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Gustafson JA, Gibson SB, Damaraju N, Zalusky MPG, Hoekzema K, Twesigomwe D, Yang L, Snead AA, Richmond PA, De Coster W, Olson ND, Guarracino A, Li Q, Miller AL, Goffena J, Anderson Z, Storz SHR, Ward SA, Sinha M, Gonzaga-Jauregui C, Clarke WE, Basile AO, Corvelo A, Reeves C, Helland A, Musunuri RL, Revsine M, Patterson KE, Paschal CR, Zakarian C, Goodwin S, Jensen TD, Robb E, McCombie WR, Sedlazeck FJ, Zook JM, Montgomery SB, Garrison E, Kolmogorov M, Schatz MC, McLaughlin RN, Dashnow H, Zody MC, Loose M, Jain M, Eichler EE, Miller DE. Nanopore sequencing of 1000 Genomes Project samples to build a comprehensive catalog of human genetic variation. medRxiv 2024:2024.03.05.24303792. [PMID: 38496498 PMCID: PMC10942501 DOI: 10.1101/2024.03.05.24303792] [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] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Less than half of individuals with a suspected Mendelian condition receive a precise molecular diagnosis after comprehensive clinical genetic testing. Improvements in data quality and costs have heightened interest in using long-read sequencing (LRS) to streamline clinical genomic testing, but the absence of control datasets for variant filtering and prioritization has made tertiary analysis of LRS data challenging. To address this, the 1000 Genomes Project ONT Sequencing Consortium aims to generate LRS data from at least 800 of the 1000 Genomes Project samples. Our goal is to use LRS to identify a broader spectrum of variation so we may improve our understanding of normal patterns of human variation. Here, we present data from analysis of the first 100 samples, representing all 5 superpopulations and 19 subpopulations. These samples, sequenced to an average depth of coverage of 37x and sequence read N50 of 54 kbp, have high concordance with previous studies for identifying single nucleotide and indel variants outside of homopolymer regions. Using multiple structural variant (SV) callers, we identify an average of 24,543 high-confidence SVs per genome, including shared and private SVs likely to disrupt gene function as well as pathogenic expansions within disease-associated repeats that were not detected using short reads. Evaluation of methylation signatures revealed expected patterns at known imprinted loci, samples with skewed X-inactivation patterns, and novel differentially methylated regions. All raw sequencing data, processed data, and summary statistics are publicly available, providing a valuable resource for the clinical genetics community to discover pathogenic SVs.
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Affiliation(s)
- Jonas A. Gustafson
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Sophia B. Gibson
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Nikhita Damaraju
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Miranda PG Zalusky
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David Twesigomwe
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lei Yang
- Pacific Northwest Research Institute, Seattle, WA, USA
| | | | | | - Wouter De Coster
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Nathan D. Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Human Technopole, Milan, Italy
| | - Qiuhui Li
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Angela L. Miller
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Joy Goffena
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Zachery Anderson
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Sophie HR Storz
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Sydney A. Ward
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Maisha Sinha
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Claudia Gonzaga-Jauregui
- International Laboratory for Human Genome Research, Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México
| | - Wayne E. Clarke
- New York Genome Center, New York, NY, USA
- Outlier Informatics Inc., Saskatoon, SK, Canada
| | | | | | | | | | | | - Mahler Revsine
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | | | - Cate R. Paschal
- Department of Laboratories, Seattle Children’s Hospital, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Christina Zakarian
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sara Goodwin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Esther Robb
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | | | | | | | | | - Fritz J. Sedlazeck
- Human Genome Sequencing Center Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Justin M. Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mikhail Kolmogorov
- Cancer Data Science Laboratory, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Richard N. McLaughlin
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
- Pacific Northwest Research Institute, Seattle, WA, USA
| | - Harriet Dashnow
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Matt Loose
- Deep Seq, School of Life Sciences, University of Nottingham, Nottingham, England
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Khoury College of Computer Sciences, Northeastern University, Boston, MA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Danny E. Miller
- Division of Genetic Medicine, Department of Pediatrics, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
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Guo Q, Zhang J, Parikh K, Brinkley A, Lin S, Zakarian C, Pernet O, Shimizu S, Khamaikawin W, Hacke K, Kasahara N, An DS. In vivo selection of anti-HIV-1 gene-modified human hematopoietic stem/progenitor cells to enhance engraftment and HIV-1 inhibition. Mol Ther 2024; 32:384-394. [PMID: 38087779 PMCID: PMC10862071 DOI: 10.1016/j.ymthe.2023.12.007] [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] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/17/2023] [Accepted: 12/08/2023] [Indexed: 12/26/2023] Open
Abstract
Hematopoietic stem/progenitor cell (HSPC)-based anti-HIV-1 gene therapy holds great promise to eradicate HIV-1 or to provide long-term remission through a continuous supply of anti-HIV-1 gene-modified cells without ongoing antiretroviral therapy. However, achieving sufficient engraftment levels of anti-HIV gene-modified HSPC to provide therapeutic efficacy has been a major limitation. Here, we report an in vivo selection strategy for anti-HIV-1 gene-modified HSPC by introducing 6-thioguanine (6TG) chemoresistance through knocking down hypoxanthine-guanine phosphoribosyl transferase (HPRT) expression using RNA interference (RNAi). We developed a lentiviral vector capable of co-expressing short hairpin RNA (shRNA) against HPRT alongside two anti-HIV-1 genes: shRNA targeting HIV-1 co-receptor CCR5 and a membrane-anchored HIV-1 fusion inhibitor, C46, for efficient in vivo selection of anti-HIV-1 gene-modified human HSPC. 6TG-mediated preconditioning and in vivo selection significantly enhanced engraftment of HPRT-knockdown anti-HIV-1 gene-modified cells (>2-fold, p < 0.0001) in humanized bone marrow/liver/thymus (huBLT) mice. Viral load was significantly reduced (>1 log fold, p < 0.001) in 6TG-treated HIV-1-infected huBLT mice compared to 6TG-untreated mice. We demonstrated that 6TG-mediated preconditioning and in vivo selection considerably improved engraftment of HPRT-knockdown anti-HIV-1 gene-modified HSPC and repopulation of anti-HIV-1 gene-modified hematopoietic cells in huBLT mice, allowing for efficient HIV-1 inhibition.
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Affiliation(s)
- Qi Guo
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Jian Zhang
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Keval Parikh
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Alexander Brinkley
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Samantha Lin
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Christina Zakarian
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Olivier Pernet
- Maternal, Child, and Adolescent Center for Infectious Diseases, University of Southern California, Los Angeles, CA 90089, USA
| | - Saki Shimizu
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA
| | - Wannisa Khamaikawin
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA; Faculty of Medicine, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand
| | - Katrin Hacke
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Phoenix, AZ 85054, USA
| | - Noriyuki Kasahara
- UCSF, Neurological Surgery, Radiation Oncology, San Francisco, CA 94158, USA
| | - Dong Sung An
- UCLA AIDS Institute, UCLA, Los Angeles, CA 90024, USA; UCLA School of Nursing, UCLA, Los Angeles, CA 90095, USA.
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Tian J, Dang H, O'Laco KA, Song M, Tiu BC, Gilles S, Zakarian C, Kaufman DL. Homotaurine Treatment Enhances CD4 + and CD8 + Regulatory T Cell Responses and Synergizes with Low-Dose Anti-CD3 to Enhance Diabetes Remission in Type 1 Diabetic Mice. Immunohorizons 2019; 3:498-510. [PMID: 31636084 PMCID: PMC6823932 DOI: 10.4049/immunohorizons.1900019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 10/02/2019] [Indexed: 12/16/2022] Open
Abstract
Immune cells express γ-aminobutyric acid receptors (GABA-R), and GABA administration can inhibit effector T cell responses in models of autoimmune disease. The pharmacokinetic properties of GABA, however, may be suboptimal for clinical applications. The amino acid homotaurine is a type A GABA-R (GABAA-R) agonist with good pharmacokinetics and appears safe for human consumption. In this study, we show that homotaurine inhibits in vitro T cell proliferation to a similar degree as GABA but at lower concentrations. In vivo, oral homotaurine treatment had a modest ability to reverse hyperglycemia in newly hyperglycemic NOD mice but was ineffective after the onset of severe hyperglycemia. In severely diabetic NOD mice, the combination of homotaurine and low-dose anti-CD3 treatment significantly increased 1) disease remission, 2) the percentages of splenic CD4+ and CD8+ regulatory T cells compared with anti-CD3 alone, and 3) the frequencies of CD4+ and CD8+ regulatory T cells in the pancreatic lymph nodes compared with homotaurine monotherapy. Histological examination of their pancreata provided no evidence of the large-scale GABAA-R agonist–mediated replenishment of islet β-cells that has been reported by others. However, we did observe a few functional islets in mice that received combined therapy. Thus, GABAA-R activation enhanced CD4+ and CD8+ regulatory T cell responses following the depletion of effector T cells, which was associated with the preservation of some functional islets. Finally, we observed that homotaurine treatment enhanced β-cell replication and survival in a human islet xenograft model. Hence, GABAA-R agonists, such as homotaurine, are attractive candidates for testing in combination with other therapeutic agents in type 1 diabetes clinical trials.
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Affiliation(s)
- Jide Tian
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Hoa Dang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Karen Anne O'Laco
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Min Song
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Bryan-Clement Tiu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Spencer Gilles
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Christina Zakarian
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
| | - Daniel L Kaufman
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA 90095
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Tosello B, Blanc J, Kelway C, Pellegrin V, Quarello E, Comte F, Zakarian C, D'Ercole C. [Medical simulation as a tool in the training of perinatal professionals]. ACTA ACUST UNITED AC 2018; 46:530-539. [PMID: 29776841 DOI: 10.1016/j.gofs.2018.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Indexed: 11/29/2022]
Abstract
Though technology plays an increasingly important role in modern health systems, human performance remains a major determinant of safety, effectiveness and efficiency of patient care. This is especially true in the delivery room. Thus, the training of professionals must aim not only for the acquisition of theory and practical skills on an individual basis, but also for the learning of teamwork systematically. Training health professionals with simulation enhances their theoretical knowledge and meets formal requirements in literacy, technical skills and communication. Therefore, we intend to explore how, in perinatal care, training with simulation is actually a key teaching tool in initial education and in perpetuation of knowledge. We will approach three main aspects: individual, collective (team) and the impact of simulation in medical practice. The choice of this educational strategy improves the clinical skills that are required for optimal performance in complex, unpredictable and high-stake environments such as the delivery room. Nonetheless, the long term clinical impact of simulation and whether it's modalities, technical or not, are beneficial to the mother and the newborn are areas still to be explored.
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Affiliation(s)
- B Tosello
- Service de médecine néonatale, hôpital Nord, AP-HM, chemin des Bourrely, 13015 Marseille, France; UMR 7268 ADÉS, faculté de médecine de marseille, Aix-Marseille université-EFS-CNRS, 51, boulevard Pierre-Dramard, 13344 Marseille cedex 15, France.
| | - J Blanc
- Service de gynécologie-obstétrique, hôpital Nord, AP-HM, chemin des Bourrely, 13015 Marseille, France; EA 3279 - Public Health, Chronic Diseases and Quality of Life - Research Unit, Aix-Marseille université, 13284 Marseille, France
| | - C Kelway
- Service d'anesthésie-réanimation, hôpital de la Conception, AP-HM, 147, boulevard Baille, 13005 Marseille, France
| | - V Pellegrin
- Service d'anesthésie-réanimation, hôpital de la Conception, AP-HM, 147, boulevard Baille, 13005 Marseille, France
| | - E Quarello
- Institut de médecine de la reproduction, 6, rue Rocca, 13008 Marseille, France; Unité d'échographie et de diagnostic prénatal, hôpital Saint-Joseph, 26, boulevard de Louvain, 13285 Marseille cedex 08, France
| | - F Comte
- École universitaire de Maïeutique Marseille Méditerranée, Aix-Marseille université, boulevard Pierre-Dramard, 13015 Marseille, France
| | - C Zakarian
- École universitaire de Maïeutique Marseille Méditerranée, Aix-Marseille université, boulevard Pierre-Dramard, 13015 Marseille, France
| | - C D'Ercole
- Service de gynécologie-obstétrique, hôpital Nord, AP-HM, chemin des Bourrely, 13015 Marseille, France
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