo, Toledo, OH, 43614, USA
| | - Angela Del Pozo
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | | | - Yutao Fu
- Thermo Fisher Scientific, 110 Miller Ave., Ann Arbor, MI, 48104, USA
| | | | - Kristina Giorda
- Marketing, Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Kira P Grist
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd., Morrisville, NC, 27560, USA
| | - Meijian Guan
- JMP Life Sciences, SAS Institute Inc., Cary, NC, 27519, USA
| | - Yingyi Hao
- College of Chemistry, Sichuan University, Chengdu, 610064, Sichuan, China
| | - Scott Happe
- Agilent Technologies, 1834 State Hwy 71 West, Cedar Creek, TX, 78612, USA
| | - Gunjan Hariani
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd., Morrisville, NC, 27560, USA
| | - Nathan Haseley
- Illumina Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Jeff Jasper
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd., Morrisville, NC, 27560, USA
| | | | - David Philip Kreil
- Bioinformatics Research, Institute of Molecular Biotechnology, Boku University Vienna, Vienna, Austria
| | - Paweł Łabaj
- Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland
- Department of Biotechnology, Boku University, Vienna, Austria
| | - Kevin Lai
- Bioinformatics, Integrated DNA Technologies, Inc., 1710 Commercial Park, Coralville, IA, 52241, USA
| | - Jianying Li
- Kelly Government Solutions, Inc., Research Triangle Park, NC, 27709, USA
| | - Quan-Zhen Li
- Department of Immunology, Genomics and Microarray Core Facility, University of Texas Southwestern Medical Center, 5323 Harry Hine Blvd., Dallas, TX, 75390, USA
| | - Yulong Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Zhiguang Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning, China
| | - Zhichao Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Mario Solís López
- Institute of Medical and Molecular Genetics (INGEMM), Hospital Universitario La Paz, CIBERER Instituto de Salud Carlos III, 28046, Madrid, Spain
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
| | - Kelci Miclaus
- JMP Life Sciences, SAS Institute Inc., Cary, NC, 27519, USA
| | - Raymond Miller
- Agilent Technologies, 5301 Stevens Creek Blvd., Santa Clara, CA, 95051, USA
| | - Vinay K Mittal
- Thermo Fisher Scientific, 110 Miller Ave., Ann Arbor, MI, 48104, USA
| | - Marghoob Mohiyuddin
- Bioinformatics Research & Early Development, Roche Sequencing Solutions Inc., 1301 Shoreway Rd., Suite 7 #300, Belmont, CA, 94002, USA
| | - Carlos Pabón-Peña
- Agilent Technologies, 5301 Stevens Creek Blvd., Santa Clara, CA, 95051, USA
| | - Barbara L Parsons
- Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Fujun Qiu
- Research and Development, Burning Rock Biotech, Shanghai, 201114, China
| | - Andreas Scherer
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Institute for Molecular Medicine Finland (FIMM), Nordic EMBL Partnership for Molecular Medicine, HiLIFE Unit, Biomedicum Helsinki 2U (D302b), FI-00014 University of Helsinki, P.O. Box 20 (Tukholmankatu 8), Helsinki, Finland
| | - Tieliu Shi
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, 500 Dongchuan Rd, Shanghai, 200241, China
| | - Suzy Stiegelmeyer
- University of North Carolina Health, 101 Manning Drive, Chapel Hill, NC, 27514, USA
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Nikola Tom
- EATRIS ERIC- European Infrastructure for Translational Medicine, De Boelelaan 1118, 1081, HZ, Amsterdam, The Netherlands
- Center of Molecular Medicine, Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic
| | - Dong Wang
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Zhining Wen
- College of Chemistry, Sichuan University, Chengdu, 610064, Sichuan, China
| | - Leihong Wu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Wenzhong Xiao
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA, 94304, USA
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Chang Xu
- Research and Development, QIAGEN Sciences Inc., Frederick, MD, 21703, USA
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Jiyang Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Yifan Zhang
- University of Arkansas at Little Rock, Little Rock, AR, 72204, USA
| | - Zhihong Zhang
- Research and Development, Burning Rock Biotech, Shanghai, 201114, China
| | - Yuanting Zheng
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, Cornell University, New York, NY, 10065, USA
| | - James C Willey
- Departments of Medicine, Pathology, and Cancer Biology, College of Medicine and Life Sciences, University of Toledo Health Sciences Campus, 3000 Arlington Ave, Toledo, OH, 43614, USA
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai, 200438, China
- Human Phenome Institute, Fudan University, Shanghai, 201203, China
- Fudan-Gospel Joint Research Center for Precision Medicine, Fudan University, Shanghai, 200438, China
| | - Joshua Xu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.
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36
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Sapoval N, Mahmoud M, Jochum MD, Liu Y, Elworth RAL, Wang Q, Albin D, Ogilvie HA, Lee MD, Villapol S, Hernandez KM, Maljkovic Berry I, Foox J, Beheshti A, Ternus K, Aagaard KM, Posada D, Mason CE, Sedlazeck FJ, Treangen TJ. SARS-CoV-2 genomic diversity and the implications for qRT-PCR diagnostics and transmission. Genome Res 2021; 31:635-644. [PMID: 33602693 PMCID: PMC8015855 DOI: 10.1101/gr.268961.120] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 02/12/2021] [Indexed: 12/23/2022]
Abstract
The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 lineages that have spread throughout the world. In this study, we investigated 129 RNA-seq data sets and 6928 consensus genomes to contrast the intra-host and inter-host diversity of SARS-CoV-2. Our analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights intra-host single nucleotide variant (iSNV) and SNP similarity, albeit with differences in C > U changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of insertions and deletions contribute to the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.
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Affiliation(s)
- Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Michael D Jochum
- Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas 77030, USA
| | - Yunxi Liu
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - R A Leo Elworth
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Qi Wang
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Rice University, Houston, Texas 77005, USA
| | - Dreycey Albin
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Rice University, Houston, Texas 77005, USA
| | - Huw A Ogilvie
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
| | - Michael D Lee
- Exobiology Branch, NASA Ames Research Center, Mountain View, California 94043, USA
- Blue Marble Space Institute of Science, Seattle, Washington 98104, USA
| | - Sonia Villapol
- Department of Neurosurgery, Houston Methodist Research Institute, Houston, Texas 77030, USA
| | - Kyle M Hernandez
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
- Center for Translational Data Science, University of Chicago, Chicago, Illinois 60637, USA
| | | | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10021, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, California 94035, USA
| | | | - Kjersti M Aagaard
- Department of Obstetrics and Gynecology, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas 77030, USA
| | - David Posada
- CINBIO, Universidade de Vigo, 36310 Vigo, Spain
- Department of Biochemistry, Genetics, and Immunology, Universidade de Vigo, 36310 Vigo, Spain
- Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36213 Vigo, Spain
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York 10021, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Todd J Treangen
- Department of Computer Science, Rice University, Houston, Texas 77005, USA
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37
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Butler D, Mozsary C, Meydan C, Foox J, Rosiene J, Shaiber A, Danko D, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Sholle ET, Schenck EJ, Westover CD, Hassan C, Ryon K, Young B, Bhattacharya C, Ng DL, Granados AC, Santos YA, Servellita V, Federman S, Ruggiero P, Fungtammasan A, Chin CS, Pearson NM, Langhorst BW, Tanner NA, Kim Y, Reeves JW, Hether TD, Warren SE, Bailey M, Gawrys J, Meleshko D, Xu D, Couto-Rodriguez M, Nagy-Szakal D, Barrows J, Wells H, O'Hara NB, Rosenfeld JA, Chen Y, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Iftner A, Bezdan D, Sanchez E, Campion TR, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Shapira S, Hajirasouliha I, Borczuk A, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Wu S, Levy S, Chiu C, Schwartz RE, Tatonetti N, Rennert H, Imielinski M, Mason CE. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Nat Commun 2021; 12:1660. [PMID: 33712587 PMCID: PMC7954844 DOI: 10.1038/s41467-021-21361-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 01/25/2021] [Indexed: 02/08/2023] Open
Abstract
In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.
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Affiliation(s)
- Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, Columbia, NY, USA
| | - Evan T Sholle
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Craig D Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ciaran Hassan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Dianna L Ng
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | | | - Dorottya Nagy-Szakal
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | | | | | - Niamh B O'Hara
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Jeffrey A Rosenfeld
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
- Department of Pathology, Robert Wood Johnson Medical School, New York, NJ, USA
| | - Ying Chen
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
| | - Peter A D Steel
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Amos J Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | | | - Thomas R Campion
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Alain Borczuk
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lars F Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | | | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA.
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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Park J, Foox J, Hether T, Danko D, Warren S, Kim Y, Reeves J, Butler DJ, Mozsary C, Rosiene J, Shaiber A, Afshinnekoo E, MacKay M, Bram Y, Chandar V, Geiger H, Craney A, Velu P, Melnick AM, Hajirasouliha I, Beheshti A, Taylor D, Saravia-Butler A, Singh U, Wurtele ES, Schisler J, Fennessey S, Corvelo A, Zody MC, Germer S, Salvatore S, Levy S, Wu S, Tatonetti N, Shapira S, Salvatore M, Loda M, Westblade LF, Cushing M, Rennert H, Kriegel AJ, Elemento O, Imielinski M, Borczuk AC, Meydan C, Schwartz RE, Mason CE. Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID-19 Autopsies and Spatial Omics Tissue Maps. bioRxiv 2021. [PMID: 33758858 DOI: 10.1101/2021.03.08.434433] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus has infected over 115 million people and caused over 2.5 million deaths worldwide. Yet, the molecular mechanisms underlying the clinical manifestations of COVID-19, as well as what distinguishes them from common seasonal influenza virus and other lung injury states such as Acute Respiratory Distress Syndrome (ARDS), remains poorly understood. To address these challenges, we combined transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues, matched with spatial protein and expression profiling (GeoMx) across 357 tissue sections. These results define both body-wide and tissue-specific (heart, liver, lung, kidney, and lymph nodes) damage wrought by the SARS-CoV-2 infection, evident as a function of varying viral load (high vs. low) during the course of infection and specific, transcriptional dysregulation in splicing isoforms, T cell receptor expression, and cellular expression states. In particular, cardiac and lung tissues revealed the largest degree of splicing isoform switching and cell expression state loss. Overall, these findings reveal a systemic disruption of cellular and transcriptional pathways from COVID-19 across all tissues, which can inform subsequent studies to combat the mortality of COVID-19, as well to better understand the molecular dynamics of lethal SARS-CoV-2 infection and other viruses.
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39
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Ng DL, Granados AC, Santos YA, Servellita V, Goldgof GM, Meydan C, Sotomayor-Gonzalez A, Levine AG, Balcerek J, Han LM, Akagi N, Truong K, Neumann NM, Nguyen DN, Bapat SP, Cheng J, Martin CSS, Federman S, Foox J, Gopez A, Li T, Chan R, Chu CS, Wabl CA, Gliwa AS, Reyes K, Pan CY, Guevara H, Wadford D, Miller S, Mason CE, Chiu CY. A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood. Sci Adv 2021; 7:eabe5984. [PMID: 33536218 PMCID: PMC7857687 DOI: 10.1126/sciadv.abe5984] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/15/2020] [Indexed: 05/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease-19 (COVID-19), has emerged as the cause of a global pandemic. We used RNA sequencing to analyze 286 nasopharyngeal (NP) swab and 53 whole-blood (WB) samples from 333 patients with COVID-19 and controls. Overall, a muted immune response was observed in COVID-19 relative to other infections (influenza, other seasonal coronaviruses, and bacterial sepsis), with paradoxical down-regulation of several key differentially expressed genes. Hospitalized patients and outpatients exhibited up-regulation of interferon-associated pathways, although heightened and more robust inflammatory responses were observed in hospitalized patients with more clinically severe illness. Two-layer machine learning-based host classifiers consisting of complete (>1000 genes), medium (<100), and small (<20) gene biomarker panels identified COVID-19 disease with 85.1-86.5% accuracy when benchmarked using an independent test set. SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for COVID-19 diagnosis.
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Affiliation(s)
- Dianna L Ng
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Gregory M Goldgof
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Alicia Sotomayor-Gonzalez
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Andrew G Levine
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna Balcerek
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Lucy M Han
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Naomi Akagi
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Kent Truong
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Neil M Neumann
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - David N Nguyen
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
| | - Sagar P Bapat
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, USA
| | - Jing Cheng
- Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Claudia Sanchez-San Martin
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Allan Gopez
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Tony Li
- Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, USA
| | - Ray Chan
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Cynthia S Chu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Chiara A Wabl
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Amelia S Gliwa
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Kevin Reyes
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Chao-Yang Pan
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Hugo Guevara
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Debra Wadford
- Viral and Rickettsial Disease Laboratory, California Department of Health, Richmond, CA, USA
| | - Steve Miller
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA.
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA, USA
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40
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Mencia-Trinchant N, MacKay MJ, Chin C, Afshinnekoo E, Foox J, Meydan C, Butler D, Mozsary C, Vernice NA, Darby C, Schatz MC, Bailey SM, Melnick AM, Guzman ML, Bolton K, Braunstein LZ, Garrett-Bakelman F, Levine RL, Hassane DC, Mason CE. Clonal hematopoiesis before, during, and after human spaceflight. Cell Rep 2021; 34:108740. [PMID: 33567281 DOI: 10.1016/j.celrep.2021.108740] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Bell LC, Meydan C, Kim J, Foox J, Butler D, Mason CE, Shapira SD, Noursadeghi M, Pollara G. Transcriptional response modules characterize IL-1β and IL-6 activity in COVID-19. iScience 2021; 24:101896. [PMID: 33319166 PMCID: PMC7721347 DOI: 10.1016/j.isci.2020.101896] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/16/2020] [Accepted: 12/02/2020] [Indexed: 12/16/2022] Open
Abstract
Dysregulated IL-1β and IL-6 responses have been implicated in the pathogenesis of severe Coronavirus Disease 2019 (COVID-19). Innovative approaches for evaluating the biological activity of these cytokines in vivo are urgently needed to complement clinical trials of therapeutic targeting of IL-1β and IL-6 in COVID-19. We show that the expression of IL-1β or IL-6 inducible transcriptional signatures (modules) reflects the bioactivity of these cytokines in immunopathology modelled by juvenile idiopathic arthritis (JIA) and rheumatoid arthritis. In COVID-19, elevated expression of IL-1β and IL-6 response modules, but not the cytokine transcripts themselves, is a feature of infection in the nasopharynx and blood but is not associated with severity of COVID-19 disease, length of stay, or mortality. We propose that IL-1β and IL-6 transcriptional response modules provide a dynamic readout of functional cytokine activity in vivo, aiding quantification of the biological effects of immunomodulatory therapies in COVID-19.
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Affiliation(s)
- Lucy C.K. Bell
- Division of Infection & Immunity, University College London, Cruciform Building, Gower Street, London WC1E 6BT, UK
- Hospital for Tropical Diseases, University College London Hospitals NHS Trust, London, UK
| | - Cem Meydan
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jacob Kim
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E. Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Sagi D. Shapira
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Mahdad Noursadeghi
- Division of Infection & Immunity, University College London, Cruciform Building, Gower Street, London WC1E 6BT, UK
- Hospital for Tropical Diseases, University College London Hospitals NHS Trust, London, UK
| | - Gabriele Pollara
- Division of Infection & Immunity, University College London, Cruciform Building, Gower Street, London WC1E 6BT, UK
- Department of Infection, Royal Free London NHS Trust, London, UK
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42
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Bezdan D, Grigorev K, Meydan C, Pelissier Vatter FA, Cioffi M, Rao V, MacKay M, Nakahira K, Burnham P, Afshinnekoo E, Westover C, Butler D, Mozsary C, Donahoe T, Foox J, Mishra T, Lucotti S, Rana BK, Melnick AM, Zhang H, Matei I, Kelsen D, Yu K, Lyden DC, Taylor L, Bailey SM, Snyder MP, Garrett-Bakelman FE, Ossowski S, De Vlaminck I, Mason CE. Cell-free DNA (cfDNA) and Exosome Profiling from a Year-Long Human Spaceflight Reveals Circulating Biomarkers. iScience 2020; 23:101844. [PMID: 33376973 PMCID: PMC7756145 DOI: 10.1016/j.isci.2020.101844] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/12/2020] [Accepted: 11/18/2020] [Indexed: 12/11/2022] Open
Abstract
Liquid biopsies based on cell-free DNA (cfDNA) or exosomes provide a noninvasive approach to monitor human health and disease but have not been utilized for astronauts. Here, we profile cfDNA characteristics, including fragment size, cellular deconvolution, and nucleosome positioning, in an astronaut during a year-long mission on the International Space Station, compared to his identical twin on Earth and healthy donors. We observed a significant increase in the proportion of cell-free mitochondrial DNA (cf-mtDNA) inflight, and analysis of post-flight exosomes in plasma revealed a 30-fold increase in circulating exosomes and patient-specific protein cargo (including brain-derived peptides) after the year-long mission. This longitudinal analysis of astronaut cfDNA during spaceflight and the exosome profiles highlights their utility for astronaut health monitoring, as well as cf-mtDNA levels as a potential biomarker for physiological stress or immune system responses related to microgravity, radiation exposure, and the other unique environmental conditions of spaceflight.
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Affiliation(s)
- Daniela Bezdan
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital, Tubingen, Germany
| | - Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Fanny A. Pelissier Vatter
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Michele Cioffi
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Varsha Rao
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | | | - Philip Burnham
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Craig Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Chris Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Timothy Donahoe
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Tejaswini Mishra
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Serena Lucotti
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Brinda K. Rana
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Haiying Zhang
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - David Kelsen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David C. Lyden
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Lynn Taylor
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Susan M. Bailey
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Francine E. Garrett-Bakelman
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA, USA
- University of Virginia Cancer Center, Charlottesville, VA, USA
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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Bell LCK, Meydan C, Kim J, Foox J, Butler D, Mason CE, Shapira SD, Noursadeghi M, Pollara G. Transcriptional response modules characterise IL-1β and IL-6 activity in COVID-19. bioRxiv 2020:2020.07.22.202275. [PMID: 33299992 PMCID: PMC7724660 DOI: 10.1101/2020.07.22.202275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Dysregulated IL-1β and IL-6 responses have been implicated in the pathogenesis of severe Coronavirus Disease 2019 (COVID-19). Innovative approaches for evaluating the biological activity of these cytokines in vivo are urgently needed to complement clinical trials of therapeutic targeting of IL-1β and IL-6 in COVID-19. We show that the expression of IL-1β or IL-6 inducible transcriptional signatures (modules) reflects the bioactivity of these cytokines in immunopathology modelled by juvenile idiopathic arthritis (JIA) and rheumatoid arthritis. In COVID-19, elevated expression of IL-1β and IL-6 response modules, but not the cytokine transcripts themselves, is a feature of infection in the nasopharynx and blood, but is not associated with severity of COVID-19 disease, length of stay or mortality. We propose that IL-1β and IL-6 transcriptional response modules provide a dynamic readout of functional cytokine activity in vivo, aiding quantification of the biological effects of immunomodulatory therapies in COVID-19.
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Affiliation(s)
- Lucy CK Bell
- Division of Infection & Immunity, University College London, London, UK
- Hospital for Tropical Diseases, University College London Hospitals NHS Trust, London, UK
| | - Cem Meydan
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Jacob Kim
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E. Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Sagi D. Shapira
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Mahdad Noursadeghi
- Division of Infection & Immunity, University College London, London, UK
- Hospital for Tropical Diseases, University College London Hospitals NHS Trust, London, UK
| | - Gabriele Pollara
- Division of Infection & Immunity, University College London, London, UK
- Department of Infection, Royal Free London NHS Trust, London, UK
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Mencia-Trinchant N, MacKay MJ, Chin C, Afshinnekoo E, Foox J, Meydan C, Butler D, Mozsary C, Vernice NA, Darby C, Schatz MC, Bailey SM, Melnick AM, Guzman ML, Bolton K, Braunstein LZ, Garrett-Bakelman F, Levine RL, Hassane DC, Mason CE. Clonal Hematopoiesis Before, During, and After Human Spaceflight. Cell Rep 2020; 33:108458. [PMID: 33242405 PMCID: PMC9398182 DOI: 10.1016/j.celrep.2020.108458] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 10/29/2020] [Accepted: 11/09/2020] [Indexed: 12/12/2022] Open
Abstract
Clonal hematopoiesis (CH) occurs when blood cells harboring an advantageous mutation propagate faster than others. These mutations confer a risk for hematological cancers and cardiovascular disease. Here, we analyze CH in blood samples from a pair of twin astronauts over 4 years in bulk and fractionated cell populations using a targeted CH panel, linked-read whole-genome sequencing, and deep RNA sequencing. We show CH with distinct mutational profiles and increasing allelic fraction that includes a high-risk, TET2 clone in one subject and two DNMT3A mutations on distinct alleles in the other twin. These astronauts exhibit CH almost two decades prior to the mean age at which it is typically detected and show larger shifts in clone size than age-matched controls or radiotherapy patients, based on a longitudinal cohort of 157 cancer patients. As such, longitudinal monitoring of CH may serve as an important metric for overall cancer and cardiovascular risk in astronauts. Trinchant et al. examined twin astronauts for clonal hematopoiesis (CH). Some high-risk CH clones (TET2 and DNMT3A) were observed two decades before expected, with TET2 decreasing in spaceflight and elevating later post flight. Thus, CH is an important metric for overall cancer and cardiovascular risk in astronauts.
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Luxton JJ, McKenna MJ, Taylor LE, George KA, Zwart SR, Crucian BE, Drel VR, Garrett-Bakelman FE, Mackay MJ, Butler D, Foox J, Grigorev K, Bezdan D, Meydan C, Smith SM, Sharma K, Mason CE, Bailey SM. Temporal Telomere and DNA Damage Responses in the Space Radiation Environment. Cell Rep 2020; 33:108435. [PMID: 33242411 DOI: 10.1016/j.celrep.2020.108435] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/15/2020] [Accepted: 11/04/2020] [Indexed: 02/08/2023] Open
Abstract
Telomeres, repetitive terminal features of chromosomes essential for maintaining genome integrity, shorten with cell division, lifestyle factors and stresses, and environmental exposures, and so they provide a robust biomarker of health, aging, and age-related diseases. We assessed telomere length dynamics (changes over time) in three unrelated astronauts before, during, and after 1-year or 6-month missions aboard the International Space Station (ISS). Similar to our results for National Aeronautics and Space Administration's (NASA's) One-Year Mission twin astronaut (Garrett-Bakelman et al., 2019), significantly longer telomeres were observed during spaceflight for two 6-month mission astronauts. Furthermore, telomere length shortened rapidly after return to Earth for all three crewmembers and, overall, telomere length tended to be shorter after spaceflight than before spaceflight. Consistent with chronic exposure to the space radiation environment, signatures of persistent DNA damage responses were also detected, including mitochondrial and oxidative stress, inflammation, and telomeric and chromosomal aberrations, which together provide potential mechanistic insight into spaceflight-specific telomere elongation.
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Affiliation(s)
- Jared J Luxton
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Cell and Molecular Biology Program, Colorado State University, Fort Collins, CO, USA
| | - Miles J McKenna
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Cell and Molecular Biology Program, Colorado State University, Fort Collins, CO, USA
| | - Lynn E Taylor
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | | | - Sara R Zwart
- University of Texas Medical Branch, Galveston, TX, USA
| | | | - Viktor R Drel
- Center for Renal Precision Medicine, UT Health, San Antonio, TX, USA
| | - Francine E Garrett-Bakelman
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA; Department of Medicine, University of Virginia, Charlottesville, VA, USA; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
| | - Matthew J Mackay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniela Bezdan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Kumar Sharma
- Center for Renal Precision Medicine, UT Health, San Antonio, TX, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
| | - Susan M Bailey
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Cell and Molecular Biology Program, Colorado State University, Fort Collins, CO, USA.
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Ramlall V, Thangaraj PM, Meydan C, Foox J, Butler D, Kim J, May B, De Freitas JK, Glicksberg BS, Mason CE, Tatonetti NP, Shapira SD. Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection. Nat Med 2020; 26:1609-1615. [PMID: 32747830 PMCID: PMC7809634 DOI: 10.1038/s41591-020-1021-2] [Citation(s) in RCA: 211] [Impact Index Per Article: 52.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/16/2020] [Indexed: 11/08/2022]
Abstract
Understanding the pathophysiology of SARS-CoV-2 infection is critical for therapeutic and public health strategies. Viral-host interactions can guide discovery of disease regulators, and protein structure function analysis points to several immune pathways, including complement and coagulation, as targets of coronaviruses. To determine whether conditions associated with dysregulated complement or coagulation systems impact disease, we performed a retrospective observational study and found that history of macular degeneration (a proxy for complement-activation disorders) and history of coagulation disorders (thrombocytopenia, thrombosis and hemorrhage) are risk factors for SARS-CoV-2-associated morbidity and mortality-effects that are independent of age, sex or history of smoking. Transcriptional profiling of nasopharyngeal swabs demonstrated that in addition to type-I interferon and interleukin-6-dependent inflammatory responses, infection results in robust engagement of the complement and coagulation pathways. Finally, in a candidate-driven genetic association study of severe SARS-CoV-2 disease, we identified putative complement and coagulation-associated loci including missense, eQTL and sQTL variants of critical complement and coagulation regulators. In addition to providing evidence that complement function modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers of susceptibility. The results highlight the value of using a multimodal analytical approach to reveal determinants and predictors of immunity, susceptibility and clinical outcome associated with infection.
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Affiliation(s)
- Vijendra Ramlall
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Department of Physiology & Cellular Biophysics, Columbia University, New York, NY, USA
| | - Phyllis M Thangaraj
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Cem Meydan
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jonathan Foox
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jacob Kim
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Ben May
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jessica K De Freitas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin S Glicksberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christopher E Mason
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Nicholas P Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY, USA.
- Department of Systems Biology, Columbia University, New York, NY, USA.
| | - Sagi D Shapira
- Department of Systems Biology, Columbia University, New York, NY, USA.
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Sapoval N, Mahmoud M, Jochum MD, Liu Y, Elworth RAL, Wang Q, Albin D, Ogilvie H, Lee MD, Villapol S, Hernandez KM, Berry IM, Foox J, Beheshti A, Ternus K, Aagaard KM, Posada D, Mason CE, Sedlazeck F, Treangen TJ. Hidden genomic diversity of SARS-CoV-2: implications for qRT-PCR diagnostics and transmission. bioRxiv 2020:2020.07.02.184481. [PMID: 32637955 PMCID: PMC7337385 DOI: 10.1101/2020.07.02.184481] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The COVID-19 pandemic has sparked an urgent need to uncover the underlying biology of this devastating disease. Though RNA viruses mutate more rapidly than DNA viruses, there are a relatively small number of single nucleotide polymorphisms (SNPs) that differentiate the main SARS-CoV-2 clades that have spread throughout the world. In this study, we investigated over 7,000 SARS-CoV-2 datasets to unveil both intrahost and interhost diversity. Our intrahost and interhost diversity analyses yielded three major observations. First, the mutational profile of SARS-CoV-2 highlights iSNV and SNP similarity, albeit with high variability in C>T changes. Second, iSNV and SNP patterns in SARS-CoV-2 are more similar to MERS-CoV than SARS-CoV-1. Third, a significant fraction of small indels fuel the genetic diversity of SARS-CoV-2. Altogether, our findings provide insight into SARS-CoV-2 genomic diversity, inform the design of detection tests, and highlight the potential of iSNVs for tracking the transmission of SARS-CoV-2.
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Affiliation(s)
- Nicolae Sapoval
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Michael D. Jochum
- Baylor College of Medicine and Texas Children’s Hospital, Houston, TX
| | - Yunxi Liu
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | - Qi Wang
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX
| | - Dreycey Albin
- Systems, Synthetic, and Physical Biology (SSPB) Graduate Program, Houston, TX
| | - Huw Ogilvie
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Michael D. Lee
- Exobiology Branch, NASA Ames Research Center, Mountain View, CA
- Blue Marble Space Institute of Science, Seattle, WA
| | | | - Kyle M. Hernandez
- Department of Medicine, University of Chicago, Chicago, IL
- Center for Translational Data Science, University of Chicago, Chicago, IL
| | | | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA
| | - Krista Ternus
- Signature Science, LLC, 8329 North Mopac Expressway, Austin TX 78759
| | | | - David Posada
- Biomedical Research Center (CINBIO), University of Vigo, 36310 Vigo, Spain
- Department of Biochemistry, Genetics and Immunology School of Biology, University of Vigo, Vigo, Spain
- Galicia Sur Health Research Institute, 36310 Vigo, Spain
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Fritz Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Todd J. Treangen
- Department of Computer Science, Rice University, Houston, TX, USA
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Yang L, Zhang X, MacKay M, Foox J, Hou Q, Zheng X, Zhou R, Huang M, Jing Z, Mason CE, Wu S. Identification of Radioresponsive Genes in Esophageal Cancer from Longitudinal and Single Cell Exome Sequencing. Int J Radiat Oncol Biol Phys 2020; 108:1103-1114. [PMID: 32561500 DOI: 10.1016/j.ijrobp.2020.06.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 05/02/2020] [Accepted: 06/08/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE The majority (70%) of the esophageal squamous cell carcinoma (ESCC) cases in the world occur in China, where radiation therapy is the most common treatment. Yet the majority of ESCC patients still relapse. METHODS AND MATERIALS To better understand the genetic basis of radiation therapy resistance for ESCC, we performed longitudinal, whole-exome sequencing throughout radiation therapy on 42 patient tumor samples, including single-cell whole-exome sequencing for 147 cells for 2 patients. RESULTS Significant allelic changes were observed during clinical irradiation, with 42 recurrent radioresponsive genes (sensitive and resistant) identified in multiple patients, including NOTCH1, MAML3, CDKN2A, NFE2L2, GAS2L2, OBSCN and TP53, with the last 3 genes implicated as radioresponsive in both bulk and single-cell whole-exome sequencing. Most (37/42) radioresponsive genes showed regional variegation in both radioresistant and radiosensitive mutations, with a paucity of resistant-only mutations (2.5%). A subset of sensitive mutations in 10 genes and resistant mutations in 18 genes defined a significantly improved prognosis and the shortest time for locoregional recurrence, respectively, indicating possible clinical utility. We also confirmed these significant mutational signatures in orthogonal Cancer Genome Atlas ESCC cohorts. CONCLUSIONS Overall, our results quantify the allelic shifts underlying radioresponse in bulk and single-cell ESCC exomes for the first time, provide a temporal resolution to such mutational dynamics, and offer new therapeutic target genes and loci for esophageal and potentially other cancers.
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Affiliation(s)
- Ling Yang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Xiaoyan Zhang
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York
| | - Qiang Hou
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
| | - Xiaoli Zheng
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
| | - Rongjing Zhou
- Department of Pathology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Ming Huang
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
| | - Zhao Jing
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China; Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York, New York; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, New York; The Feil Family Brain and Mind Research Institute (BMRI), New York, New York
| | - Shixiu Wu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
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Ramlall V, Thangaraj PM, Meydan C, Foox J, Butler D, May B, De Freitas JK, Glicksberg BS, Mason CE, Tatonetti NP, Shapira SD. Identification of Immune complement function as a determinant of adverse SARS-CoV-2 infection outcome. medRxiv 2020:2020.05.05.20092452. [PMID: 32511494 PMCID: PMC7273262 DOI: 10.1101/2020.05.05.20092452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Understanding the pathophysiology of SARS-CoV-2 infection is critical for therapeutics and public health intervention strategies. Viral-host interactions can guide discovery of regulators of disease outcomes, and protein structure function analysis points to several immune pathways, including complement and coagulation, as targets of the coronavirus proteome. To determine if conditions associated with dysregulation of the complement or coagulation systems impact adverse clinical outcomes, we performed a retrospective observational study of 11,116 patients who presented with suspected SARS-CoV-2 infection. We found that history of macular degeneration (a proxy for complement activation disorders) and history of coagulation disorders (thrombocytopenia, thrombosis, and hemorrhage) are risk factors for morbidity and mortality in SARS-CoV-2 infected patients - effects that could not be explained by age, sex, or history of smoking. Further, transcriptional profiling of nasopharyngeal (NP) swabs from 650 control and SARS-CoV-2 infected patients demonstrated that in addition to innate Type-I interferon and IL-6 dependent inflammatory immune responses, infection results in robust engagement and activation of the complement and coagulation pathways. Finally, we conducted a candidate driven genetic association study of severe SARS-CoV-2 disease. Among the findings, our scan identified putative complement and coagulation associated loci including missense, eQTL and sQTL variants of critical regulators of the complement and coagulation cascades. In addition to providing evidence that complement function modulates SARS-CoV-2 infection outcome, the data point to putative transcriptional genetic markers of susceptibility. The results highlight the value of using a multi-modal analytical approach, combining molecular information from virus protein structure-function analysis with clinical informatics, transcriptomics, and genomics to reveal determinants and predictors of immunity, susceptibility, and clinical outcome associated with infection.
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Affiliation(s)
- Vijendra Ramlall
- Department of Biomedical Informatics, Columbia University, New York, NY, USA. USA
- Department of Physiology & Cellular Biophysics, Columbia University, New York, NY, USA
| | - Phyllis M. Thangaraj
- Department of Biomedical Informatics, Columbia University, New York, NY, USA. USA
- Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Cem Meydan
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Ben May
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Jessica K. De Freitas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, 10065
| | - Benjamin S. Glicksberg
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, 10065
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Nicholas P. Tatonetti
- Department of Biomedical Informatics, Columbia University, New York, NY, USA. USA
- Department of Systems Biology, Columbia University, New York, NY, USA. USA
| | - Sagi D. Shapira
- Department of Systems Biology, Columbia University, New York, NY, USA. USA
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Anava S, Neuhof M, Gingold H, Sagy O, Munters A, Svensson EM, Afshinnekoo E, Danko D, Foox J, Shor P, Riestra B, Huchon D, Mason CE, Mizrahi N, Jakobsson M, Rechavi O. Illuminating Genetic Mysteries of the Dead Sea Scrolls. Cell 2020; 181:1218-1231.e27. [PMID: 32492404 DOI: 10.1016/j.cell.2020.04.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 04/01/2020] [Accepted: 04/23/2020] [Indexed: 11/16/2022]
Abstract
The discovery of the 2,000-year-old Dead Sea Scrolls had an incomparable impact on the historical understanding of Judaism and Christianity. "Piecing together" scroll fragments is like solving jigsaw puzzles with an unknown number of missing parts. We used the fact that most scrolls are made from animal skins to "fingerprint" pieces based on DNA sequences. Genetic sorting of the scrolls illuminates their textual relationship and historical significance. Disambiguating the contested relationship between Jeremiah fragments supplies evidence that some scrolls were brought to the Qumran caves from elsewhere; significantly, they demonstrate that divergent versions of Jeremiah circulated in parallel throughout Israel (ancient Judea). Similarly, patterns discovered in non-biblical scrolls, particularly the Songs of the Sabbath Sacrifice, suggest that the Qumran scrolls represent the broader cultural milieu of the period. Finally, genetic analysis divorces debated fragments from the Qumran scrolls. Our study demonstrates that interdisciplinary approaches enrich the scholar's toolkit.
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Affiliation(s)
- Sarit Anava
- Department of Neurobiology, George Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Moran Neuhof
- Department of Neurobiology, George Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Hila Gingold
- Department of Neurobiology, George Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Or Sagy
- Department of Neurobiology, George Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Arielle Munters
- Human Evolution, Department of Organismal Biology and SciLife Lab, Uppsala University, 751 05 Uppsala, Sweden
| | - Emma M Svensson
- Human Evolution, Department of Organismal Biology and SciLife Lab, Uppsala University, 751 05 Uppsala, Sweden
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; The WorldQuant Initiative for Quantitate Prediction, New York, NY 10065, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; The WorldQuant Initiative for Quantitate Prediction, New York, NY 10065, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; The WorldQuant Initiative for Quantitate Prediction, New York, NY 10065, USA
| | - Pnina Shor
- Dead Sea Scroll Projects, Israel Antiquities Authority, Jerusalem 91710, Israel
| | - Beatriz Riestra
- Dead Sea Scroll Projects, Israel Antiquities Authority, Jerusalem 91710, Israel
| | - Dorothée Huchon
- Steinhardt Museum of Natural History and Israel National Center for Biodiversity Studies, Tel-Aviv University, Tel-Aviv 6997801, Israel; Department of Zoology, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA; The WorldQuant Initiative for Quantitate Prediction, New York, NY 10065, USA
| | - Noam Mizrahi
- Department of Biblical Studies, The Lester and Sally Entin Faculty of Humanities, Tel Aviv University, Tel-Aviv 6997801, Israel.
| | - Mattias Jakobsson
- Human Evolution, Department of Organismal Biology and SciLife Lab, Uppsala University, 751 05 Uppsala, Sweden.
| | - Oded Rechavi
- Department of Neurobiology, George Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.
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