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Romero R, Chu T, González-Robles TJ, Smith P, Xie Y, Kaur H, Yoder S, Zhao H, Mao C, Kang W, Pulina MV, Lawrence KE, Gopalan A, Zaidi S, Yoo K, Choi J, Fan N, Gerstner O, Karthaus WR, DeStanchina E, Ruggles KV, Westcott PM, Chaligné R, Pe’er D, Sawyers CL. The neuroendocrine transition in prostate cancer is dynamic and dependent on ASCL1. bioRxiv 2024:2024.04.09.588557. [PMID: 38645223 PMCID: PMC11030418 DOI: 10.1101/2024.04.09.588557] [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: 04/23/2024]
Abstract
Lineage plasticity is a recognized hallmark of cancer progression that can shape therapy outcomes. The underlying cellular and molecular mechanisms mediating lineage plasticity remain poorly understood. Here, we describe a versatile in vivo platform to identify and interrogate the molecular determinants of neuroendocrine lineage transformation at different stages of prostate cancer progression. Adenocarcinomas reliably develop following orthotopic transplantation of primary mouse prostate organoids acutely engineered with human-relevant driver alterations (e.g., Rb1-/-; Trp53-/-; cMyc+ or Pten-/-; Trp53-/-; cMyc+), but only those with Rb1 deletion progress to ASCL1+ neuroendocrine prostate cancer (NEPC), a highly aggressive, androgen receptor signaling inhibitor (ARSI)-resistant tumor. Importantly, we show this lineage transition requires a native in vivo microenvironment not replicated by conventional organoid culture. By integrating multiplexed immunofluorescence, spatial transcriptomics and PrismSpot to identify cell type-specific spatial gene modules, we reveal that ASCL1+ cells arise from KRT8+ luminal epithelial cells that progressively acquire transcriptional heterogeneity, producing large ASCL1+;KRT8- NEPC clusters. Ascl1 loss in established NEPC results in transient tumor regression followed by recurrence; however, Ascl1 deletion prior to transplantation completely abrogates lineage plasticity, yielding adenocarcinomas with elevated AR expression and marked sensitivity to castration. The dynamic feature of this model reveals the importance of timing of therapies focused on lineage plasticity and offers a platform for identification of additional lineage plasticity drivers.
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Affiliation(s)
- Rodrigo Romero
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tinyi Chu
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Tania J. González-Robles
- Institute of Systems Genetics, Department of Precision Medicine, NYU Grossman School of Medicine, New York, NY 10061, USA
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10061, USA
| | - Perianne Smith
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Yubin Xie
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Harmanpreet Kaur
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Sara Yoder
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Huiyong Zhao
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chenyi Mao
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wenfei Kang
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Maria V. Pulina
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kayla E. Lawrence
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anuradha Gopalan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Samir Zaidi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kwangmin Yoo
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Ning Fan
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Olivia Gerstner
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wouter R. Karthaus
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elisa DeStanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kelly V. Ruggles
- Institute of Systems Genetics, Department of Precision Medicine, NYU Grossman School of Medicine, New York, NY 10061, USA
| | | | - Ronan Chaligné
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Dana Pe’er
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Charles L. Sawyers
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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2
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Calderon A, Mestvirishvili T, Boccalatte F, Ruggles KV, David G. Chromatin accessibility and cell cycle progression are controlled by the HDAC-associated Sin3B protein in murine hematopoietic stem cells. Epigenetics Chromatin 2024; 17:2. [PMID: 38254205 PMCID: PMC10804615 DOI: 10.1186/s13072-024-00526-w] [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] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Blood homeostasis requires the daily production of millions of terminally differentiated effector cells that all originate from hematopoietic stem cells (HSCs). HSCs are rare and exhibit unique self-renewal and multipotent properties, which depend on their ability to maintain quiescence through ill-defined processes. Defective control of cell cycle progression can eventually lead to bone marrow failure or malignancy. In particular, the molecular mechanisms tying cell cycle re-entry to cell fate commitment in HSCs remain elusive. Previous studies have identified chromatin coordination as a key regulator of differentiation in embryonic stem cells. RESULTS Here, we utilized genetic inactivation of the chromatin-associated Sin3B protein to manipulate cell cycle control and found dysregulated chromatin accessibility and cell cycle progression in HSCs. Single cell transcriptional profiling of hematopoietic stem and progenitor cells (HSPCs) inactivated for Sin3B reveals aberrant progression through the G1 phase of the cell cycle, which correlates with the engagement of specific signaling pathways, including aberrant expression of cell adhesion molecules and the interferon signaling program in LT-HSCs. In addition, we uncover the Sin3B-dependent accessibility of genomic elements controlling HSC differentiation, which points to cell cycle progression possibly dictating the priming of HSCs for differentiation. CONCLUSIONS Our findings provide new insights into controlled cell cycle progression as a potential regulator of HSC lineage commitment through the modulation of chromatin features.
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Affiliation(s)
- Alexander Calderon
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA
- Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA
| | - Tamara Mestvirishvili
- Department of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA
| | - Francesco Boccalatte
- Department of Pathology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA
| | - Kelly V Ruggles
- Department of Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA
| | - Gregory David
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA.
- Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA.
- Department of Urology, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, 10016, USA.
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Ivanova EN, Shwetar J, Devlin JC, Buus TB, Gray-Gaillard S, Koide A, Cornelius A, Samanovic MI, Herrera A, Mimitou EP, Zhang C, Karmacharya T, Desvignes L, Ødum N, Smibert P, Ulrich RJ, Mulligan MJ, Koide S, Ruggles KV, Herati RS, Koralov SB. mRNA COVID-19 vaccine elicits potent adaptive immune response without the acute inflammation of SARS-CoV-2 infection. iScience 2023; 26:108572. [PMID: 38213787 PMCID: PMC10783604 DOI: 10.1016/j.isci.2023.108572] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 09/21/2023] [Accepted: 11/21/2023] [Indexed: 01/13/2024] Open
Abstract
SARS-CoV-2 infection and vaccination elicit potent immune responses. Our study presents a comprehensive multimodal single-cell analysis of blood from COVID-19 patients and healthy volunteers receiving the SARS-CoV-2 vaccine and booster. We profiled immune responses via transcriptional analysis and lymphocyte repertoire reconstruction. COVID-19 patients displayed an enhanced interferon signature and cytotoxic gene upregulation, absent in vaccine recipients. B and T cell repertoire analysis revealed clonal expansion among effector cells in COVID-19 patients and memory cells in vaccine recipients. Furthermore, while clonal αβ T cell responses were observed in both COVID-19 patients and vaccine recipients, expansion of clonal γδ T cells was found only in infected individuals. Our dataset enables side-by-side comparison of immune responses to infection versus vaccination, including clonal B and T cell responses. Our comparative analysis shows that vaccination induces a robust, durable clonal B and T cell responses, without the severe inflammation associated with infection.
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Affiliation(s)
- Ellie N. Ivanova
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Jasmine Shwetar
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Joseph C. Devlin
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Terkild B. Buus
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Sophie Gray-Gaillard
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
| | - Akiko Koide
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
- Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
| | - Amber Cornelius
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
| | - Marie I. Samanovic
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Alberto Herrera
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | | | - Chenzhen Zhang
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Trishala Karmacharya
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
| | - Ludovic Desvignes
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
- High Containment Laboratories, Office of Science and Research, New York University Langone Health, New York, NY 10016, USA
| | - Niels Ødum
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Robert J. Ulrich
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Mark J. Mulligan
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
| | - Shohei Koide
- Perlmutter Cancer Center, New York University Langone Health, New York, NY 10016, USA
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V. Ruggles
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Ramin S. Herati
- New York University Langone Vaccine Center, New York University Langone Health, New York, NY 10016, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
- Department of Microbiology, New York University Grossman School of Medicine, 430 East 29th Street, New York, NY 10016, USA
| | - Sergei B. Koralov
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
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4
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Newman JD, Anthopolos R, Ruggles KV, Cornwell M, Reynolds HR, Bangalore S, Mavromatis K, Held C, Wallentin L, Kullo IJ, McManus B, Newby LKK, Rosenberg Y, Hochman JS, Maron DJ, Berger JS. Biomarkers and cardiovascular events in patients with stable coronary disease in the ISCHEMIA Trials. Am Heart J 2023; 266:61-73. [PMID: 37604357 PMCID: PMC10843480 DOI: 10.1016/j.ahj.2023.08.007] [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: 08/16/2023] [Accepted: 08/16/2023] [Indexed: 08/23/2023]
Abstract
IMPORTANCE Biomarkers may improve prediction of cardiovascular events for patients with stable coronary artery disease (CAD), but their importance in addition to clinical tests of inducible ischemia and CAD severity is unknown. OBJECTIVES To evaluate the prognostic value of multiple biomarkers in stable outpatients with obstructive CAD and moderate or severe inducible ischemia. DESIGN AND SETTING The ISCHEMIA and ISCHEMIA CKD trials randomized 5,956 participants with CAD to invasive or conservative management from July 2012 to January 2018; 1,064 participated in the biorepository. MAIN OUTCOME MEASURES Primary outcome was cardiovascular death, myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest. Secondary outcome was cardiovascular death or MI. Improvements in prediction were assessed by cause-specific hazard ratios (HR) and area under the receiver operating characteristics curve (AUC) for an interquartile increase in each biomarker, controlling for other biomarkers, in a base clinical model of risk factors, left ventricular ejection fraction (LVEF) and ischemia severity. Secondary analyses were performed among patients in whom core-lab confirmed severity of CAD was ascertained by computed cardiac tomographic angiography (CCTA). EXPOSURES Baseline levels of interleukin-6 (IL-6), high sensitivity troponin T (hsTnT), growth differentiation factor 15 (GDF-15), N-terminal pro-B-type natriuretic peptide (NT-proBNP), lipoprotein a (Lp[a]), high sensitivity C-reactive protein (hsCRP), Cystatin C, soluble CD 40 ligand (sCD40L), myeloperoxidase (MPO), and matrix metalloproteinase 3 (MMP3). RESULTS Among 757 biorepository participants, median (IQR) follow-up was 3 (2-5) years, age was 67 (61-72) years, and 144 (19%) were female; 508 had severity of CAD by CCTA available. In an adjusted multimarker model with hsTnT, GDF-15, NT-proBNP and sCD40L, the adjusted HR for the primary outcome per interquartile increase in each biomarker was 1.58 (95% CI 1.22, 2.205), 1.60 (95% CI 1.16, 2.20), 1.61 (95% 1.22, 2.14), and 1.46 (95% 1.12, 1.90), respectively. The adjusted multimarker model also improved prediction compared with the clinical model, increasing the AUC from 0.710 to 0.792 (P < .01) and 0.714 to 0.783 (P < .01) for the primary and secondary outcomes, respectively. Similar findings were observed after adjusting for core-lab confirmed atherosclerosis severity. CONCLUSIONS AND RELEVANCE Among ISCHEMIA biorepository participants, biomarkers of myocyte injury/distension, inflammation, and platelet activity improved cardiovascular event prediction in addition to risk factors, LVEF, and assessments of ischemia and atherosclerosis severity. These biomarkers may improve risk stratification for patients with stable CAD.
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Affiliation(s)
- Jonathan D Newman
- Department of Medicine, NYU Grossman School of Medicine, New York, NY.
| | - Rebecca Anthopolos
- Division of Biostatistics, Department of Population Health, NYU Langone Health, New York, NY
| | - Kelly V Ruggles
- Department of Medicine, NYU Grossman School of Medicine, New York, NY
| | | | | | - Sripal Bangalore
- Department of Medicine, NYU Grossman School of Medicine, New York, NY
| | - Kreton Mavromatis
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| | - Claes Held
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
| | - Lars Wallentin
- Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden
| | - Iftikar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Bruce McManus
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - L Kristin K Newby
- Division of Cardiology, Department of Medicine, Duke Clinical Research Institute, Durham, NC
| | - Yves Rosenberg
- Division of Cardiovascular Sciences, National Health Lung and Blood Institute, National Institute of Health, Bethesda, MD
| | - Judith S Hochman
- Department of Medicine, NYU Grossman School of Medicine, New York, NY
| | - David J Maron
- Department of Medicine, Stanford University, Stanford, CA
| | - Jeffrey S Berger
- Department of Medicine, NYU Grossman School of Medicine, New York, NY
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5
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Wang JM, Hong R, Demicco EG, Tan J, Lazcano R, Moreira AL, Li Y, Calinawan A, Razavian N, Schraink T, Gillette MA, Omenn GS, An E, Rodriguez H, Tsirigos A, Ruggles KV, Ding L, Robles AI, Mani DR, Rodland KD, Lazar AJ, Liu W, Fenyö D. Deep learning integrates histopathology and proteogenomics at a pan-cancer level. Cell Rep Med 2023; 4:101173. [PMID: 37582371 PMCID: PMC10518635 DOI: 10.1016/j.xcrm.2023.101173] [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] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 07/31/2023] [Accepted: 08/04/2023] [Indexed: 08/17/2023]
Abstract
We introduce a pioneering approach that integrates pathology imaging with transcriptomics and proteomics to identify predictive histology features associated with critical clinical outcomes in cancer. We utilize 2,755 H&E-stained histopathological slides from 657 patients across 6 cancer types from CPTAC. Our models effectively recapitulate distinctions readily made by human pathologists: tumor vs. normal (AUROC = 0.995) and tissue-of-origin (AUROC = 0.979). We further investigate predictive power on tasks not normally performed from H&E alone, including TP53 prediction and pathologic stage. Importantly, we describe predictive morphologies not previously utilized in a clinical setting. The incorporation of transcriptomics and proteomics identifies pathway-level signatures and cellular processes driving predictive histology features. Model generalizability and interpretability is confirmed using TCGA. We propose a classification system for these tasks, and suggest potential clinical applications for this integrated human and machine learning approach. A publicly available web-based platform implements these models.
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Affiliation(s)
- Joshua M Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Elizabeth G Demicco
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto M5G 1X5, ON, Canada
| | - Jimin Tan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Rossana Lazcano
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Andre L Moreira
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Anna Calinawan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Narges Razavian
- Department of Population Health, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Radiology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Tobias Schraink
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Michael A Gillette
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Massachusetts General Hospital Division of Pulmonary and Critical Care Medicine, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Aristotelis Tsirigos
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA
| | - Alexander J Lazar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
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6
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Dou Y, Katsnelson L, Gritsenko MA, Hu Y, Reva B, Hong R, Wang YT, Kolodziejczak I, Lu RJH, Tsai CF, Bu W, Liu W, Guo X, An E, Arend RC, Bavarva J, Chen L, Chu RK, Czekański A, Davoli T, Demicco EG, DeLair D, Devereaux K, Dhanasekaran SM, Dottino P, Dover B, Fillmore TL, Foxall M, Hermann CE, Hiltke T, Hostetter G, Jędryka M, Jewell SD, Johnson I, Kahn AG, Ku AT, Kumar-Sinha C, Kurzawa P, Lazar AJ, Lazcano R, Lei JT, Li Y, Liao Y, Lih TSM, Lin TT, Martignetti JA, Masand RP, Matkowski R, McKerrow W, Mesri M, Monroe ME, Moon J, Moore RJ, Nestor MD, Newton C, Omelchenko T, Omenn GS, Payne SH, Petyuk VA, Robles AI, Rodriguez H, Ruggles KV, Rykunov D, Savage SR, Schepmoes AA, Shi T, Shi Z, Tan J, Taylor M, Thiagarajan M, Wang JM, Weitz KK, Wen B, Williams CM, Wu Y, Wyczalkowski MA, Yi X, Zhang X, Zhao R, Mutch D, Chinnaiyan AM, Smith RD, Nesvizhskii AI, Wang P, Wiznerowicz M, Ding L, Mani DR, Zhang H, Anderson ML, Rodland KD, Zhang B, Liu T, Fenyö D. Proteogenomic insights suggest druggable pathways in endometrial carcinoma. Cancer Cell 2023; 41:1586-1605.e15. [PMID: 37567170 PMCID: PMC10631452 DOI: 10.1016/j.ccell.2023.07.007] [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: 07/14/2022] [Revised: 03/25/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023]
Abstract
We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity. PIK3R1 in-frame indels are associated with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors. CTNNB1 hotspot mutations are concentrated near phosphorylation sites mediating pS45-induced degradation of β-catenin, which may render Wnt-FZD antagonists ineffective. Deep learning accurately predicts EC subtypes and mutations from histopathology images, which may be useful for rapid diagnosis. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for more precise treatment of EC.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lizabeth Katsnelson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Yingwei Hu
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Iga Kolodziejczak
- International Institute for Molecular Oncology, 20-203 Poznań, Poland; Postgraduate School of Molecular Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Rita Jui-Hsien Lu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Wen Bu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Xiaofang Guo
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA
| | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rebecca C Arend
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Jasmin Bavarva
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Lijun Chen
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Andrzej Czekański
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Teresa Davoli
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Elizabeth G Demicco
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1X5, Canada
| | - Deborah DeLair
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly Devereaux
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Saravana M Dhanasekaran
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter Dottino
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bailee Dover
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Thomas L Fillmore
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - McKenzie Foxall
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Catherine E Hermann
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | | | - Marcin Jędryka
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Isabelle Johnson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Andrea G Kahn
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Amy T Ku
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chandan Kumar-Sinha
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Paweł Kurzawa
- Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Alexander J Lazar
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rossana Lazcano
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yi Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tung-Shing M Lih
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Tai-Tu Lin
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - John A Martignetti
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ramya P Masand
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Rafał Matkowski
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Wilson McKerrow
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Michael D Nestor
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chelsea Newton
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | | | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA; School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Athena A Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jimin Tan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mason Taylor
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Joshua M Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - C M Williams
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yige Wu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xu Zhang
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rui Zhao
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - David Mutch
- Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Hui Zhang
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Matthew L Anderson
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA.
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
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7
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Loredan DG, Devlin JC, Lacey KA, Howard N, Chen Z, Zwack EE, Lin JD, Ruggles KV, Khanna KM, Torres VJ, Loke P. Single-Cell Analysis of CX3CR1+ Cells Reveals a Pathogenic Role for BIRC5+ Myeloid Proliferating Cells Driven by Staphylococcus aureus Leukotoxins. J Immunol 2023; 211:836-843. [PMID: 37466391 PMCID: PMC10450158 DOI: 10.4049/jimmunol.2300166] [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] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 06/30/2023] [Indexed: 07/20/2023]
Abstract
Our previous studies identified a population of stem cell-like proliferating myeloid cells within inflamed tissues that could serve as a reservoir for tissue macrophages to adopt different activation states depending on the microenvironment. By lineage-tracing cells derived from CX3CR1+ precursors in mice during infection and profiling by single-cell RNA sequencing, in this study, we identify a cluster of BIRC5+ myeloid cells that expanded in the liver during chronic infection with either the parasite Schistosoma mansoni or the bacterial pathogen Staphylococcus aureus. In the absence of tissue-damaging toxins, S. aureus infection does not elicit these BIRC5+ cells. Moreover, deletion of BIRC5 from CX3CR1-expressing cells results in improved survival during S. aureus infection. Hence the combination of single-cell RNA sequencing and genetic fate-mapping CX3CR1+ cells revealed a toxin-dependent pathogenic role for BIRC5 in myeloid cells during S. aureus infection.
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Affiliation(s)
- Denis G. Loredan
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY
| | - Joseph C. Devlin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
| | - Keenan A. Lacey
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
| | - Nina Howard
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Ze Chen
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
| | - Erin E. Zwack
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
| | - Jian-Da Lin
- Department of Biochemical Science and Technology, College of Life Science, National Taiwan University, Taipei City, Taiwan
- Center for Computational and Systems Biology, National Taiwan University, Taipei City, Taiwan
| | - Kelly V. Ruggles
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY
| | - Kamal M. Khanna
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
- Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY
| | - Victor J. Torres
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
- Antimicrobial-Resistant Pathogens Program, New York University Grossman School of Medicine, New York, NY
| | - P’ng Loke
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
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8
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Ivanova EN, Shwetar J, Devlin JC, Buus TB, Gray-Gaillard S, Koide A, Cornelius A, Samanovic MI, Herrera A, Mimitou EP, Zhang C, Karmacharya T, Desvignes L, Ødum N, Smibert P, Ulrich RJ, Mulligan MJ, Koide S, Ruggles KV, Herati RS, Koralov SB. mRNA COVID-19 vaccine elicits potent adaptive immune response without the persistent inflammation seen in SARS-CoV-2 infection. medRxiv 2023:2021.04.20.21255677. [PMID: 33907755 PMCID: PMC8077568 DOI: 10.1101/2021.04.20.21255677] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
SARS-CoV-2 infection and vaccination elicit potent immune responses. Our study presents a comprehensive multimodal single-cell dataset of peripheral blood of patients with acute COVID-19 and of healthy volunteers before and after receiving the SARS-CoV-2 mRNA vaccine and booster. We compared host immune responses to the virus and vaccine using transcriptional profiling, coupled with B/T cell receptor repertoire reconstruction. COVID-19 patients displayed an enhanced interferon signature and cytotoxic gene upregulation, absent in vaccine recipients. These findings were validated in an independent dataset. Analysis of B and T cell repertoires revealed that, while the majority of clonal lymphocytes in COVID-19 patients were effector cells, clonal expansion was more evident among circulating memory cells in vaccine recipients. Furthermore, while clonal αβ T cell responses were observed in both COVID-19 patients and vaccine recipients, dramatic expansion of clonal γδT cells was found only in infected individuals. Our dataset enables comparative analyses of immune responses to infection versus vaccination, including clonal B and T cell responses. Integrating our data with publicly available datasets allowed us to validate our findings in larger cohorts. To our knowledge, this is the first dataset to include comprehensive profiling of longitudinal samples from healthy volunteers pre/post SARS-CoV-2 vaccine and booster.
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9
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Li Y, Dou Y, Da Veiga Leprevost F, Geffen Y, Calinawan AP, Aguet F, Akiyama Y, Anand S, Birger C, Cao S, Chaudhary R, Chilappagari P, Cieslik M, Colaprico A, Zhou DC, Day C, Domagalski MJ, Esai Selvan M, Fenyö D, Foltz SM, Francis A, Gonzalez-Robles T, Gümüş ZH, Heiman D, Holck M, Hong R, Hu Y, Jaehnig EJ, Ji J, Jiang W, Katsnelson L, Ketchum KA, Klein RJ, Lei JT, Liang WW, Liao Y, Lindgren CM, Ma W, Ma L, MacCoss MJ, Martins Rodrigues F, McKerrow W, Nguyen N, Oldroyd R, Pilozzi A, Pugliese P, Reva B, Rudnick P, Ruggles KV, Rykunov D, Savage SR, Schnaubelt M, Schraink T, Shi Z, Singhal D, Song X, Storrs E, Terekhanova NV, Thangudu RR, Thiagarajan M, Wang LB, Wang JM, Wang Y, Wen B, Wu Y, Wyczalkowski MA, Xin Y, Yao L, Yi X, Zhang H, Zhang Q, Zuhl M, Getz G, Ding L, Nesvizhskii AI, Wang P, Robles AI, Zhang B, Payne SH. Proteogenomic data and resources for pan-cancer analysis. Cancer Cell 2023; 41:1397-1406. [PMID: 37582339 PMCID: PMC10506762 DOI: 10.1016/j.ccell.2023.06.009] [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: 07/08/2022] [Revised: 11/15/2022] [Accepted: 06/27/2023] [Indexed: 08/17/2023]
Abstract
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry proteomics data.
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Affiliation(s)
- Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Yifat Geffen
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Anna P Calinawan
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Yo Akiyama
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Shankara Anand
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Chet Birger
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | | | - Marcin Cieslik
- Department of Computational Medicine & Bioinformatics, Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Antonio Colaprico
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Daniel Cui Zhou
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Corbin Day
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | | | - Myvizhi Esai Selvan
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Steven M Foltz
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | - Tania Gonzalez-Robles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Zeynep H Gümüş
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - David Heiman
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | | | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jiayi Ji
- Tisch Cancer Institute and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Wen Jiang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lizabeth Katsnelson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | | | - Robert J Klein
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Caleb M Lindgren
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Weiping Ma
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lei Ma
- ICF, Rockville, MD 20850, USA
| | - Michael J MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Fernanda Martins Rodrigues
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wilson McKerrow
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | | | - Robert Oldroyd
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | | | - Pietro Pugliese
- Department of Sciences and Technologies, University of Sannio, Benevento 82100, Italy
| | - Boris Reva
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paul Rudnick
- Spectragen Informatics, Bainbridge Island, WA 98110, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Dmitry Rykunov
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michael Schnaubelt
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Tobias Schraink
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Xiaoyu Song
- Tisch Cancer Institute and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Erik Storrs
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Nadezhda V Terekhanova
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | | | - Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Joshua M Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Ying Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yige Wu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yi Xin
- ICF, Rockville, MD 20850, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Qing Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA
| | | | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA 02141, USA; Cancer Center and Department of Pathology, Mass. General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | - Pei Wang
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA.
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Schraink T, Blumenberg L, Hussey G, George S, Miller B, Mathew N, González-Robles TJ, Sviderskiy V, Papagiannakopoulos T, Possemato R, Fenyö D, Ruggles KV. PhosphoDisco: A Toolkit for Co-regulated Phosphorylation Module Discovery in Phosphoproteomic Data. Mol Cell Proteomics 2023; 22:100596. [PMID: 37394063 PMCID: PMC10416063 DOI: 10.1016/j.mcpro.2023.100596] [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] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 04/20/2023] [Accepted: 06/12/2023] [Indexed: 07/04/2023] Open
Abstract
Kinases are key players in cancer-relevant pathways and are the targets of many successful precision cancer therapies. Phosphoproteomics is a powerful approach to study kinase activity and has been used increasingly for the characterization of tumor samples leading to the identification of novel chemotherapeutic targets and biomarkers. Finding co-regulated phosphorylation sites which represent potential kinase-substrate sets or members of the same signaling pathway allows us to harness these data to identify clinically relevant and targetable alterations in signaling cascades. Unfortunately, studies have found that databases of co-regulated phosphorylation sites are only experimentally supported in a small number of substrate sets. To address the inherent challenge of defining co-regulated phosphorylation modules relevant to a given dataset, we developed PhosphoDisco, a toolkit for determining co-regulated phosphorylation modules. We applied this approach to tandem mass spectrometry based phosphoproteomic data for breast and non-small cell lung cancer and identified canonical as well as putative new phosphorylation site modules. Our analysis identified several interesting modules in each cohort. Among these was a new cell cycle checkpoint module enriched in basal breast cancer samples and a module of PRKC isozymes putatively co-regulated by CDK12 in lung cancer. We demonstrate that modules defined by PhosphoDisco can be used to further personalized cancer treatment strategies by establishing active signaling pathways in a given patient tumor or set of tumors, and in providing new ways to classify tumors based on signaling activity.
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Affiliation(s)
- Tobias Schraink
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA
| | - Lili Blumenberg
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA
| | - Grant Hussey
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA
| | - Sabrina George
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA
| | - Brecca Miller
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA
| | - Nithu Mathew
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA
| | - Tania J González-Robles
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA
| | - Vladislav Sviderskiy
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
| | | | - Richard Possemato
- Department of Pathology, New York University Grossman School of Medicine, New York, New York, USA
| | - David Fenyö
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA; Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York, USA
| | - Kelly V Ruggles
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA; Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York, USA.
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11
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Cornwell MG, Bannoudi HE, Luttrell-Williams E, Engel A, Barrett TJ, Myndzar K, Izmirly P, Belmont HM, Clancy R, Ruggles KV, Buyon JP, Berger JS. Modeling of clinical phenotypes in systemic lupus erythematosus based on the platelet transcriptome and FCGR2a genotype. J Transl Med 2023; 21:247. [PMID: 37029410 PMCID: PMC10082503 DOI: 10.1186/s12967-023-04059-w] [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] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 03/12/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND The clinical heterogeneity of SLE with its complex pathogenesis remains challenging as we strive to provide optimal management. The contribution of platelets to endovascular homeostasis, inflammation and immune regulation highlights their potential importance in SLE. Prior work from our group showed that the Fcγ receptor type IIa (FcγRIIa)-R/H131 biallelic polymorphism is associated with increased platelet activity and cardiovascular risk in SLE. The study was initiated to investigate the platelet transcriptome in patients with SLE and evaluate its association across FcγRIIa genotypes and distinct clinical features. METHODS Fifty-one patients fulfilling established criteria for SLE (mean age = 41.1 ± 12.3, 100% female, 45% Hispanic, 24% black, 22% Asian, 51% white, mean SLEDAI = 4.4 ± 4.2 at baseline) were enrolled and compared with 18 demographically matched control samples. The FCGR2a receptor was genotyped for each sample, and RNA-seq was performed on isolated, leukocyte-depleted platelets. Transcriptomic data were used to create a modular landscape to explore the differences between SLE patients and controls and various clinical parameters in the context of FCGR2a genotypes. RESULTS There were 2290 differentially expressed genes enriched for pathways involved in interferon signaling, immune activation, and coagulation when comparing SLE samples vs controls. When analyzing patients with proteinuria, modules associated with oxidative phosphorylation and platelet activity were unexpectedly decreased. Furthermore, genes that were increased in SLE and in patients with proteinuria were enriched for immune effector processes, while genes increased in SLE but decreased in proteinuria were enriched for coagulation and cell adhesion. A low-binding FCG2Ra allele (R131) was associated with decreases in FCR activation, which further correlated with increases in platelet and immune activation pathways. Finally, we were able to create a transcriptomic signature of clinically active disease that performed significantly well in discerning SLE patients with active clinical disease form those with inactive clinical disease. CONCLUSIONS In aggregate, these data demonstrate the platelet transcriptome provides insight into lupus pathogenesis and disease activity, and shows potential use as means of assessing this complex disease using a liquid biopsy.
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Affiliation(s)
- MacIntosh G Cornwell
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA
| | - Hanane El Bannoudi
- Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Elliot Luttrell-Williams
- Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Alexis Engel
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA
| | - Tessa J Barrett
- Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
- Center for the Prevention of Cardiovascular Disease, New York University Grossman School of Medicine, 530 First Avenue, Skirball 9R, New York, NY, 10016, USA
| | - Khrystyna Myndzar
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA
| | - Peter Izmirly
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA
| | - H Michael Belmont
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA
| | - Robert Clancy
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA
| | - Kelly V Ruggles
- Division of Precision Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA.
| | - Jill P Buyon
- Division of Rheumatology, Department of Medicine, New York University Grossman School of Medicine, NYU Grossman School of Medicine, Medical Science Building 593, 530 First Avenue, New York, NY, 10016, USA.
| | - Jeffrey S Berger
- Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
- Center for the Prevention of Cardiovascular Disease, New York University Grossman School of Medicine, 530 First Avenue, Skirball 9R, New York, NY, 10016, USA.
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12
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Garshick MS, Barrett TJ, Cornwell MG, Drenkova K, Garelik J, Weber BN, Schlamp F, Rockman C, Ruggles KV, Reynolds HR, Berger JS. An inflammatory transcriptomic signature in psoriasis associates with future cardiovascular events. J Eur Acad Dermatol Venereol 2023. [PMID: 36924033 DOI: 10.1111/jdv.19049] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/07/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Psoriasis is an inflammatory skin disease associated with increased cardiovascular (CV) risk, whose pathogenesis is not fully known. OBJECTIVE We identified a transcriptomic signature in psoriasis and investigated its association with prevalent and future risk of a CV event to understand the connection between psoriasis and CV disease (CVD). METHODS Psoriasis patients (n = 37) with a history of moderate-severe skin disease without CVD and 11 matched controls underwent whole blood RNA sequencing. This transcriptomic signature in psoriasis versus controls was evaluated in two CVD cohorts: Women referred for cardiac catheterization with (n = 76) versus without (n = 97) myocardial infarction (MI), and patients with peripheral artery disease (n = 106) followed over 2.5 years for major adverse CV or limb events (MACLE). The association between genes differentially expressed in psoriasis and prevalent and incident CV events was assed. RESULTS In psoriasis, median age was 44 (IQR; 34-51) years, 49% male and ACC/AHA ASCVD Risk Score of 1.0% (0.6-3.4) with no significant difference versus controls. The median psoriasis area and severity index score (PASI) was 4.0 (IQR 2.9-8.2) with 36% on biologic therapy. Overall, 247 whole blood genes were upregulated and 228 downregulated in psoriasis versus controls (p < 0.05), and 1302 genes positively and 1244 genes negatively correlated with PASI (p < 0.05). Seventy-three genes overlapped between psoriasis prevalence and PASI with key regulators identified as IL-6, IL-1β and interferon gamma. In the CVD cohorts, 50 of 73 genes (68%) identified in psoriasis associated with prevalent MI, and 29 (40%) with incident MACLE. Key regulator transcripts identified in psoriasis and CVD cohorts included SOCS3, BCL3, OSM, PIM2, PIM3 and STAT5A. CONCLUSIONS A whole blood transcriptomic signature of psoriasis diagnosis and severity associated with prevalent MI and incident MACLE. These data have implications for better understanding the link between psoriasis, systemic inflammation and CVD.
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Affiliation(s)
- Michael S Garshick
- Department of Medicine, Center for the Prevention of Cardiovascular Disease, New York University School of Medicine, New York City, New York, USA
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
- Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York City, New York, USA
| | - Tessa J Barrett
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
| | - MacIntosh G Cornwell
- Division of Precision Medicine, New York University School of Medicine, New York City, New York, USA
- Institute for Systems Genetics, New York University School of Medicine, New York City, New York, USA
| | - Kamelia Drenkova
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
| | - Jessica Garelik
- Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York City, New York, USA
| | - Brittany N Weber
- Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Florencia Schlamp
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
| | - Caron Rockman
- Division of Vascular Surgery, Department of Surgery, New York University School of Medicine, New York City, New York, USA
| | - Kelly V Ruggles
- Division of Precision Medicine, New York University School of Medicine, New York City, New York, USA
- Institute for Systems Genetics, New York University School of Medicine, New York City, New York, USA
| | - Harmony R Reynolds
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
| | - Jeffrey S Berger
- Department of Medicine, Center for the Prevention of Cardiovascular Disease, New York University School of Medicine, New York City, New York, USA
- Leon H. Charney Division of Cardiology, Department of Medicine, Cardiovascular Research Center, New York University School of Medicine, New York City, New York, USA
- Division of Vascular Surgery, Department of Surgery, New York University School of Medicine, New York City, New York, USA
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13
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Loredan DG, Devlin JC, Lacey KA, Howard N, Chen Z, Zwack EE, Lin JD, Ruggles KV, Khanna KM, Torres VJ, Loke PN. Single-cell analysis of CX3CR1 + cells reveal a pathogenic role for BIRC5 + myeloid proliferating cells driven by Staphylococcus aureus leukotoxins. bioRxiv 2023:2023.02.27.529760. [PMID: 36909517 PMCID: PMC10002671 DOI: 10.1101/2023.02.27.529760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Our previous studies identified a population of stem cell-like proliferating myeloid cells within inflamed tissues that could serve as a reservoir for tissue macrophages to adopt different activation states depending on the microenvironment. By lineage tracing cells derived from CX3CR1 + precursors in mice during infection and profiling by scRNA-seq, here we identify a cluster of BIRC5 + myeloid cells that expanded in the liver during either chronic infection with the parasite Schistosoma mansoni or the bacterial pathogen Staphylococcus aureus . In the absence of tissue damaging toxins, S. aureus infection does not elicit these BIRC5 + cells. Moreover, deletion of BIRC5 from CX3CR1 expressing cells results in improved survival during S. aureus infection. Hence, the combination of scRNA-Seq and genetic fate mapping CX3CR1 + cells revealed a toxin dependent pathogenic role for BIRC5 in myeloid cells during S. aureus infection.
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14
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Axelrad JE, Chen Z, Devlin J, Ruggles KV, Cadwell K. Pathogen-Specific Alterations in the Gut Microbiota Predict Outcomes in Flare of Inflammatory Bowel Disease Complicated by Gastrointestinal Infection. Clin Transl Gastroenterol 2023; 14:e00550. [PMID: 36729813 PMCID: PMC9945377 DOI: 10.14309/ctg.0000000000000550] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 11/07/2022] [Indexed: 02/03/2023] Open
Abstract
INTRODUCTION Enteric infection with Clostridioides difficile , Escherichia coli subtypes, and norovirus is commonly detected in flares of inflammatory bowel disease (IBD). We associated the gut microbiome during flare complicated by a gastrointestinal pathogen with outcomes of IBD. METHODS We performed a cross-sectional study of 260 patients (92 IBD and 168 non-IBD) with a gastrointestinal polymerase chain reaction panel positive for C. difficile, E. coli , or norovirus, or negative during an episode of diarrhea from 2018 to 2020, and 25 healthy controls. Clinical variables, IBD status, and 2-year outcomes were collected. Using 16S rRNA sequencing, we measured the effect size of the gut microbiome on IBD characteristics and outcomes. RESULTS There were major differences in the gut microbiome between patients with and without a pathogen and IBD. In IBD, a higher proportion of patients without a pathogen required hospitalization and IBD therapies at flare and within the 2 years after flare, driven by a milder disease course in flares complicated by an E. coli subtype or norovirus. Examining the contribution of clinical covariates, the presence of IBD, and C-reactive protein, C. difficile had a greater relative influence on the gut microbiome compared with the presence of an E. coli subtype or norovirus. In patients with C. difficile or no pathogen, lower microbiome diversity at flare was associated with adverse IBD outcomes over 2 years. DISCUSSION Distinctive pathogen-specific gut microbiomes were associated with subsequent IBD outcomes. These findings may have direct implications for the management of IBD flares complicated by enteric pathogens.
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Affiliation(s)
- Jordan E. Axelrad
- Division of Gastroenterology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Ze Chen
- Department of Microbiology, NYU Grossman School of Medicine, New York, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Joseph Devlin
- Department of Microbiology, NYU Grossman School of Medicine, New York, New York, USA
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Kelly V. Ruggles
- Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, New York, USA
| | - Ken Cadwell
- Division of Gastroenterology, Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA
- Department of Microbiology, NYU Grossman School of Medicine, New York, New York, USA
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15
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Sargsian S, Chen Z, Lee SC, Robertson A, Thur RS, Sproch J, Devlin JC, Tee MZ, Er YX, Copin R, Heguy A, Pironti A, Torres VJ, Ruggles KV, Lim YA, Bethony J, Loke P, Cadwell K. Clostridia isolated from helminth-colonized humans promote the life cycle of Trichuris species. Cell Rep 2022; 41:111725. [PMID: 36450245 PMCID: PMC9790084 DOI: 10.1016/j.celrep.2022.111725] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 08/31/2022] [Accepted: 11/03/2022] [Indexed: 12/03/2022] Open
Abstract
Soil-transmitted intestinal worms known as helminths colonize over 1.5 billion people worldwide. Although helminth colonization has been associated with altered composition of the gut microbiota, such as increases in Clostridia, individual species have not been isolated and characterized. Here, we isolate and sequence the genome of 13 Clostridia from the Orang Asli, an indigenous population in Malaysia with a high prevalence of helminth infections. Metagenomic analysis of 650 fecal samples from urban and rural Malaysians confirm the prevalence of species corresponding to these isolates and reveal a specific association between Peptostreptococcaceae family members and helminth colonization. Remarkably, Peptostreptococcaceae isolated from the Orang Asli display superior capacity to promote the life cycle of whipworm species, including hatching of eggs from Trichuris muris and Trichuris trichiura. These findings support a model in which helminths select for gut colonization of microbes that support their life cycle.
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Affiliation(s)
- Shushan Sargsian
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA,Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Ze Chen
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Soo Ching Lee
- Type 2 Immunity Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Amicha Robertson
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA,Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Rafaela Saes Thur
- Department of Microbiology, Immunology and Tropical Medicine, George Washington University, Washington, DC 20052, USA
| | - Julia Sproch
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Joseph C. Devlin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Mian Zi Tee
- Department of Biomedical Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Yi Xian Er
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Richard Copin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Adriana Heguy
- Genome Technology Center, Office of Science and Research, New York University Langone Health, New York, NY 10016, USA,Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Alejandro Pironti
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Antimicrobial-Resistant Pathogens Program, New York University Grossman School of Medicine, New York, NY 10016, USA,Microbial Computational Genomic Core Lab, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Victor J. Torres
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Antimicrobial-Resistant Pathogens Program, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V. Ruggles
- Institute for System Genetics, New York University Langone Health, New York, NY 10016, USA,Division of Precision Medicine, Department of Medicine, New York University Langone Health, New York, NY 10016, USA
| | - Yvonne A.L. Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Jeffrey Bethony
- Department of Microbiology, Immunology and Tropical Medicine, George Washington University, Washington, DC 20052, USA
| | - P’ng Loke
- Type 2 Immunity Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA,Correspondence: (P.L.), (K.C.)
| | - Ken Cadwell
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA,Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Division of Gastroenterology and Hepatology, Department of Medicine, New York University Langone Health, New York, NY 10016, USA,Lead contact,Correspondence: (P.L.), (K.C.)
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16
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Matsuzawa-Ishimoto Y, Yao X, Koide A, Ueberheide BM, Axelrad JE, Reis BS, Parsa R, Neil JA, Devlin JC, Rudensky E, Dewan MZ, Cammer M, Blumberg RS, Ding Y, Ruggles KV, Mucida D, Koide S, Cadwell K. The γδ IEL effector API5 masks genetic susceptibility to Paneth cell death. Nature 2022; 610:547-554. [PMID: 36198790 PMCID: PMC9720609 DOI: 10.1038/s41586-022-05259-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 08/22/2022] [Indexed: 01/26/2023]
Abstract
Loss of Paneth cells and their antimicrobial granules compromises the intestinal epithelial barrier and is associated with Crohn's disease, a major type of inflammatory bowel disease1-7. Non-classical lymphoid cells, broadly referred to as intraepithelial lymphocytes (IELs), intercalate the intestinal epithelium8,9. This anatomical position has implicated them as first-line defenders in resistance to infections, but their role in inflammatory disease pathogenesis requires clarification. The identification of mediators that coordinate crosstalk between specific IEL and epithelial subsets could provide insight into intestinal barrier mechanisms in health and disease. Here we show that the subset of IELs that express γ and δ T cell receptor subunits (γδ IELs) promotes the viability of Paneth cells deficient in the Crohn's disease susceptibility gene ATG16L1. Using an ex vivo lymphocyte-epithelium co-culture system, we identified apoptosis inhibitor 5 (API5) as a Paneth cell-protective factor secreted by γδ IELs. In the Atg16l1-mutant mouse model, viral infection induced a loss of Paneth cells and enhanced susceptibility to intestinal injury by inhibiting the secretion of API5 from γδ IELs. Therapeutic administration of recombinant API5 protected Paneth cells in vivo in mice and ex vivo in human organoids with the ATG16L1 risk allele. Thus, we identify API5 as a protective γδ IEL effector that masks genetic susceptibility to Paneth cell death.
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Affiliation(s)
- Yu Matsuzawa-Ishimoto
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY, USA.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Xiaomin Yao
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY, USA.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Akiko Koide
- Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016,Department of Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Beatrix M. Ueberheide
- Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016,Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY, USA,Proteomics Laboratory, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, NY, USA,Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Jordan E. Axelrad
- Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Bernardo S. Reis
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Roham Parsa
- Laboratory of Mucosal Immunology, The Rockefeller University, New York, NY, USA
| | - Jessica A. Neil
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY, USA.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Joseph C. Devlin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Eugene Rudensky
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY, USA.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA
| | - M Zahidunnabi Dewan
- Experimental Pathology, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Michael Cammer
- Microscopy Laboratory, Division of Advanced Research Technologies, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Richard S. Blumberg
- Division of Gastroenterology, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Yi Ding
- Department of Laboratory Medicine, Geisinger Health, Danville, PA 17822, USA
| | - Kelly V. Ruggles
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, USA,Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Daniel Mucida
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA,Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Shohei Koide
- Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016,Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY, USA,Corresponding author: Ken Cadwell, Address: 430 East 29th street, 4th Floor, New York, NY 10016, , Phone: 212-263-8891, Fax: 212-263-5711, Shohei Koide, Address: 522 1st Avenue, Smilow Research Center, 8th floor, New York, NY 10016, , Phone: 646-501-4601
| | - Ken Cadwell
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY, USA.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY, USA.,Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA,Corresponding author: Ken Cadwell, Address: 430 East 29th street, 4th Floor, New York, NY 10016, , Phone: 212-263-8891, Fax: 212-263-5711, Shohei Koide, Address: 522 1st Avenue, Smilow Research Center, 8th floor, New York, NY 10016, , Phone: 646-501-4601
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17
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Li Y, Terekhanova NV, Zhou DC, Ruggles KV, Payne SH, Wendl M, Fenyő D, Ding L. Abstract 845: Pan-cancer proteogenomic signatures associated with HRD, MSI, APOBEC, and smoking. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The increased quality and data availability of large-scale transcriptomic, genomic, and proteomic studies require a pan-cancer integrated proteogenomic approach to define tumor molecular signatures accurately and identify new therapeutic targets. We comprehensively investigate more than 1000 samples across 12 cancer types from the Clinical Proteomics Tumor Analysis Consortium (CPTAC) and the International Cancer Proteogenome Consortium (ICPC). The types are comprised of breast (BR), colorectal (CO), and ovarian (OV) cancers, clear cell renal cell (ccRCC), head and neck squamous cell (HNSCC), lung squamous cell (LSCC), hepatitis B virus (HBV)-related hepatocellular (HCC), and endometrial (EC) carcinomas, lung adenocarcinoma (LUAD), pancreatic ductal adenocarcinoma (PDAC), and glioblastoma (GBM). In particular, we examine 8 Tumor Signature Associated Phenotypes (TSAPs), namely aristolochic acid (AA), aging, microsatellite instability (MSI), homologous recombination deficiency (HRD), POLE, APOBEC, smoking, and ultraviolet (UV) light exposure. This study is the first to report proteomic markers associated with these TSAPs on a pan-cancer level. In addition to genetic alterations and mutational signatures, we utilize multi-omics data of high-resolution proteome, phosphoproteome, acetylome, and gene expression to infer expression signatures of TSAPs by defining the most critical changes in the transcriptome and proteome accompanying the transitions to these TSAPs, especially markers that were uniquely found in proteomic data. We consolidated multi-omic data and calculated the novel quantitative Tumor Signature Associated Phenotypes (TSAPs) score to predict the TSAP status. For example, the use of proteomic markers for MSI-TSAP scoring can improve clinical testing of MSI status. We further study environmental exposure-related tumor proteogenomic signatures, immune proteogenomic signatures, and the association between the immune subtypes and TSAPs. Smoking strongly influences the tumor immune microenvironment and disease prognosis. We show that expression signatures can facilitate the prediction of TSAPs and help to uncover their underlying molecular mechanisms. By connecting these findings with druggable databases, we provide a link to actionable therapies, identify putative TSAP-related targets, and offer novel cues to optimize therapeutic options for patients, such as how additional targeting of genes up-regulated in PARP1 inhibitor-treated HRD tumors may overcome resistance. This will promote the identification not only of unique druggable targets, but also to determine putative novel therapeutic targets using integrated approaches.
Citation Format: Yize Li, Nadezhda V. Terekhanova, Daniel Cui Zhou, Kelly V. Ruggles, Samuel H. Payne, Michael Wendl, David Fenyő, Li Ding. Pan-cancer proteogenomic signatures associated with HRD, MSI, APOBEC, and smoking [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 845.
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Affiliation(s)
- Yize Li
- 1Washington University School of Medicine, St. Louis, MO
| | | | | | | | | | - Michael Wendl
- 1Washington University School of Medicine, St. Louis, MO
| | | | - Li Ding
- 1Washington University School of Medicine, St. Louis, MO
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18
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Kleffman K, Levinson G, Rose IVL, Blumenberg LM, Shadaloey SAA, Dhabaria A, Wong E, Galan-Echevarria F, Karz A, Argibay D, Von Itter R, Floristan A, Baptiste G, Eskow NM, Tranos JA, Chen J, Vega Y Saenz de Miera EC, Call M, Rogers R, Jour G, Wadghiri YZ, Osman I, Li YM, Mathews P, DeMattos R, Ueberheide B, Ruggles KV, Liddelow SA, Schneider RJ, Hernando E. Melanoma-secreted Amyloid Beta Suppresses Neuroinflammation and Promotes Brain Metastasis. Cancer Discov 2022; 12:1314-1335. [PMID: 35262173 PMCID: PMC9069488 DOI: 10.1158/2159-8290.cd-21-1006] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 12/21/2021] [Accepted: 02/18/2022] [Indexed: 11/16/2022]
Abstract
Brain metastasis is a significant cause of morbidity and mortality in multiple cancer types and represents an unmet clinical need. The mechanisms that mediate metastatic cancer growth in the brain parenchyma are largely unknown. Melanoma, which has the highest rate of brain metastasis among common cancer types, is an ideal model to study how cancer cells adapt to the brain parenchyma. Our unbiased proteomics analysis of melanoma short-term cultures revealed that proteins implicated in neurodegenerative pathologies are differentially expressed in melanoma cells explanted from brain metastases compared to those derived from extracranial metastases. We showed that melanoma cells require amyloid beta (AB) for growth and survival in the brain parenchyma. Melanoma-secreted AB activates surrounding astrocytes to a pro-metastatic, anti-inflammatory phenotype and prevents phagocytosis of melanoma by microglia. Finally, we demonstrate that pharmacological inhibition of AB decreases brain metastatic burden.
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Affiliation(s)
- Kevin Kleffman
- NYU Langone Medical Center, New York, New York, United States
| | - Grace Levinson
- NYU Langone Medical Center, New York, New York, United States
| | - Indigo V L Rose
- NYU Langone Medical Center, New York, New York, United States
| | | | | | - Avantika Dhabaria
- Proteomics Laboratory, Division of Advanced Research and Technology, NYU Langone Health, New York, New York., New York, NY, United States
| | - Eitan Wong
- Memorial Sloan Kettering Cancer Center, New York, New York, United States
| | | | - Alcida Karz
- NYU Langone Medical Center, New York, New York, United States
| | - Diana Argibay
- NYU Langone Medical Center, New York, NY, United States
| | | | | | - Gillian Baptiste
- New York University Grossman School of Medicine, New York, NY, United States
| | | | - James A Tranos
- NYU Langone Medical Center, New York, New York, United States
| | - Jenny Chen
- NYU Langone Medical Center, New York, New York, United States
| | | | - Melissa Call
- NYU Langone Medical Center, New York, New York, United States
| | - Robert Rogers
- NYU Langone Medical Center, New York, New York, United States
| | - George Jour
- New York University, New York, New York, United States
| | | | - Iman Osman
- New York University School of Medicine, New York, New York, United States
| | - Yue-Ming Li
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Paul Mathews
- NYU Langone Medical Center, New York, New York, United States
| | - Ronald DeMattos
- Eli Lilly (United States), Indianapolis, Indiana, United States
| | - Beatrix Ueberheide
- Proteomics Laboratory, Division of Advanced Research and Technology, NYU Langone Health, New York, New York., United States
| | - Kelly V Ruggles
- New York University Langone Medical Center, New York, United States
| | | | | | - Eva Hernando
- NYU Langone Medical Center, New York, NY, United States
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19
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Herrera A, Cheng A, Mimitou EP, Seffens A, George D, Bar-Natan M, Heguy A, Ruggles KV, Scher JU, Hymes K, Latkowski JA, Ødum N, Kadin ME, Ouyang Z, Geskin LJ, Smibert P, Buus TB, Koralov SB. Multimodal single-cell analysis of cutaneous T-cell lymphoma reveals distinct subclonal tissue-dependent signatures. Blood 2021; 138:1456-1464. [PMID: 34232982 PMCID: PMC8532199 DOI: 10.1182/blood.2020009346] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [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: 09/30/2020] [Accepted: 04/03/2021] [Indexed: 11/20/2022] Open
Abstract
Cutaneous T-cell lymphoma (CTCL) is a heterogeneous group of mature T-cell neoplasms characterized by the accumulation of clonal malignant CD4+ T cells in the skin. The most common variant of CTCL, mycosis fungoides (MF ), is confined to the skin in early stages but can be accompanied by extracutaneous dissemination of malignant T cells to the blood and lymph nodes in advanced stages of disease. Sézary syndrome (SS), a leukemic form of disease, is characterized by significant blood involvement. Little is known about the transcriptional and genomic relationship between skin- and blood-residing malignant T cells in CTCL. To identify and interrogate malignant clones in matched skin and blood from patients with leukemic MF and SS, we combine T-cell receptor clonotyping with quantification of gene expression and cell surface markers at the single cell level. Our data reveal clonal evolution at a transcriptional and genetic level within the malignant populations of individual patients. We highlight highly consistent transcriptional signatures delineating skin- and blood-derived malignant T cells. Analysis of these 2 populations suggests that environmental cues, along with genetic aberrations, contribute to transcriptional profiles of malignant T cells. Our findings indicate that the skin microenvironment in CTCL promotes a transcriptional response supporting rapid malignant expansion, as opposed to the quiescent state observed in the blood, potentially influencing efficacy of therapies. These results provide insight into tissue-specific characteristics of cancerous cells and underscore the need to address the patients' individual malignant profiles at the time of therapy to eliminate all subclones.
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Affiliation(s)
- Alberto Herrera
- Department of Pathology, New York University School of Medicine, New York, NY
| | - Anthony Cheng
- Department of Genetic and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Eleni P Mimitou
- Technology Innovation Laboratory, New York Genome Center, New York, NY
| | - Angelina Seffens
- Department of Pathology, New York University School of Medicine, New York, NY
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Dean George
- Department of Dermatology, Boston University and Roger Williams Medical Center, Brown University, Providence, RI
| | - Michal Bar-Natan
- Department of Pathology, New York University School of Medicine, New York, NY
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Adriana Heguy
- Department of Pathology, New York University School of Medicine, New York, NY
- Genome Technology Center, New York University School of Medicine, New York, NY
| | | | - Jose U Scher
- Division of Rheumatology, Department of Medicine
| | | | - Jo-Ann Latkowski
- Department of Dermatology, New York University School of Medicine, New York, NY
| | - Niels Ødum
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Marshall E Kadin
- Department of Dermatology, Boston University and Roger Williams Medical Center, Brown University, Providence, RI
| | - Zhengqing Ouyang
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA
| | - Larisa J Geskin
- Department of Dermatology, Columbia University, New York, NY
| | - Peter Smibert
- Technology Innovation Laboratory, New York Genome Center, New York, NY
| | - Terkild B Buus
- Department of Pathology, New York University School of Medicine, New York, NY
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Sergei B Koralov
- Department of Pathology, New York University School of Medicine, New York, NY
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20
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Zhang XS, Yin YS, Wang J, Battaglia T, Krautkramer K, Li WV, Li J, Brown M, Zhang M, Badri MH, Armstrong AJS, Strauch CM, Wang Z, Nemet I, Altomare N, Devlin JC, He L, Morton JT, Chalk JA, Needles K, Liao V, Mount J, Li H, Ruggles KV, Bonneau RA, Dominguez-Bello MG, Bäckhed F, Hazen SL, Blaser MJ. Maternal cecal microbiota transfer rescues early-life antibiotic-induced enhancement of type 1 diabetes in mice. Cell Host Microbe 2021; 29:1249-1265.e9. [PMID: 34289377 PMCID: PMC8370265 DOI: 10.1016/j.chom.2021.06.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 04/27/2021] [Accepted: 06/18/2021] [Indexed: 01/04/2023]
Abstract
Early-life antibiotic exposure perturbs the intestinal microbiota and accelerates type 1 diabetes (T1D) development in the NOD mouse model. Here, we found that maternal cecal microbiota transfer (CMT) to NOD mice after early-life antibiotic perturbation largely rescued the induced T1D enhancement. Restoration of the intestinal microbiome was significant and persistent, remediating the antibiotic-depleted diversity, relative abundance of particular taxa, and metabolic pathways. CMT also protected against perturbed metabolites and normalized innate and adaptive immune effectors. CMT restored major patterns of ileal microRNA and histone regulation of gene expression. Further experiments suggest a gut-microbiota-regulated T1D protection mechanism centered on Reg3γ, in an innate intestinal immune network involving CD44, TLR2, and Reg3γ. This regulation affects downstream immunological tone, which may lead to protection against tissue-specific T1D injury.
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Affiliation(s)
- Xue-Song Zhang
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA; Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA.
| | - Yue Sandra Yin
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA; Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Jincheng Wang
- Department of Biochemistry and Microbiology, Rutgers University - New Brunswick, New Brunswick, NJ, USA
| | - Thomas Battaglia
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Kimberly Krautkramer
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg 41345, Sweden
| | - Wei Vivian Li
- Department of Biostatistics and Epidemiology, Rutgers University School of Public Health, Piscataway, NJ, USA
| | - Jackie Li
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Mark Brown
- Cardiovascular & Metabolic Sciences, Lerner Research Institute Cleveland Clinic, Cleveland, OH, USA; Center for Microbiome & Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Meifan Zhang
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA; Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Michelle H Badri
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA; New York University, Center for Data Science, New York, NY, USA
| | - Abigail J S Armstrong
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Christopher M Strauch
- Cardiovascular & Metabolic Sciences, Lerner Research Institute Cleveland Clinic, Cleveland, OH, USA
| | - Zeneng Wang
- Cardiovascular & Metabolic Sciences, Lerner Research Institute Cleveland Clinic, Cleveland, OH, USA
| | - Ina Nemet
- Cardiovascular & Metabolic Sciences, Lerner Research Institute Cleveland Clinic, Cleveland, OH, USA
| | - Nicole Altomare
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Joseph C Devlin
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Linchen He
- Department of Population Health, New York University Langone Medical Center, New York, NY, USA
| | - Jamie T Morton
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - John Alex Chalk
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Kelly Needles
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Viviane Liao
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA
| | - Julia Mount
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Huilin Li
- Department of Population Health, New York University Langone Medical Center, New York, NY, USA
| | - Kelly V Ruggles
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA
| | - Richard A Bonneau
- Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA; New York University, Center for Data Science, New York, NY, USA; Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA
| | - Maria Gloria Dominguez-Bello
- Department of Biochemistry and Microbiology, Rutgers University - New Brunswick, New Brunswick, NJ, USA; Institute for Food, Nutrition and Health, Rutgers University - New Brunswick, New Brunswick, NJ, USA
| | - Fredrik Bäckhed
- The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg 41345, Sweden; Region västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stanley L Hazen
- Cardiovascular & Metabolic Sciences, Lerner Research Institute Cleveland Clinic, Cleveland, OH, USA; Center for Microbiome & Human Health, Cleveland Clinic, Cleveland, OH 44195, USA; Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Martin J Blaser
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, NJ, USA; Human Microbiome Program, New York University Langone Medical Center, New York, NY, USA.
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21
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Satpathy S, Krug K, Jean Beltran PM, Savage SR, Petralia F, Kumar-Sinha C, Dou Y, Reva B, Kane MH, Avanessian SC, Vasaikar SV, Krek A, Lei JT, Jaehnig EJ, Omelchenko T, Geffen Y, Bergstrom EJ, Stathias V, Christianson KE, Heiman DI, Cieslik MP, Cao S, Song X, Ji J, Liu W, Li K, Wen B, Li Y, Gümüş ZH, Selvan ME, Soundararajan R, Visal TH, Raso MG, Parra ER, Babur Ö, Vats P, Anand S, Schraink T, Cornwell M, Rodrigues FM, Zhu H, Mo CK, Zhang Y, da Veiga Leprevost F, Huang C, Chinnaiyan AM, Wyczalkowski MA, Omenn GS, Newton CJ, Schurer S, Ruggles KV, Fenyö D, Jewell SD, Thiagarajan M, Mesri M, Rodriguez H, Mani SA, Udeshi ND, Getz G, Suh J, Li QK, Hostetter G, Paik PK, Dhanasekaran SM, Govindan R, Ding L, Robles AI, Clauser KR, Nesvizhskii AI, Wang P, Carr SA, Zhang B, Mani DR, Gillette MA. A proteogenomic portrait of lung squamous cell carcinoma. Cell 2021; 184:4348-4371.e40. [PMID: 34358469 PMCID: PMC8475722 DOI: 10.1016/j.cell.2021.07.016] [Citation(s) in RCA: 138] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 04/26/2021] [Accepted: 07/12/2021] [Indexed: 02/07/2023]
Abstract
Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a deeper exposition of LSCC biology with potential therapeutic implications. We identify NSD3 as an alternative driver in FGFR1-amplified tumors and low-p63 tumors overexpressing the therapeutic target survivin. SOX2 is considered undruggable, but our analyses provide rationale for exploring chromatin modifiers such as LSD1 and EZH2 to target SOX2-overexpressing tumors. Our data support complex regulation of metabolic pathways by crosstalk between post-translational modifications including ubiquitylation. Numerous immune-related proteogenomic observations suggest directions for further investigation. Proteogenomic dissection of CDKN2A mutations argue for more nuanced assessment of RB1 protein expression and phosphorylation before declaring CDK4/6 inhibition unsuccessful. Finally, triangulation between LSCC, LUAD, and HNSCC identified both unique and common therapeutic vulnerabilities. These observations and proteogenomics data resources may guide research into the biology and treatment of LSCC.
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Affiliation(s)
- Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Pierre M Jean Beltran
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - Yongchao Dou
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - M Harry Kane
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Shayan C Avanessian
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Suhas V Vasaikar
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Erik J Bergstrom
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Vasileios Stathias
- Sylvester Comprehensive Cancer Center and Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Karen E Christianson
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Marcin P Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Song Cao
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Xiaoyu Song
- Department of Population Health Science and Policy, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jiayi Ji
- Department of Population Health Science and Policy, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Wenke Liu
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kai Li
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yize Li
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myvizhi Esai Selvan
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rama Soundararajan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tanvi H Visal
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Maria G Raso
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Edwin Roger Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Özgün Babur
- Computer Science Department, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Pankaj Vats
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Shankara Anand
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Tobias Schraink
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - MacIntosh Cornwell
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | | | - Houxiang Zhu
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Chia-Kuei Mo
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Chen Huang
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Stephan Schurer
- Sylvester Comprehensive Cancer Center and Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - David Fenyö
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Sendurai A Mani
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Namrata D Udeshi
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - James Suh
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Qing Kay Li
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Medical Institutions, Baltimore, MD 21224, USA
| | | | - Paul K Paik
- Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Ramaswamy Govindan
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Li Ding
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02115, USA.
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22
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Blumenberg L, Kawaler EA, Cornwell M, Smith S, Ruggles KV, Fenyö D. BlackSheep: A Bioconductor and Bioconda Package for Differential Extreme Value Analysis. J Proteome Res 2021; 20:3767-3773. [PMID: 34165986 PMCID: PMC8256816 DOI: 10.1021/acs.jproteome.1c00190] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
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Unbiased assays such as shotgun proteomics and RNA-seq provide high-resolution
molecular characterization of tumors. These assays measure molecules with highly varied
distributions, making interpretation and hypothesis testing challenging. Samples with
the most extreme measurements for a molecule can reveal the most interesting biological
insights yet are often excluded from analysis. Furthermore, rare disease subtypes are,
by definition, underrepresented in cancer cohorts. To provide a strategy for identifying
molecules aberrantly enriched in small sample cohorts, we present BlackSheep, a package
for nonparametric description and differential analysis of genome-wide data, available
from Bioconductor (https://www.bioconductor.org/packages/release/bioc/html/blacksheepr.html) and
Bioconda (https://bioconda.github.io/recipes/blksheep/README.html). BlackSheep is a
complementary tool to other differential expression analysis methods, which is
particularly useful when analyzing small subgroups in a larger cohort.
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Affiliation(s)
- Lili Blumenberg
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, New York 10016, United States.,Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York 10016, United States.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Emily A Kawaler
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, New York 10016, United States.,Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York 10016, United States.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - MacIntosh Cornwell
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, New York 10016, United States.,Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York 10016, United States.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Shaleigh Smith
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - Kelly V Ruggles
- Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, New York 10016, United States.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York 10016, United States
| | - David Fenyö
- Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, New York 10016, United States.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, New York 10016, United States
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23
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Guarino H, Mateu-Gelabert P, Quinn K, Sirikantraporn S, Ruggles KV, Syckes C, Goodbody E, Jessell L, Friedman SR. Adverse Childhood Experiences Predict Early Initiation of Opioid Use Behaviors. Front Sociol 2021; 6:620395. [PMID: 34055961 PMCID: PMC8158934 DOI: 10.3389/fsoc.2021.620395] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 04/07/2021] [Indexed: 05/26/2023]
Abstract
Introduction: Although a substantial body of research documents a relationship between traumatic stress in childhood and the initiation of substance use later in the life course, only limited research has examined potential linkages between adverse childhood experiences (ACEs) and the initiation of non-medical prescription opioid use and other opioid use behaviors. The present study contributes to this growing body of work by investigating the association of childhood trauma with early initiation of a series of opioid use behaviors. Methods: New York City young adults (n = 539) ages 18-29 who reported non-medical use of prescription opioids or heroin use in the past 30 days were recruited using Respondent-Driven Sampling in 2014-16. Ten ACEs were assessed via self-report with the ACE Questionnaire. Associations between number of ACEs and self-reported ages of initiating seven opioid use behaviors (e.g., non-medical prescription opioid use, heroin use, heroin injection) were estimated with multivariable logistic regression. Results: Eighty nine percent of participants reported at least one ACE, and 46% reported four or more ACEs, a well-supported threshold indicating elevated risk for negative health consequences. Every increase of one trauma was associated with a 12-23% increase in odds of early initiation across the seven opioid use behaviors. Findings also document that the mean age at initiation increased with increasing risk severity across the behaviors, contributing to evidence of a trajectory from opioid pill misuse to opioid injection. Discussion: Increasing number of childhood traumas was associated with increased odds of earlier initiation of multiple opioid misuse behaviors. In light of prior research linking earlier initiation of substance use with increased substance use severity, present findings suggest the importance of ACEs as individual-level determinants of increased opioid use severity. Efforts to prevent onset and escalation of opioid use among at-risk youth may benefit from trauma prevention programs and trauma-focused screening and treatment, as well as increased attention to ameliorating upstream socio-structural drivers of childhood trauma.
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Affiliation(s)
- Honoria Guarino
- Institute for Implementation Science in Population Health, City University of New York (CUNY) Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Pedro Mateu-Gelabert
- Institute for Implementation Science in Population Health, City University of New York (CUNY) Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Kelly Quinn
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, United States
| | | | - Kelly V. Ruggles
- Division of Translational Medicine, Department of Medicine, New York University (NYU) Grossman School of Medicine, New York, NY, United States
| | | | - Elizabeth Goodbody
- Institute for Implementation Science in Population Health, City University of New York (CUNY) Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Lauren Jessell
- Institute for Implementation Science in Population Health, City University of New York (CUNY) Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Samuel R. Friedman
- Department of Population Health, New York University (NYU) Grossman School of Medicine, New York, NY, United States
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24
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Wang LB, Karpova A, Gritsenko MA, Kyle JE, Cao S, Li Y, Rykunov D, Colaprico A, Rothstein JH, Hong R, Stathias V, Cornwell M, Petralia F, Wu Y, Reva B, Krug K, Pugliese P, Kawaler E, Olsen LK, Liang WW, Song X, Dou Y, Wendl MC, Caravan W, Liu W, Cui Zhou D, Ji J, Tsai CF, Petyuk VA, Moon J, Ma W, Chu RK, Weitz KK, Moore RJ, Monroe ME, Zhao R, Yang X, Yoo S, Krek A, Demopoulos A, Zhu H, Wyczalkowski MA, McMichael JF, Henderson BL, Lindgren CM, Boekweg H, Lu S, Baral J, Yao L, Stratton KG, Bramer LM, Zink E, Couvillion SP, Bloodsworth KJ, Satpathy S, Sieh W, Boca SM, Schürer S, Chen F, Wiznerowicz M, Ketchum KA, Boja ES, Kinsinger CR, Robles AI, Hiltke T, Thiagarajan M, Nesvizhskii AI, Zhang B, Mani DR, Ceccarelli M, Chen XS, Cottingham SL, Li QK, Kim AH, Fenyö D, Ruggles KV, Rodriguez H, Mesri M, Payne SH, Resnick AC, Wang P, Smith RD, Iavarone A, Chheda MG, Barnholtz-Sloan JS, Rodland KD, Liu T, Ding L. Proteogenomic and metabolomic characterization of human glioblastoma. Cancer Cell 2021; 39:509-528.e20. [PMID: 33577785 PMCID: PMC8044053 DOI: 10.1016/j.ccell.2021.01.006] [Citation(s) in RCA: 275] [Impact Index Per Article: 91.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/02/2020] [Accepted: 01/11/2021] [Indexed: 02/07/2023]
Abstract
Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data on 99 treatment-naive GBMs provides insights to GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 and PLCG1) as potential switches mediating oncogenic pathway activation, as well as potential targets for EGFR-, TP53-, and RB1-altered tumors. Immune subtypes with distinct immune cell types are discovered using bulk omics methodologies, validated by snRNA-seq, and correlated with specific expression and histone acetylation patterns. Histone H2B acetylation in classical-like and immune-low GBM is driven largely by BRDs, CREBBP, and EP300. Integrated metabolomic and proteomic data identify specific lipid distributions across subtypes and distinct global metabolic changes in IDH-mutated tumors. This work highlights biological relationships that could contribute to stratification of GBM patients for more effective treatment.
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Affiliation(s)
- Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Alla Karpova
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonio Colaprico
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami, FL 33136, USA
| | - Joseph H Rothstein
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Vasileios Stathias
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; BD2K-LINCS Data Coordination and Integration Center, Miami, FL 33136, USA
| | - MacIntosh Cornwell
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yige Wu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Pietro Pugliese
- Department of Science and Technology, University of Sannio, 82100, Benevento, Italy
| | - Emily Kawaler
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Lindsey K Olsen
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xiaoyu Song
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Daniel Cui Zhou
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jiayi Ji
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Xiaolu Yang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Seungyeul Yoo
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexis Demopoulos
- Department of Neurology, Northwell Health System, Lake Success, NY 11042 USA
| | - Houxiang Zhu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Joshua F McMichael
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | | | - Caleb M Lindgren
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Hannah Boekweg
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Shuangjia Lu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jessika Baral
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Kelly G Stratton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Lisa M Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Erika Zink
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Sneha P Couvillion
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kent J Bloodsworth
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Weiva Sieh
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simina M Boca
- Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Stephan Schürer
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA; BD2K-LINCS Data Coordination and Integration Center, Miami, FL 33136, USA; Institute for Data Science & Computing, University of Miami, FL 33136, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Cell Biology and Physiology, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | | | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | | | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80128, Naples, Italy; BIOGEM, 83031 Ariano Irpino, Italy
| | - Xi S Chen
- Sylvester Comprehensive Cancer Center, University of Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami, FL 33136, USA
| | - Sandra L Cottingham
- Department of Pathology, Spectrum Health and Helen DeVos Children's Hospital, Grand Rapids, MI 49503, USA
| | - Qing Kay Li
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Albert H Kim
- Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Adam C Resnick
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Antonio Iavarone
- Institute for Cancer Genetics, Columbia University Medical Center, New York, NY 10032, USA; Department of Neurology, Columbia University Medical Center, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY 10032, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Jill S Barnholtz-Sloan
- Case Comprehensive Cancer Center and Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA; Research and Education, University Hospitals Health System, Cleveland, OH 44106, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA.
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25
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Devlin JC, Axelrad J, Hine AM, Chang S, Sarkar S, Lin JD, Ruggles KV, Hudesman D, Cadwell K, Loke P. Single-Cell Transcriptional Survey of Ileal-Anal Pouch Immune Cells From Ulcerative Colitis Patients. Gastroenterology 2021; 160:1679-1693. [PMID: 33359089 PMCID: PMC8327835 DOI: 10.1053/j.gastro.2020.12.030] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 12/04/2020] [Accepted: 12/17/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND & AIMS Restorative proctocolectomy with ileal pouch-anal anastomosis is a surgical procedure in patients with ulcerative colitis refractory to medical therapies. Pouchitis, the most common complication, is inflammation of the pouch of unknown etiology. To define how the intestinal immune system is distinctly organized during pouchitis, we analyzed tissues from patients with and without pouchitis and from patients with ulcerative colitis using single-cell RNA sequencing (scRNA-seq). METHODS We examined pouch lamina propria CD45+ hematopoietic cells from intestinal tissues of ulcerative colitis patients with (n = 15) and without an ileal pouch-anal anastomosis (n = 11). Further in silico meta-analysis was performed to generate transcriptional interaction networks and identify biomarkers for patients with inflamed pouches. RESULTS In addition to tissue-specific signatures, we identified a population of IL1B/LYZ+ myeloid cells and FOXP3/BATF+ T cells that distinguish inflamed tissues, which we further validated in other scRNA-seq datasets from patients with inflammatory bowel disease (IBD). Cell-type-specific transcriptional markers obtained from scRNA-seq was used to infer representation from bulk RNA sequencing datasets, which further implicated myeloid cells expressing IL1B and S100A8/A9 calprotectin as interacting with stromal cells, and Bacteroidales and Clostridiales bacterial taxa. We found that nonresponsiveness to anti-integrin biologic therapies in patients with ulcerative colitis was associated with the signature of IL1B+/LYZ+ myeloid cells in a subset of patients. CONCLUSIONS Features of intestinal inflammation during pouchitis and ulcerative colitis are similar, which may have clinical implications for the management of pouchitis. scRNA-seq enables meta-analysis of multiple studies, which may facilitate the identification of biomarkers to personalize therapy for patients with IBD. The processed single cell count tables are provided in Gene Expression Omnibus; GSE162335. Raw sequence data are not public and are protected by controlled-access for patient privacy.
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Affiliation(s)
- Joseph C. Devlin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Sackler Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA,Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Jordan Axelrad
- Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Ashley M. Hine
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Shannon Chang
- Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Suparna Sarkar
- Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Jian-Da Lin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Skirball Institute of Biomedical Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V. Ruggles
- Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA,Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - David Hudesman
- Division of Gastroenterology and Hepatology, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Ken Cadwell
- Department of Microbiology; Division of Gastroenterology and Hepatology, Department of Medicine; Skirball Institute of Biomedical Medicine.
| | - P’ng Loke
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA,Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
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26
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Newman JD, Cornwell MG, Zhou H, Rockman C, Heguy A, Suarez Y, Cheng HS, Feinberg MW, Hochman JS, Ruggles KV, Berger JS. Gene Expression Signature in Patients With Symptomatic Peripheral Artery Disease. Arterioscler Thromb Vasc Biol 2021; 41:1521-1533. [PMID: 33657880 PMCID: PMC8048111 DOI: 10.1161/atvbaha.120.315857] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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] [Indexed: 12/31/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Jonathan D. Newman
- Department of Medicine, Division of Cardiology and the Center for the Prevention of Cardiovascular Disease
| | - MacIntosh G. Cornwell
- Department of Medicine, Division of Translational Medicine
- Institute of Systems Genetics
| | - Hua Zhou
- Applied Bioinformatics Laboratories
| | - Caron Rockman
- Department of Surgery, Division of Vascular Surgery, New York University School of Medicine, New York, NY, 10016
| | - Adriana Heguy
- Department of Pathology, NYU School of Medicine
- Genome Technology Center, Division of Advanced Research Technologies, NYU School of Medicine
| | - Yajaira Suarez
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT 06520
| | - Henry S. Cheng
- Department of Surgery, Division of Vascular Surgery, New York University School of Medicine, New York, NY, 10016
| | - Mark W. Feinberg
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA 02115
| | - Judith S. Hochman
- Department of Medicine, Division of Cardiology and the Center for the Prevention of Cardiovascular Disease
| | - Kelly V. Ruggles
- Department of Medicine, Division of Translational Medicine
- Institute of Systems Genetics
| | - Jeffrey S. Berger
- Department of Medicine, Division of Cardiology and the Center for the Prevention of Cardiovascular Disease
- Department of Surgery, Division of Vascular Surgery, New York University School of Medicine, New York, NY, 10016
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27
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Liu M, Devlin JC, Hu J, Volkova A, Battaglia TW, Ho M, Asplin JR, Byrd A, Loke P, Li H, Ruggles KV, Tsirigos A, Blaser MJ, Nazzal L. Microbial genetic and transcriptional contributions to oxalate degradation by the gut microbiota in health and disease. eLife 2021; 10:e63642. [PMID: 33769280 PMCID: PMC8062136 DOI: 10.7554/elife.63642] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [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: 10/01/2020] [Accepted: 03/23/2021] [Indexed: 12/14/2022] Open
Abstract
Over-accumulation of oxalate in humans may lead to nephrolithiasis and nephrocalcinosis. Humans lack endogenous oxalate degradation pathways (ODP), but intestinal microbes can degrade oxalate using multiple ODPs and protect against its absorption. The exact oxalate-degrading taxa in the human microbiota and their ODP have not been described. We leverage multi-omics data (>3000 samples from >1000 subjects) to show that the human microbiota primarily uses the type II ODP, rather than type I. Furthermore, among the diverse ODP-encoding microbes, an oxalate autotroph, Oxalobacter formigenes, dominates this function transcriptionally. Patients with inflammatory bowel disease (IBD) frequently suffer from disrupted oxalate homeostasis and calcium oxalate nephrolithiasis. We show that the enteric oxalate level is elevated in IBD patients, with highest levels in Crohn's disease (CD) patients with both ileal and colonic involvement consistent with known nephrolithiasis risk. We show that the microbiota ODP expression is reduced in IBD patients, which may contribute to the disrupted oxalate homeostasis. The specific changes in ODP expression by several important taxa suggest that they play distinct roles in IBD-induced nephrolithiasis risk. Lastly, we colonize mice that are maintained in the gnotobiotic facility with O. formigenes, using either a laboratory isolate or an isolate we cultured from human stools, and observed a significant reduction in host fecal and urine oxalate levels, supporting our in silico prediction of the importance of the microbiome, particularly O. formigenes in host oxalate homeostasis.
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Affiliation(s)
- Menghan Liu
- NYU Langone HealthNew YorkUnited States
- Vilcek Institute of Graduate Biomedical SciencesNew YorkUnited States
| | - Joseph C Devlin
- NYU Langone HealthNew YorkUnited States
- Vilcek Institute of Graduate Biomedical SciencesNew YorkUnited States
| | - Jiyuan Hu
- NYU Langone HealthNew YorkUnited States
| | - Angelina Volkova
- NYU Langone HealthNew YorkUnited States
- Vilcek Institute of Graduate Biomedical SciencesNew YorkUnited States
| | | | - Melody Ho
- NYU Langone HealthNew YorkUnited States
| | - John R Asplin
- Litholink Corporation, Laboratory Corporation of America HoldingsChicagoUnited States
| | - Allyson Byrd
- Department of Cancer Immunology, Genentech IncSouth San FranciscoUnited States
| | - P'ng Loke
- NYU Langone HealthNew YorkUnited States
| | - Huilin Li
- NYU Langone HealthNew YorkUnited States
| | | | | | - Martin J Blaser
- Center for Advanced Biotechnology and Medicine, Rutgers UniversityNew YorkUnited States
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28
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Weinstock A, Rahman K, Yaacov O, Nishi H, Menon P, Nikain CA, Garabedian ML, Pena S, Akbar N, Sansbury BE, Heffron SP, Liu J, Marecki G, Fernandez D, Brown EJ, Ruggles KV, Ramsey SA, Giannarelli C, Spite M, Choudhury RP, Loke P, Fisher EA. Wnt signaling enhances macrophage responses to IL-4 and promotes resolution of atherosclerosis. eLife 2021; 10:e67932. [PMID: 33720008 PMCID: PMC7994001 DOI: 10.7554/elife.67932] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [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: 02/27/2021] [Accepted: 03/01/2021] [Indexed: 12/14/2022] Open
Abstract
Atherosclerosis is a disease of chronic inflammation. We investigated the roles of the cytokines IL-4 and IL-13, the classical activators of STAT6, in the resolution of atherosclerosis inflammation. Using Il4-/-Il13-/- mice, resolution was impaired, and in control mice, in both progressing and resolving plaques, levels of IL-4 were stably low and IL-13 was undetectable. This suggested that IL-4 is required for atherosclerosis resolution, but collaborates with other factors. We had observed increased Wnt signaling in macrophages in resolving plaques, and human genetic data from others showed that a loss-of-function Wnt mutation was associated with premature atherosclerosis. We now find an inverse association between activation of Wnt signaling and disease severity in mice and humans. Wnt enhanced the expression of inflammation resolving factors after treatment with plaque-relevant low concentrations of IL-4. Mechanistically, activation of the Wnt pathway following lipid lowering potentiates IL-4 responsiveness in macrophages via a PGE2/STAT3 axis.
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Affiliation(s)
- Ada Weinstock
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Karishma Rahman
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Or Yaacov
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Hitoo Nishi
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Prashanthi Menon
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Cyrus A Nikain
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Michela L Garabedian
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Stephanie Pena
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Naveed Akbar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of OxfordOxfordUnited Kingdom
| | - Brian E Sansbury
- Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolBostonUnited States
| | - Sean P Heffron
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
- NYU Center for the Prevention of Cardiovascular Disease, New York University Grossman School of MedicineNew YorkUnited States
| | - Jianhua Liu
- Department of Surgery, Mount Sinai School of MedicineNew YorkUnited States
| | - Gregory Marecki
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Dawn Fernandez
- Cardiovascular Research Center, Department of Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Emily J Brown
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
| | - Kelly V Ruggles
- Division of Translational Medicine, Department of Medicine, New York University Langone Health, Institute for Systems Genetics, New York University Grossman School of MedicineNew YorkUnited States
| | - Stephen A Ramsey
- Department of Biomedical Sciences, School of Electrical Engineering and Computer Science, Oregon State UniversityCorvallisUnited States
| | - Chiara Giannarelli
- Cardiovascular Research Center, Department of Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- The Precision Immunology Institute, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Microbiology (Parasitology), New York University School of MedicineNew YorkUnited States
| | - Matthew Spite
- Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women’s Hospital and Harvard Medical SchoolBostonUnited States
| | - Robin P Choudhury
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of OxfordOxfordUnited Kingdom
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - P'ng Loke
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of OxfordOxfordUnited Kingdom
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of HealthBethesdaUnited States
| | - Edward A Fisher
- Department of Medicine, Leon H. Charney Division of Cardiology, Cardiovascular Research Program, New York University Grossman School of MedicineNew YorkUnited States
- NYU Center for the Prevention of Cardiovascular Disease, New York University Grossman School of MedicineNew YorkUnited States
- Departments of Cell Biology and Microbiology, New York University Grossman School of MedicineNew YorkUnited States
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29
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Volkova A, Ruggles KV. Predictive Metagenomic Analysis of Autoimmune Disease Identifies Robust Autoimmunity and Disease Specific Microbial Signatures. Front Microbiol 2021; 12:621310. [PMID: 33746917 PMCID: PMC7969817 DOI: 10.3389/fmicb.2021.621310] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/11/2021] [Indexed: 12/12/2022] Open
Abstract
Within the last decade, numerous studies have demonstrated changes in the gut microbiome associated with specific autoimmune diseases. Due to differences in study design, data quality control, analysis and statistical methods, many results of these studies are inconsistent and incomparable. To better understand the relationship between the intestinal microbiome and autoimmunity, we have completed a comprehensive re-analysis of 42 studies focusing on the gut microbiome in 12 autoimmune diseases to identify a microbial signature predictive of multiple sclerosis (MS), inflammatory bowel disease (IBD), rheumatoid arthritis (RA) and general autoimmune disease using both 16S rRNA sequencing data and shotgun metagenomics data. To do this, we used four machine learning algorithms, random forest, eXtreme Gradient Boosting (XGBoost), ridge regression, and support vector machine with radial kernel and recursive feature elimination to rank disease predictive taxa comparing disease vs. healthy participants and pairwise comparisons of each disease. Comparing the performance of these models, we found the two tree-based methods, XGBoost and random forest, most capable of handling sparse multidimensional data, to consistently produce the best results. Through this modeling, we identified a number of taxa consistently identified as dysregulated in a general autoimmune disease model including Odoribacter, Lachnospiraceae Clostridium, and Mogibacteriaceae implicating all as potential factors connecting the gut microbiome to autoimmune response. Further, we computed pairwise comparison models to identify disease specific taxa signatures highlighting a role for Peptostreptococcaceae and Ruminococcaceae Gemmiger in IBD and Akkermansia, Butyricicoccus, and Mogibacteriaceae in MS. We then connected a subset of these taxa with potential metabolic alterations based on metagenomic/metabolomic correlation analysis, identifying 215 metabolites associated with autoimmunity-predictive taxa.
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Affiliation(s)
- Angelina Volkova
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, United States
| | - Kelly V. Ruggles
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY, United States
- Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY, United States
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30
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Abstract
BACKGROUND Among adolescents, the pathway from being offered drugs to engaging in drug use has been established. The prevalence of drug transactions specifically in schools is less understood. The purpose of this study was to identify the prevalence of adolescents who have reported drug transaction experiences (being offered, sold, or given an illegal drug) on school property and subsequently identify behavioral correlates associated with these experiences. METHODS This study analyzed YRBS data from 2001 to 2015 (N = 117,815). We used 95% confidence intervals to evaluate differences in prevalence across years and demographic subgroups. Odds ratios determined the likelihood of engaging in risk behaviors among those youth also experiencing drug transactions on school property. RESULTS Every survey year, at least 1 in 5 youth reported having drug transaction experiences at school. Boys consistently reported significantly higher rates of drug transaction experiences in comparison to girls, with Hispanic boys representing the highest rates. Youth reporting these experiences with drug transactions were also more likely to carry a weapon to school and to be bullied at school. CONCLUSIONS Implications for the reduction of drug transactions in high schools are discussed and recommendations for prevention efforts addressing youth engagement in multiple risk behaviors are identified.
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Affiliation(s)
- Brande Brown
- , New York Presbyterian Brooklyn Methodist Hospital, Department of Pediatrics, 506 6th Street, Brooklyn, NY 11215
| | - Kelly V Ruggles
- , New York University School of Medicine, Department of Population Health, 550 First Avenue, 627A, New York, NY 10016
| | - Francesca T Le
- , New York Presbyterian Brooklyn Methodist Hospital, Department of Pediatrics, 506 6th Street, Brooklyn, NY 11215
| | - Sonali Rajan
- , Teachers College, Columbia University, Department of Health and Behavior Studies and Mailman School of Public Health, Department of Epidemiology, 525 West 120th Street, New York, NY 10027
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31
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Krug K, Jaehnig EJ, Satpathy S, Blumenberg L, Karpova A, Anurag M, Miles G, Mertins P, Geffen Y, Tang LC, Heiman DI, Cao S, Maruvka YE, Lei JT, Huang C, Kothadia RB, Colaprico A, Birger C, Wang J, Dou Y, Wen B, Shi Z, Liao Y, Wiznerowicz M, Wyczalkowski MA, Chen XS, Kennedy JJ, Paulovich AG, Thiagarajan M, Kinsinger CR, Hiltke T, Boja ES, Mesri M, Robles AI, Rodriguez H, Westbrook TF, Ding L, Getz G, Clauser KR, Fenyö D, Ruggles KV, Zhang B, Mani DR, Carr SA, Ellis MJ, Gillette MA. Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy. Cell 2020; 183:1436-1456.e31. [PMID: 33212010 PMCID: PMC8077737 DOI: 10.1016/j.cell.2020.10.036] [Citation(s) in RCA: 223] [Impact Index Per Article: 55.8] [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: 03/03/2020] [Revised: 07/14/2020] [Accepted: 10/21/2020] [Indexed: 02/08/2023]
Abstract
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued to preserve post-translational modifications, including protein phosphorylation and acetylation. Proteogenomics challenged standard breast cancer diagnoses, provided detailed analysis of the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint therapy, and allowed more accurate assessment of Rb status for prediction of CDK4/6 inhibitor responsiveness. Phosphoproteomics profiles uncovered novel associations between tumor suppressor loss and targetable kinases. Acetylproteome analysis highlighted acetylation on key nuclear proteins involved in the DNA damage response and revealed cross-talk between cytoplasmic and mitochondrial acetylation and metabolism. Our results underscore the potential of proteogenomics for clinical investigation of breast cancer through more accurate annotation of targetable pathways and biological features of this remarkably heterogeneous malignancy.
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Affiliation(s)
- Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Eric J Jaehnig
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Lili Blumenberg
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Alla Karpova
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Meenakshi Anurag
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - George Miles
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Philipp Mertins
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Max Delbrück Center for Molecular Medicine in the Helmholtz Society and Berlin Institute of Health, Berlin, Germany
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Lauren C Tang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Song Cao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Yosef E Maruvka
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ramani B Kothadia
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Antonio Colaprico
- Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Chet Birger
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Jarey Wang
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Department of Molecular and Human Genetics, and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yongchao Dou
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, Poznań 61-701, Poland; International Institute for Molecular Oncology, 60-203 Poznań, Poland
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Xi Steven Chen
- Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jacob J Kennedy
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Amanda G Paulovich
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Thomas F Westbrook
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Department of Molecular and Human Genetics, and Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA 02114, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - David Fenyö
- Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
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Sviderskiy VO, Blumenberg L, Gorodetsky E, Karakousi TR, Hirsh N, Alvarez SW, Terzi EM, Kaparos E, Whiten GC, Ssebyala S, Tonzi P, Mir H, Neel BG, Huang TT, Adams S, Ruggles KV, Possemato R. Hyperactive CDK2 Activity in Basal-like Breast Cancer Imposes a Genome Integrity Liability that Can Be Exploited by Targeting DNA Polymerase ε. Mol Cell 2020; 80:682-698.e7. [PMID: 33152268 PMCID: PMC7687292 DOI: 10.1016/j.molcel.2020.10.016] [Citation(s) in RCA: 16] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 08/12/2020] [Accepted: 10/09/2020] [Indexed: 02/06/2023]
Abstract
Knowledge of fundamental differences between breast cancer subtypes has driven therapeutic advances; however, basal-like breast cancer (BLBC) remains clinically intractable. Because BLBC exhibits alterations in DNA repair enzymes and cell-cycle checkpoints, elucidation of factors enabling the genomic instability present in this subtype has the potential to reveal novel anti-cancer strategies. Here, we demonstrate that BLBC is especially sensitive to suppression of iron-sulfur cluster (ISC) biosynthesis and identify DNA polymerase epsilon (POLE) as an ISC-containing protein that underlies this phenotype. In BLBC cells, POLE suppression leads to replication fork stalling, DNA damage, and a senescence-like state or cell death. In contrast, luminal breast cancer and non-transformed mammary cells maintain viability upon POLE suppression but become dependent upon an ATR/CHK1/CDC25A/CDK2 DNA damage response axis. We find that CDK1/2 targets exhibit hyperphosphorylation selectively in BLBC tumors, indicating that CDK2 hyperactivity is a genome integrity vulnerability exploitable by targeting POLE.
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Affiliation(s)
- Vladislav O Sviderskiy
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Lili Blumenberg
- Department of Medicine, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Elizabeth Gorodetsky
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Triantafyllia R Karakousi
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Nicole Hirsh
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Samantha W Alvarez
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Erdem M Terzi
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Efiyenia Kaparos
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Gabrielle C Whiten
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Shakirah Ssebyala
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Peter Tonzi
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Hannan Mir
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Benjamin G Neel
- Department of Medicine, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Tony T Huang
- Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Sylvia Adams
- Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Department of Medicine, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA
| | - Richard Possemato
- Department of Pathology, New York University School of Medicine, New York, NY 10016, USA; Laura & Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY 10016, USA.
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Abstract
BACKGROUND Unsupervised clustering is a common and exceptionally useful tool for large biological datasets. However, clustering requires upfront algorithm and hyperparameter selection, which can introduce bias into the final clustering labels. It is therefore advisable to obtain a range of clustering results from multiple models and hyperparameters, which can be cumbersome and slow. RESULTS We present hypercluster, a python package and SnakeMake pipeline for flexible and parallelized clustering evaluation and selection. Users can efficiently evaluate a huge range of clustering results from multiple models and hyperparameters to identify an optimal model. CONCLUSIONS Hypercluster improves ease of use, robustness and reproducibility for unsupervised clustering application for high throughput biology. Hypercluster is available on pip and bioconda; installation, documentation and example workflows can be found at: https://github.com/ruggleslab/hypercluster .
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Affiliation(s)
- Lili Blumenberg
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016 USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016 USA
| | - Kelly V. Ruggles
- Institute of Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016 USA
- Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016 USA
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Gillette MA, Satpathy S, Cao S, Dhanasekaran SM, Vasaikar SV, Krug K, Petralia F, Li Y, Liang WW, Reva B, Krek A, Ji J, Song X, Liu W, Hong R, Yao L, Blumenberg L, Savage SR, Wendl MC, Wen B, Li K, Tang LC, MacMullan MA, Avanessian SC, Kane MH, Newton CJ, Cornwell M, Kothadia RB, Ma W, Yoo S, Mannan R, Vats P, Kumar-Sinha C, Kawaler EA, Omelchenko T, Colaprico A, Geffen Y, Maruvka YE, da Veiga Leprevost F, Wiznerowicz M, Gümüş ZH, Veluswamy RR, Hostetter G, Heiman DI, Wyczalkowski MA, Hiltke T, Mesri M, Kinsinger CR, Boja ES, Omenn GS, Chinnaiyan AM, Rodriguez H, Li QK, Jewell SD, Thiagarajan M, Getz G, Zhang B, Fenyö D, Ruggles KV, Cieslik MP, Robles AI, Clauser KR, Govindan R, Wang P, Nesvizhskii AI, Ding L, Mani DR, Carr SA. Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma. Cell 2020; 182:200-225.e35. [PMID: 32649874 PMCID: PMC7373300 DOI: 10.1016/j.cell.2020.06.013] [Citation(s) in RCA: 338] [Impact Index Per Article: 84.5] [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: 11/05/2019] [Revised: 03/06/2020] [Accepted: 06/03/2020] [Indexed: 12/24/2022]
Abstract
To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of 110 tumors and 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, and acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, and gender. Proteomic and phosphoproteomic data illuminated biology downstream of copy number aberrations, somatic mutations, and fusions and identified therapeutic vulnerabilities associated with driver events involving KRAS, EGFR, and ALK. Immune subtyping revealed a complex landscape, reinforced the association of STK11 with immune-cold behavior, and underscored a potential immunosuppressive role of neutrophil degranulation. Smoking-associated LUADs showed correlation with other environmental exposure signatures and a field effect in NATs. Matched NATs allowed identification of differentially expressed proteins with potential diagnostic and therapeutic utility. This proteogenomics dataset represents a unique public resource for researchers and clinicians seeking to better understand and treat lung adenocarcinomas.
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Affiliation(s)
- Michael A Gillette
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, 02115, USA.
| | - Shankha Satpathy
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA.
| | - Song Cao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | | | - Suhas V Vasaikar
- Department of Translational Molecular Pathology, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Karsten Krug
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yize Li
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Wen-Wei Liang
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jiayi Ji
- Department of Population Health Science and Policy; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Xiaoyu Song
- Department of Population Health Science and Policy; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Wenke Liu
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Runyu Hong
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Lijun Yao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Lili Blumenberg
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Michael C Wendl
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kai Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Lauren C Tang
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA; Department of Biological Sciences, Columbia University, New York, NY, 10027, USA
| | - Melanie A MacMullan
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, 90089, USA
| | - Shayan C Avanessian
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - M Harry Kane
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | | | - MacIntosh Cornwell
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Ramani B Kothadia
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Weiping Ma
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Seungyeul Yoo
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rahul Mannan
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Pankaj Vats
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA
| | | | - Emily A Kawaler
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Tatiana Omelchenko
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Antonio Colaprico
- Department of Public Health Sciences, University of Miami, Miller School of Medicine, Miami, FL, 33136, USA
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Yosef E Maruvka
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | | | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, Poznań, 61-701, Poland; International Institute for Molecular Oncology, Poznań, 60-203, Poland
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Rajwanth R Veluswamy
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | - David I Heiman
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Emily S Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Qing Kay Li
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Medical Institutions, Baltimore, MD, 21224, USA
| | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI, 49503, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA
| | - Gad Getz
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - David Fenyö
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics and Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Marcin P Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD, 20892, USA
| | - Karl R Clauser
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Ramaswamy Govindan
- Division of Oncology and Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, MO, 63110, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA
| | - Steven A Carr
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, 02142, USA.
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35
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Lin JD, Devlin JC, Yeung F, McCauley C, Leung JM, Chen YH, Cronkite A, Hansen C, Drake-Dunn C, Ruggles KV, Cadwell K, Graham AL, Loke P. Housing laboratory mice deficient for Nod2 and Atg16l1 in a natural environment uncovers genetic and environmental contributions to immune variation. The Journal of Immunology 2020. [DOI: 10.4049/jimmunol.204.supp.159.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Abstract
The relative contributions of genetic and environmental factors to variation in immune responses are still poorly understood. Here, we performed a deep phenotypic analysis of immunological parameters of laboratory mice released into an outdoor enclosure, carrying susceptibility genes (Nod2 and Atg16l1) implicated in the development of inflammatory bowel diseases. Variations of immune cell populations were largely driven by environment, whereas cytokine production in response to stimulation was affected more by genetic mutations. Multi-omic models identified transcriptional signatures associated with differences in T cell populations. Subnetworks associated with responses against Clostridium perfringens, Candida albicans and Bacteroides vulgatus were also coupled with rewilding. Hence, exposing laboratory mice carrying different genetic mutations to a natural environment uncovered important contributors to immune variation.
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Affiliation(s)
- Jian-Da Lin
- 1New York University School of Medicine
- 2NIAID, NIH
| | | | | | | | | | | | | | | | | | | | | | | | - P’ng Loke
- 1New York University School of Medicine
- 2NIAID, NIH
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36
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Devlin JC, Zwack EE, Tang MS, Li Z, Fenyo D, Torres VJ, Ruggles KV, Loke P. Distinct Features of Human Myeloid Cell Cytokine Response Profiles Identify Neutrophil Activation by Cytokines as a Prognostic Feature during Tuberculosis and Cancer. J Immunol 2020; 204:3389-3399. [PMID: 32350082 DOI: 10.4049/jimmunol.1901133] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 04/13/2020] [Indexed: 12/14/2022]
Abstract
Myeloid cells are a vital component of innate immunity and comprise monocytes, macrophages, dendritic cells, and granulocytes. How myeloid cell lineage affects activation states in response to cytokines remains poorly understood. The cytokine environment and cellular infiltrate during an inflammatory response may contain prognostic features that predict disease outcome. In this study, we analyzed the transcriptional responses of human monocytes, macrophages, dendritic cells, and neutrophils in response to stimulation by IFN-γ, IFN-β, IFN-λ, IL-4, IL-13, and IL-10 cytokines to better understand the heterogeneity of activation states in inflammatory conditions. This generated a myeloid cell-cytokine-specific response matrix that can infer representation of myeloid cells and the cytokine environment they encounter during infection, in tumors and in whole blood. Neutrophils were highly responsive to type 1 and type 2 cytokine stimulation but did not respond to IL-10. We identified transcripts specific to IFN-β stimulation, whereas other IFN signature genes were upregulated by both IFN-γ and IFN-β. When we used our matrix to deconvolute blood profiles from tuberculosis patients, the IFN-β-specific neutrophil signature was reduced in tuberculosis patients with active disease, whereas the shared response to IFN-γ and IFN-β in neutrophils was increased. When applied to glioma patients, transcripts of neutrophils exposed to IL-4/IL-13 and monocyte responses to IFN-γ or IFN-β emerged as opposing predictors of patient survival. Hence, by dissecting how different myeloid cells respond to cytokine activation, we can delineate biological roles for myeloid cells in different cytokine environments during disease processes, especially during infection and tumor progression.
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Affiliation(s)
- Joseph C Devlin
- Sackler Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016.,Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016.,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016
| | - Erin E Zwack
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016
| | - Mei San Tang
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016
| | - Zhi Li
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016
| | - David Fenyo
- Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016.,Department of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, New York, NY 10016
| | - Victor J Torres
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016;
| | - Kelly V Ruggles
- Sackler Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016; .,Institute for Systems Genetics, New York University Grossman School of Medicine, New York, NY 10016.,Division of Translational Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016.,Applied Bioinformatics Laboratories, New York University Grossman School of Medicine, New York, NY 10016; and
| | - P'ng Loke
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016; .,Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892
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37
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Yeung F, Chen YH, Lin JD, Leung JM, McCauley C, Devlin JC, Hansen C, Cronkite A, Stephens Z, Drake-Dunn C, Fulmer Y, Shopsin B, Ruggles KV, Round JL, Loke P, Graham AL, Cadwell K. Altered Immunity of Laboratory Mice in the Natural Environment Is Associated with Fungal Colonization. Cell Host Microbe 2020; 27:809-822.e6. [PMID: 32209432 DOI: 10.1016/j.chom.2020.02.015] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [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: 10/01/2019] [Revised: 12/11/2019] [Accepted: 02/28/2020] [Indexed: 12/21/2022]
Abstract
Free-living mammals, such as humans and wild mice, display heightened immune activation compared with artificially maintained laboratory mice. These differences are partially attributed to microbial exposure as laboratory mice infected with pathogens exhibit immune profiles more closely resembling that of free-living animals. Here, we examine how colonization by microorganisms within the natural environment contributes to immune system maturation by releasing inbred laboratory mice into an outdoor enclosure. In addition to enhancing differentiation of T cell populations previously associated with pathogen exposure, outdoor release increased circulating granulocytes. However, these "rewilded" mice were not infected by pathogens previously implicated in immune activation. Rather, immune system changes were associated with altered microbiota composition with notable increases in intestinal fungi. Fungi isolated from rewilded mice were sufficient in increasing circulating granulocytes. These findings establish a model to investigate how the natural environment impacts immune development and show that sustained fungal exposure impacts granulocyte numbers.
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Affiliation(s)
- Frank Yeung
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Sackler Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Ying-Han Chen
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Jian-Da Lin
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jacqueline M Leung
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Caroline McCauley
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Joseph C Devlin
- Sackler Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Christina Hansen
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Alex Cronkite
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Zac Stephens
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - Charlotte Drake-Dunn
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Yi Fulmer
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA; Division of Infectious Disease, Department of Medicine, New York University Langone Health, New York, NY 10016, USA
| | - Bo Shopsin
- Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA; Division of Infectious Disease, Department of Medicine, New York University Langone Health, New York, NY 10016, USA
| | - Kelly V Ruggles
- Division of Translational Medicine, Department of Medicine, New York University Langone Health, New York, NY 10016, USA; Applied Bioinformatics Laboratories, New York Unversity Grossman School of Medicine, New York, NY 10016, USA
| | - June L Round
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - P'ng Loke
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Andrea L Graham
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
| | - Ken Cadwell
- Kimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine, New York, NY 10016, USA; Department of Microbiology, New York University Grossman School of Medicine, New York, NY 10016, USA; Division of Gastroenterology and Hepatology, Department of Medicine, New York University Langone Health, New York, NY 10016, USA.
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Lin JD, Devlin JC, Yeung F, McCauley C, Leung JM, Chen YH, Cronkite A, Hansen C, Drake-Dunn C, Ruggles KV, Cadwell K, Graham AL, Loke P. Rewilding Nod2 and Atg16l1 Mutant Mice Uncovers Genetic and Environmental Contributions to Microbial Responses and Immune Cell Composition. Cell Host Microbe 2020; 27:830-840.e4. [PMID: 32209431 DOI: 10.1016/j.chom.2020.03.001] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [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: 10/01/2019] [Revised: 12/10/2019] [Accepted: 02/28/2020] [Indexed: 02/07/2023]
Abstract
The relative contributions of genetic and environmental factors to variation in immune responses are poorly understood. Here, we performed a phenotypic analysis of immunological parameters in laboratory mice carrying susceptibility genes implicated in inflammatory bowel disease (IBD) (Nod2 and Atg16l1) upon exposure to environmental microbes. Mice were released into an outdoor enclosure (rewilded) and then profiled for immune responses in the blood and lymph nodes. Variations of immune cell populations were largely driven by the environment, whereas cytokine production elicited by microbial antigens was more affected by the genetic mutations. We identified transcriptional signatures in the lymph nodes associated with differences in T cell populations. Subnetworks associated with responses against Clostridium perfringens, Candida albicans, and Bacteroides vulgatus were also coupled with rewilding. Therefore, exposing laboratory mice with genetic mutations to a natural environment uncovers different contributions to variations in microbial responses and immune cell composition.
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Affiliation(s)
- Jian-Da Lin
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Joseph C Devlin
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Sackler Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York University, New York, NY 10016, USA; Institute of Systems Genetics, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Frank Yeung
- Sackler Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York University, New York, NY 10016, USA; Kimmel Center for Biology and Medicine at the Skirball Institute, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Caroline McCauley
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Jacqueline M Leung
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Ying-Han Chen
- Kimmel Center for Biology and Medicine at the Skirball Institute, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Alex Cronkite
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Kimmel Center for Biology and Medicine at the Skirball Institute, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Christina Hansen
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
| | - Charlotte Drake-Dunn
- Kimmel Center for Biology and Medicine at the Skirball Institute, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Kelly V Ruggles
- Division of Translational Medicine, Department of Medicine, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Institute of Systems Genetics, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA
| | - Ken Cadwell
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Kimmel Center for Biology and Medicine at the Skirball Institute, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Division of Gastroenterology and Hepatology, Department of Medicine, New York University Langone Health, New York, NY 10016, USA.
| | - Andrea L Graham
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.
| | - P'ng Loke
- Department of Microbiology, NYU Grossman School of Medicine, New York University School of Medicine, New York, NY 10016, USA; Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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Dou Y, Kawaler EA, Cui Zhou D, Gritsenko MA, Huang C, Blumenberg L, Karpova A, Petyuk VA, Savage SR, Satpathy S, Liu W, Wu Y, Tsai CF, Wen B, Li Z, Cao S, Moon J, Shi Z, Cornwell M, Wyczalkowski MA, Chu RK, Vasaikar S, Zhou H, Gao Q, Moore RJ, Li K, Sethuraman S, Monroe ME, Zhao R, Heiman D, Krug K, Clauser K, Kothadia R, Maruvka Y, Pico AR, Oliphant AE, Hoskins EL, Pugh SL, Beecroft SJI, Adams DW, Jarman JC, Kong A, Chang HY, Reva B, Liao Y, Rykunov D, Colaprico A, Chen XS, Czekański A, Jędryka M, Matkowski R, Wiznerowicz M, Hiltke T, Boja E, Kinsinger CR, Mesri M, Robles AI, Rodriguez H, Mutch D, Fuh K, Ellis MJ, DeLair D, Thiagarajan M, Mani DR, Getz G, Noble M, Nesvizhskii AI, Wang P, Anderson ML, Levine DA, Smith RD, Payne SH, Ruggles KV, Rodland KD, Ding L, Zhang B, Liu T, Fenyö D. Proteogenomic Characterization of Endometrial Carcinoma. Cell 2020; 180:729-748.e26. [PMID: 32059776 PMCID: PMC7233456 DOI: 10.1016/j.cell.2020.01.026] [Citation(s) in RCA: 247] [Impact Index Per Article: 61.8] [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: 05/29/2019] [Revised: 11/11/2019] [Accepted: 01/16/2020] [Indexed: 02/07/2023]
Abstract
We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. An extensive genome-wide acetylation survey yielded insights into regulatory mechanisms linking Wnt signaling and histone acetylation. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions. Collectively, our multi-omic analyses provide a valuable resource for researchers and clinicians, identify new molecular associations of potential mechanistic significance in the development of endometrial cancers, and suggest novel approaches for identifying potential therapeutic targets.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Emily A Kawaler
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Daniel Cui Zhou
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lili Blumenberg
- Department of Medicine, NYU School of Medicine, New York, NY 10016, USA
| | - Alla Karpova
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shankha Satpathy
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Yige Wu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Zhi Li
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Song Cao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - MacIntosh Cornwell
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Rosalie K Chu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Suhas Vasaikar
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hua Zhou
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA
| | - Qingsong Gao
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Kai Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sunantha Sethuraman
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - David Heiman
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karsten Krug
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karl Clauser
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ramani Kothadia
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yosef Maruvka
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexander R Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA 94158, USA
| | - Amanda E Oliphant
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Emily L Hoskins
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Samuel L Pugh
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Sean J I Beecroft
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - David W Adams
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Jonathan C Jarman
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Andy Kong
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonio Colaprico
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Xi Steven Chen
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Division of Biostatistics, Department of Public Health Science, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Andrzej Czekański
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Marcin Jędryka
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Rafał Matkowski
- Department of Oncology, Wroclaw Medical University, 50-367 Wrocław, Poland; Wroclaw Comprehensive Cancer Center, 53-413 Wrocław, Poland
| | - Maciej Wiznerowicz
- Poznan University of Medical Sciences, 61-701 Poznań, Poland; University Hospital of Lord's Transfiguration, 60-569 Poznań, Poland; International Institute for Molecular Oncology, 60-203 Poznań, Poland
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Emily Boja
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christopher R Kinsinger
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - David Mutch
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Katherine Fuh
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Deborah DeLair
- Department of Pathology, NYU Langone Health, New York, NY 10016, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Gad Getz
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael Noble
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Matthew L Anderson
- College of Medicine Obstetrics & Gynecology, University of South Florida Health, Tampa, FL 33620, USA
| | - Douglas A Levine
- Gynecologic Oncology, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Kelly V Ruggles
- Department of Medicine, NYU School of Medicine, New York, NY 10016, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA.
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Ernlund AW, Schneider RJ, Ruggles KV. RIVET: comprehensive graphic user interface for analysis and exploration of genome-wide translatomics data. BMC Genomics 2018; 19:809. [PMID: 30409155 PMCID: PMC6225633 DOI: 10.1186/s12864-018-5166-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 10/15/2018] [Indexed: 11/29/2022] Open
Abstract
Background Translatomics data, particularly genome-wide ribosome profiling and polysome profiling, provide multiple levels of gene regulatory information that can be used to assess general transcription and translation, as well translational efficiency. The increasing popularity of these techniques has resulted in multiple algorithms to detect translational regulation, typically distributed in the form of command line tools that require a basic level of programming ability. Additionally, due to the static nature of current software, dynamic transcriptional and translational comparative analysis cannot be adequately achieved. In order to streamline hypothesis generation, investigators must have the ability to manipulate and interact with their data in real-time. Results To address the lack of integration in current software, we introduce RIVET, Ribosomal Investigation and Visualization to Evaluate Translation, an R shiny based graphical user interface for translatomics data exploration and differential analysis. RIVET can analyze either microarray or RNA sequencing data from polysome profiling and ribosome profiling experiments. RIVET provides multiple choices for statistical analysis as well as integration of transcription, translation, and translational efficiency data analytics and the ability to visualize all results dynamically. Conclusions RIVET is a user-friendly tool designed for bench scientists with little to no programming background. RIVET facilitates the data analysis of translatomics data allowing for dynamic generation of results based on user-defined inputs and publication ready visualization. We expect RIVET will allow for scientists to efficiently make more comprehensive data observations that will lead to more robust hypothesis regarding translational regulation. Electronic supplementary material The online version of this article (10.1186/s12864-018-5166-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Amanda W Ernlund
- Department of Microbiology, New York University School of Medicine, New York, 10016, USA
| | - Robert J Schneider
- Department of Microbiology, New York University School of Medicine, New York, 10016, USA.
| | - Kelly V Ruggles
- Department of Medicine, Department of Translational Medicine, New York University School of Medicine, New York, 10016, USA.
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Patel AR, Ruggles KV, Nucifora K, Zhou Q, Schensul S, Schensul J, Bryant K, Braithwaite RS. Evaluating Alternative Designs of a Multilevel HIV Intervention in Maharashtra, India: The Impact of Stakeholder Constraints. MDM Policy Pract 2018; 3:2381468318803940. [PMID: 30349875 PMCID: PMC6194934 DOI: 10.1177/2381468318803940] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 08/20/2018] [Indexed: 11/16/2022] Open
Abstract
Background. Multilevel interventions combine individual component interventions, and their design can be informed by decision analysis. Our objective was to identify the optimal combination of interventions for alcohol-using HIV+ individuals on antiretroviral drug therapy in Maharashtra, India, explicitly considering stakeholder constraints. Methods. Using an HIV simulation, we evaluated the expected net monetary benefit (ENMB), the probability of lying on the efficiency frontier (PEF), and annual program costs of 5,836 unique combinations of 15 single-focused HIV risk-reduction interventions. We evaluated scenarios of 1) no constraints (i.e., maximize expected value), 2) short-term budget constraints (limits on annual programmatic costs of US$200,000 and $400,000), and 3) a constraint stemming from risk aversion (requiring that the strategy has >50% PEF). Results. With no constraints, the combination including long individual alcohol counseling, text-message adherence support, long group counseling for sex-risk, and long individual counseling for sex-risk (annual cost = $428,886; PEF ∼27%) maximized ENMB and would be the optimal design. With a cost constraint of $400,000, the combination including long individual alcohol counseling, text-message adherence support, brief group counseling for sex-risk, and long individual counseling for sex-risk (annual cost = $374,745; PEF ∼4%) maximized ENMB. With a cost constraint of $200,000, the combination including long individual alcohol counseling, text-message adherence support, and brief group counseling for sex-risk (annual cost = $187,335; PEF ∼54%) maximized ENMB. With the risk aversion constraint, the same configuration (long individual alcohol counseling, text-message support, and brief group counseling for sex-risk) maximized health benefit. Conclusion. Evaluating the costs, risks, and projected benefits of alternatives supports informed decision making prior to initiating study; however, stakeholder constraints should be explicitly included and discussed when using decision analyses to guide study design.
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Affiliation(s)
- Anik R Patel
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kelly V Ruggles
- Department of Population Health, New York University School of Medicine, New York
| | - Kimberly Nucifora
- Department of Population Health, New York University School of Medicine, New York
| | - Qinlian Zhou
- Department of Population Health, New York University School of Medicine, New York
| | - Stephen Schensul
- Department of Community Medicine and Health Care, University of Connecticut, Storrs, Connecticut
| | - Jean Schensul
- Institute of Community Research, Hartford, Connecticut
| | - Kendall Bryant
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland
| | - R Scott Braithwaite
- Department of Population Health, New York University School of Medicine, New York
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Ruggles KV, Wang J, Volkova A, Contreras M, Noya-Alarcon O, Lander O, Caballero H, Dominguez-Bello MG. Changes in the Gut Microbiota of Urban Subjects during an Immersion in the Traditional Diet and Lifestyle of a Rainforest Village. mSphere 2018; 3:3/4/e00193-18. [PMID: 30158281 PMCID: PMC6115531 DOI: 10.1128/msphere.00193-18] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [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: 01/16/2023] Open
Abstract
People living traditional lifestyles have higher gut microbiota diversity than urban subjects. We hypothesized that shifting lifestyles from an urban environment to a traditional rainforest village would lead to changes in the microbiota of visitors, which would become more similar to the microbiota of villagers. Here, we characterized at different time points the microbiota of 7 urban visitors (5 adults and 2 children) staying in a rainforest Amerindian village for 16 days and compared them with a reference collection of samples from age-matched local villagers. We performed a 16S rRNA gene survey of samples from multiple body sites (including fecal, oral, nasal, and skin samples) using Illumina MiSeq sequencing. The main factor segregating the microbiotas of each body site was the human group (i.e., visitors versus villagers), with the visitor microbiota tending to have lower alpha diversity; the lowered alpha diversity was statistically significant in the microbiota of skin and in the children's fecal and oral microbiota. During the rainforest period, all visitors experienced microbiota changes within their personal cloud of variation. For all body sites, the microbiota conformations in the visitor children better matched the microbiota conformations in villagers of the same age than did those of the visitor adults, which showed a lower "microbiota age" than the microbiota of the villagers. The results suggest higher stability in the adult microbiota, with the less resilient children's microbiota responding more to dietary changes.IMPORTANCE Despite the limitations of a small study, our results evidence higher resilience of the gut microbiota with respect to dietary manipulation in adults than in children and urge further studies to understand the extent of microbiota plasticity in response to dietary changes and the mechanisms underlying microbiota resilience. These studies are relevant to the potential of future human pre- and probiotics in preventing or curing microbiota-associated diseases.
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Affiliation(s)
- Kelly V Ruggles
- Department of Medicine, New York University Langone Medical Center, New York, New York, USA
| | - Jincheng Wang
- Department of Medicine, New York University Langone Medical Center, New York, New York, USA
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey, USA
| | - Angelina Volkova
- Department of Medicine, New York University Langone Medical Center, New York, New York, USA
| | - Monica Contreras
- Center for Biophysics and Biochemistry, Venezuelan Institute of Scientific Research (IVIC), Caracas, Venezuela
| | - Oscar Noya-Alarcon
- Instituto de Medicina Tropical, Universidad Central de Venezuela, Caracas, Venezuela
- Amazonic Center for Research and Control of Tropical Diseases (CAICET), Puerto Ayacucho, Venezuela
| | - Orlana Lander
- Instituto de Medicina Tropical, Universidad Central de Venezuela, Caracas, Venezuela
| | - Hortensia Caballero
- Department of Anthropology, Venezuelan Institute of Scientific Research (IVIC), Caracas, Venezuela
| | - Maria G Dominguez-Bello
- Department of Medicine, New York University Langone Medical Center, New York, New York, USA
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey, USA
- Department of Anthropology, New York University, New York, New York, USA
- Department of Anthropology, Rutgers University, New Brunswick, New Jersey, USA
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Lieber AD, Beier UH, Xiao H, Wilkins BJ, Jiao J, Li XS, Schugar RC, Strauch CM, Wang Z, Brown JM, Hazen SL, Bokulich NA, Ruggles KV, Akimova T, Hancock WW, Blaser MJ. Loss of HDAC6 alters gut microbiota and worsens obesity. FASEB J 2018; 33:1098-1109. [PMID: 30102568 DOI: 10.1096/fj.201701586r] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Alterations in gut microbiota are known to affect intestinal inflammation and obesity. Antibiotic treatment can affect weight gain by elimination of histone deacetylase (HDAC) inhibitor-producing microbes, which are anti-inflammatory by augmenting regulatory T (Treg) cells. We asked whether mice that lack HDAC6 and have potent suppressive Treg cells are protected from microbiota-induced accelerated weight gain. We crossed wild-type and HDAC6-deficient mice and subjected the offspring to perinatal penicillin, inducing weight gain via microbiota disturbance. We observed that male HDAC6-deficient mice were not protected and developed profoundly accelerated weight gain. The antibiotic-exposed HDAC6-deficient mice showed a mixed immune phenotype with increased CD4+ and CD8+ T-cell activation yet maintained the enhanced Treg cell-suppressive function phenotype characteristic of HDAC6-deficient mice. 16S rRNA sequencing of mouse fecal samples reveals that their microbiota diverged with time, with HDAC6 deletion altering microbiome composition. On a high-fat diet, HDAC6-deficient mice were depleted in representatives of the S24-7 family and Lactobacillus but enriched with Bacteroides and Parabacteroides; these changes are associated with obesity. Our findings further our understanding of the influence of HDACs on microbiome composition and are important for the development of HDAC6 inhibitors in the treatment of human diseases.-Lieber, A. D., Beier, U. H., Xiao, H., Wilkins, B. J., Jiao, J., Li, X. S., Schugar, R. C., Strauch, C. M., Wang, Z., Brown, J. M., Hazen, S. L., Bokulich, N. A., Ruggles, K. V., Akimova, T., Hancock, W. W., Blaser, M. J. Loss of HDAC6 alters gut microbiota and worsens obesity.
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Affiliation(s)
- Arnon D Lieber
- Department of Medicine New York University School of Medicine (NYUSM), New York, New York, USA.,Department of Microbiology, New York University School of Medicine (NYUSM), New York, New York, USA
| | - Ulf H Beier
- Division of Nephrology, Department of Pediatrics University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Haiyan Xiao
- Division of Nephrology, Department of Pediatrics University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Benjamin J Wilkins
- Division of Anatomic Pathology, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jing Jiao
- Division of Nephrology, Department of Pediatrics University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Xinmin S Li
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Rebecca C Schugar
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Christopher M Strauch
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Zeneng Wang
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - J Mark Brown
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Stanley L Hazen
- Department of Cellular and Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Nicholas A Bokulich
- Department of Medicine New York University School of Medicine (NYUSM), New York, New York, USA.,Department of Microbiology, New York University School of Medicine (NYUSM), New York, New York, USA
| | - Kelly V Ruggles
- Applied Bioinformatics Laboratories, New York University School of Medicine (NYUSM), New York, New York, USA.,Division of Translational Medicine, Department of Medicine, New York University School of Medicine (NYUSM), New York, New York, USA
| | - Tatiana Akimova
- Division of Transplant Immunology, Department of Pathology and Laboratory Medicine, Biesecker Center for Pediatric Liver Disease, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Wayne W Hancock
- Division of Transplant Immunology, Department of Pathology and Laboratory Medicine, Biesecker Center for Pediatric Liver Disease, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Martin J Blaser
- Department of Medicine New York University School of Medicine (NYUSM), New York, New York, USA.,Department of Microbiology, New York University School of Medicine (NYUSM), New York, New York, USA.,New York Harbor Department of Veterans Affairs Medical Center, New York, New York, USA
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Zhang XS, Li J, Krautkramer KA, Badri M, Battaglia T, Borbet TC, Koh H, Ng S, Sibley RA, Li Y, Pathmasiri W, Jindal S, Shields-Cutler RR, Hillmann B, Al-Ghalith GA, Ruiz VE, Livanos A, van 't Wout AB, Nagalingam N, Rogers AB, Sumner SJ, Knights D, Denu JM, Li H, Ruggles KV, Bonneau R, Williamson RA, Rauch M, Blaser MJ. Antibiotic-induced acceleration of type 1 diabetes alters maturation of innate intestinal immunity. eLife 2018; 7:37816. [PMID: 30039798 PMCID: PMC6085123 DOI: 10.7554/elife.37816] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 07/12/2018] [Indexed: 12/18/2022] Open
Abstract
The early-life intestinal microbiota plays a key role in shaping host immune system development. We found that a single early-life antibiotic course (1PAT) accelerated type 1 diabetes (T1D) development in male NOD mice. The single course had deep and persistent effects on the intestinal microbiome, leading to altered cecal, hepatic, and serum metabolites. The exposure elicited sex-specific effects on chromatin states in the ileum and liver and perturbed ileal gene expression, altering normal maturational patterns. The global signature changes included specific genes controlling both innate and adaptive immunity. Microbiome analysis revealed four taxa each that potentially protect against or accelerate T1D onset, that were linked in a network model to specific differences in ileal gene expression. This simplified animal model reveals multiple potential pathways to understand pathogenesis by which early-life gut microbiome perturbations alter a global suite of intestinal responses, contributing to the accelerated and enhanced T1D development.
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Affiliation(s)
- Xue-Song Zhang
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Jackie Li
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Kimberly A Krautkramer
- Department of Biomolecular Chemistry, Wisconsin Institute for Discovery, University of Wisconsin School of Medicine and Public Health, Madison, United States
| | - Michelle Badri
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States.,Center for Data Science, New York University, New York, United States
| | - Thomas Battaglia
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Timothy C Borbet
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Hyunwook Koh
- Department of Population Health, New York University Langone Medical Center, New York, United States
| | - Sandy Ng
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Rachel A Sibley
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Yuanyuan Li
- Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, Kannapolis, United States
| | - Wimal Pathmasiri
- Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, Kannapolis, United States
| | - Shawn Jindal
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Robin R Shields-Cutler
- Computer Science and Engineering, BioTechnology Institute, University of Minnesota, St. Paul, United States
| | - Ben Hillmann
- Computer Science and Engineering, BioTechnology Institute, University of Minnesota, St. Paul, United States
| | - Gabriel A Al-Ghalith
- Computer Science and Engineering, BioTechnology Institute, University of Minnesota, St. Paul, United States
| | - Victoria E Ruiz
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Alexandra Livanos
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Angélique B van 't Wout
- Janssen Prevention Center London, Janssen Pharmaceutical Companies of Johnson and Johnson, London, United Kingdom
| | - Nabeetha Nagalingam
- Janssen Prevention Center London, Janssen Pharmaceutical Companies of Johnson and Johnson, London, United Kingdom
| | - Arlin B Rogers
- Department of Biomedical Sciences, Cummings School of Veterinary Medicine, Tufts University, North Grafton, United States
| | - Susan Jenkins Sumner
- Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, Kannapolis, United States
| | - Dan Knights
- Computer Science and Engineering, BioTechnology Institute, University of Minnesota, St. Paul, United States
| | - John M Denu
- Department of Biomolecular Chemistry, Wisconsin Institute for Discovery, University of Wisconsin School of Medicine and Public Health, Madison, United States
| | - Huilin Li
- Department of Population Health, New York University Langone Medical Center, New York, United States
| | - Kelly V Ruggles
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States
| | - Richard Bonneau
- Center for Data Science, New York University, New York, United States
| | - R Anthony Williamson
- Janssen Prevention Center London, Janssen Pharmaceutical Companies of Johnson and Johnson, London, United Kingdom
| | - Marcus Rauch
- Janssen Prevention Center London, Janssen Pharmaceutical Companies of Johnson and Johnson, London, United Kingdom
| | - Martin J Blaser
- Department of Medicine, New York University Langone Medical Center, New York, United States.,Human Microbiome Program, New York University Langone Medical Center, New York, United States.,Department of Microbiology, New York Uniersity Langone Medical Center, New York, United States
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Devlin JC, Battaglia T, Blaser MJ, Ruggles KV. WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data. BMC Genomics 2018; 19:493. [PMID: 29940835 PMCID: PMC6019711 DOI: 10.1186/s12864-018-4870-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 06/14/2018] [Indexed: 12/27/2022] Open
Abstract
Background Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research. Results We developed the Workflow Hub for Automated Metagenomic Exploration (WHAM!) as a web-based interactive tool capable of user-directed data visualization and statistical analysis of annotated shotgun metagenomic and metatranscriptomic data sets. WHAM! includes exploratory and hypothesis-based gene and taxa search modules for visualizing differences in microbial taxa and gene family expression across experimental groups, and for creating publication quality figures without the need for command line interface or in-house bioinformatics. Conclusions WHAM! is an interactive and customizable tool for downstream metagenomic and metatranscriptomic analysis providing a user-friendly interface allowing for easy data exploration by microbiome and ecological experts to facilitate discovery in multi-dimensional and large-scale data sets. Electronic supplementary material The online version of this article (10.1186/s12864-018-4870-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joseph C Devlin
- Sackler Institute of Graduate Biomedical Sciences, New York School of Medicine, New York, NY, USA
| | - Thomas Battaglia
- Division of Translational Medicine, Department of Medicine, New York School of Medicine, New York, NY, USA.,Department of Microbiology, New York School of Medicine, New York, NY, USA
| | - Martin J Blaser
- Division of Translational Medicine, Department of Medicine, New York School of Medicine, New York, NY, USA.,Department of Microbiology, New York School of Medicine, New York, NY, USA
| | - Kelly V Ruggles
- Sackler Institute of Graduate Biomedical Sciences, New York School of Medicine, New York, NY, USA. .,Division of Translational Medicine, Department of Medicine, New York School of Medicine, New York, NY, USA. .,Applied Bioinformatics Laboratories, New York School of Medicine, New York, NY, USA.
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46
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Mundt F, Rajput S, Li S, Ruggles KV, Mooradian AD, Mertins P, Gillette MA, Krug K, Guo Z, Hoog J, Erdmann-Gilmore P, Primeau T, Huang S, Edwards DP, Wang X, Wang X, Kawaler E, Mani DR, Clauser KR, Gao F, Luo J, Davies SR, Johnson GL, Huang KL, Yoon CJ, Ding L, Fenyö D, Ellis MJ, Townsend RR, Held JM, Carr SA, Ma CX. Mass Spectrometry-Based Proteomics Reveals Potential Roles of NEK9 and MAP2K4 in Resistance to PI3K Inhibition in Triple-Negative Breast Cancers. Cancer Res 2018; 78:2732-2746. [PMID: 29472518 PMCID: PMC5955814 DOI: 10.1158/0008-5472.can-17-1990] [Citation(s) in RCA: 39] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 01/09/2018] [Accepted: 02/19/2018] [Indexed: 12/20/2022]
Abstract
Activation of PI3K signaling is frequently observed in triple-negative breast cancer (TNBC), yet PI3K inhibitors have shown limited clinical activity. To investigate intrinsic and adaptive mechanisms of resistance, we analyzed a panel of patient-derived xenograft models of TNBC with varying responsiveness to buparlisib, a pan-PI3K inhibitor. In a subset of patient-derived xenografts, resistance was associated with incomplete inhibition of PI3K signaling and upregulated MAPK/MEK signaling in response to buparlisib. Outlier phosphoproteome and kinome analyses identified novel candidates functionally important to buparlisib resistance, including NEK9 and MAP2K4. Knockdown of NEK9 or MAP2K4 reduced both baseline and feedback MAPK/MEK signaling and showed synthetic lethality with buparlisib in vitro A complex in/del frameshift in PIK3CA decreased sensitivity to buparlisib via NEK9/MAP2K4-dependent mechanisms. In summary, our study supports a role for NEK9 and MAP2K4 in mediating buparlisib resistance and demonstrates the value of unbiased omic analyses in uncovering resistance mechanisms to targeted therapy.Significance: Integrative phosphoproteogenomic analysis is used to determine intrinsic resistance mechanisms of triple-negative breast tumors to PI3K inhibition. Cancer Res; 78(10); 2732-46. ©2018 AACR.
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Affiliation(s)
- Filip Mundt
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Sandeep Rajput
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Shunqiang Li
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Kelly V Ruggles
- Department of Medicine, New York University Langone Health, New York, New York
| | - Arshag D Mooradian
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Philipp Mertins
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Proteomics Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Society, Berlin, Germany and Berlin Institute of Health, Berlin, Germany
| | - Michael A Gillette
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Karsten Krug
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Zhanfang Guo
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jeremy Hoog
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Petra Erdmann-Gilmore
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Tina Primeau
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Shixia Huang
- Dan L. Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Dean P Edwards
- Dan L. Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - Xiaowei Wang
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Xuya Wang
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University Langone Health, New York, New York
| | - Emily Kawaler
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University Langone Health, New York, New York
| | - D R Mani
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Karl R Clauser
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Feng Gao
- Division of Public Health Science, Siteman Cancer Center Biostatistics Core, Washington University School of Medicine, St. Louis, Missouri
| | - Jingqin Luo
- Division of Public Health Science, Siteman Cancer Center Biostatistics Core, Washington University School of Medicine, St. Louis, Missouri
| | - Sherri R Davies
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Gary L Johnson
- Department of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Kuan-Lin Huang
- Department of Medicine, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Christopher J Yoon
- Department of Medicine, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Li Ding
- Department of Medicine, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - David Fenyö
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University Langone Health, New York, New York
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center, Dan L. Duncan Comprehensive Cancer Center and Departments of Medicine and Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas
| | - R Reid Townsend
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jason M Held
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Steven A Carr
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
| | - Cynthia X Ma
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
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Abstract
OBJECTIVES We identified the prevalence of nonmedical prescription drug use and its relationship to heroin and injection drug use in 4 nationally representative samples of adolescents. METHODS We used the most recent data (2009-2015) from the Youth Risk Behavior Surveillance System (Ntotal= 61,132). Prevalence rates and 95% confidence intervals for prescription drug misuse, heroin use, and injection drug use were calculated across time points, sex, and race/ethnicity subgroups. Using odds ratios, we determined the likelihood of youth reporting nonmedical prescription drug use also reporting heroin and drug injection. RESULTS In 2015, one in 6 adolescents reported recent prescription drug misuse. High rates of nonmedical prescription drug use persisted or increased among Hispanic boys, black boys, and "other" youth, while declining among white youth. Youth who used prescription drugs nonmedically at least once were 17.5 times more likely to have used heroin (CI: 13.7, 22.4) and 14.6 times more likely to have injected drugs (CI: 11.2, 19.2) in their lifetime. CONCLUSIONS Public health programming focused on reducing prescription drug misuse also may reduce youth engagement in heroin and/or injection drug use. Preventive efforts to support communities of color in reducing rates of prescription drug misuse are crucial.
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Affiliation(s)
- Sonali Rajan
- Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, USA
| | - Kelly V. Ruggles
- Department of Medicine, New York University Langone Medical Center, New York, NY, USA
| | - Honoria Guarino
- National Development and Research Institutes, Incorporated, New York, NY, USA
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48
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Jessell L, Mateu-Gelabert P, Guarino H, Vakharia SP, Syckes C, Goodbody E, Ruggles KV, Friedman S. Sexual Violence in the Context of Drug Use Among Young Adult Opioid Users in New York City. J Interpers Violence 2017; 32:2929-2954. [PMID: 26240068 PMCID: PMC4740284 DOI: 10.1177/0886260515596334] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Drug and alcohol use have been associated with increased risk for sexual violence, but there is little research on sexual violence within the context of drug use among young adult opioid users. The current mixed-methods study explores young adult opioid users' sexual experiences in the context of their drug use. Forty-six New York City young adults (ages 18-32) who reported lifetime nonmedical use of prescription opioids (POs) completed in-depth, semistructured interviews, and 164 (ages 18-29) who reported heroin and/or nonmedical PO use in the past 30 days completed structured assessments that inquired about their drug use and sexual behavior and included questions specific to sexual violence. Participants reported frequent incidents of sexual violence experienced both personally and by their opioid using peers. Participants described sexual violence, including sexual assault, as occurring within a context characterized by victimization of users who were unconscious as a result of substance use, implicit and explicit exchanges of sex for drugs and/or money that increased risk for sexual violence, negative sexual perceptions ascribed to drug users, and participants' own internalized stigma. Recommendations to reduce sexual violence among young adult opioid users include education for users and service providers on the risk of involvement in sexual violence within drug using contexts and efforts to challenge perceptions of acceptability regarding sexual violence.
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Affiliation(s)
- Lauren Jessell
- National Development & Research Institutes, Inc., New York, USA
| | | | - Honoria Guarino
- National Development & Research Institutes, Inc., New York, USA
| | | | | | | | - Kelly V. Ruggles
- National Development & Research Institutes, Inc., New York, USA
- New York University Medical Center, Department of Population Health, New York City, USA
| | - Sam Friedman
- National Development & Research Institutes, Inc., New York, USA
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Ruggles KV, Patel AR, Schensul S, Schensul J, Nucifora K, Zhou Q, Bryant K, Braithwaite RS. Betting on the fastest horse: Using computer simulation to design a combination HIV intervention for future projects in Maharashtra, India. PLoS One 2017; 12:e0184179. [PMID: 28873452 PMCID: PMC5584966 DOI: 10.1371/journal.pone.0184179] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2016] [Accepted: 08/18/2017] [Indexed: 11/18/2022] Open
Abstract
Objective To inform the design of a combination intervention strategy targeting HIV-infected unhealthy alcohol users in Maharashtra, India, that could be tested in future randomized control trials. Methods Using probabilistic compartmental simulation modeling we compared intervention strategies targeting HIV-infected unhealthy alcohol users on antiretroviral therapy (ART) in Maharashtra, India. We tested interventions targeting four behaviors (unhealthy alcohol consumption, risky sexual behavior, depression and antiretroviral adherence), in three formats (individual, group based, community) and two durations (shorter versus longer). A total of 5,386 possible intervention combinations were tested across the population for a 20-year time horizon and intervention bundles were narrowed down based on incremental cost-effectiveness analysis using a two-step probabilistic uncertainty analysis approach. Results Taking into account uncertainty in transmission variables and intervention cost and effectiveness values, we were able to reduce the number of possible intervention combinations to be used in a randomized control trial from over 5,000 to less than 5. The most robust intervention bundle identified was a combination of three interventions: long individual alcohol counseling; weekly Short Message Service (SMS) adherence counseling; and brief sex risk group counseling. Conclusions In addition to guiding policy design, simulation modeling of HIV transmission can be used as a preparatory step to trial design, offering a method for intervention pre-selection at a reduced cost.
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Affiliation(s)
- Kelly V. Ruggles
- Department of Medicine, New York University School of Medicine, New York, NY, United States of America
- * E-mail:
| | - Anik R. Patel
- Department of Experimental Medicine, University of British Columbia Faculty of Medicine, Vancouver, BC, Canada
| | - Stephen Schensul
- Department of Community Medicine and Health Care, University of Connecticut Health Center, Farmington, CT, United States of America
| | - Jean Schensul
- Institute for Community Research, Hartford, CT, United States of America
| | - Kimberly Nucifora
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
| | - Qinlian Zhou
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
| | - Kendall Bryant
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States of America
| | - R. Scott Braithwaite
- Department of Population Health, New York University School of Medicine, New York, NY, United States of America
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50
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Tetz GV, Ruggles KV, Zhou H, Heguy A, Tsirigos A, Tetz V. Bacteriophages as potential new mammalian pathogens. Sci Rep 2017; 7:7043. [PMID: 28765534 PMCID: PMC5539208 DOI: 10.1038/s41598-017-07278-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 06/23/2017] [Indexed: 12/19/2022] Open
Abstract
Increased intestinal permeability and translocation of gut bacteria trigger various polyaetiological diseases associated with chronic inflammation and underlie a variety of poorly treatable pathologies. Previous studies have established a primary role of the microbiota composition and intestinal permeability in such pathologies. Using a rat model, we examined the effects of exposure to a bacteriophage cocktail on intestinal permeability and relative abundance of taxonomic units in the gut bacterial community. There was an increase in markers of impaired gut permeability, such as the lactulose/mannitol ratio, plasma endotoxin concentrations, and serum levels of inflammation-related cytokines, following the bacteriophage challenge. We observed significant differences in the alpha diversity of faecal bacterial species and found that richness and diversity index values increased following the bacteriophage challenge. There was a reduction in the abundance of Blautia, Catenibacterium, Lactobacillus, and Faecalibacterium species and an increase in Butyrivibrio, Oscillospira and Ruminococcus after bacteriophage administration. These findings provide novel insights into the role of bacteriophages as potentially pathogenic for mammals and their possible implication in the development of diseases associated with increased intestinal permeability.
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Affiliation(s)
- George V Tetz
- Human Microbiology Institute, New York, NY, 10027, USA.
| | - Kelly V Ruggles
- Department of Medicine, New York University School of Medicine, New York, NY, 10016, USA.,Applied Bioinformatics Laboratories, New York University Medical Center, New York, NY, 10016, USA
| | - Hua Zhou
- Applied Bioinformatics Laboratories, New York University Medical Center, New York, NY, 10016, USA
| | - Adriana Heguy
- Department of Pathology, New York University School of Medicine, New York, NY, 10016, USA.,Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY, 10016, USA.,Genome Technology Center, Division of Advanced Research Technologies, NYU School of Medicine, New York, NY, 10016, USA
| | - Aristotelis Tsirigos
- Applied Bioinformatics Laboratories, New York University Medical Center, New York, NY, 10016, USA.,Department of Pathology, New York University School of Medicine, New York, NY, 10016, USA.,Laura and Isaac Perlmutter Cancer Center, New York University School of Medicine, New York, NY, 10016, USA
| | - Victor Tetz
- Human Microbiology Institute, New York, NY, 10027, USA
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