检索结果-内蒙古大学图书馆

Author Correction: π-HuB: the proteomic navigator of the human body

Nature 2025年第8046期637卷 E22页

作者： Fuchu He Ruedi Aebersold Mark S Baker Xiuwu Bian Xiaochen Bo Daniel W Chan Cheng Chang Luonan Chen Xiangmei Chen Yu-Ju Chen Heping Cheng Ben C Collins Fernando Corrales Jürgen Cox Weinan E Jennifer E Van Eyk Jia Fan Pouya Faridi Daniel Figeys George Fu Gao Wen Gao Zu-Hua Gao Keisuke Goda Wilson Wen Bin Goh Dongfeng Gu Changjiang Guo Tiannan Guo Yuezhong He Albert J R Heck Henning Hermjakob Tony Hunter Narayanan Gopalakrishna Iyer Ying Jiang Connie R Jimenez Lokesh Joshi Neil L Kelleher Ming Li Yang Li Qingsong Lin Cui Hua Liu Fan Liu Guang-Hui Liu Yansheng Liu Zhihua Liu Teck Yew Low Ben Lu Matthias Mann Anming Meng Robert L Moritz Edouard Nice Guang Ning Gilbert S Omenn Christopher M Overall Giuseppe Palmisano Yaojin Peng Charles Pineau Terence Chuen Wai Poon Anthony W Purcell Jie Qiao Roger R Reddel Phillip J Robinson Paola Roncada Chris Sander Jiahao Sha Erwei Song Sanjeeva Srivastava Aihua Sun Siu Kwan Sze Chao Tang Liujun Tang Ruijun Tian Juan Antonio Vizcaíno Chanjuan Wang Chen Wang Xiaowen Wang Xinxing Wang Yan Wang Tobias Weiss Mathias Wilhelm Robert Winkler Bernd Wollscheid Limsoon Wong Linhai Xie Wei Xie Tao Xu Tianhao Xu Liying Yan Jing Yang Xiao Yang John Yates Tao Yun Qiwei Zhai Bing Zhang Hui Zhang Lihua Zhang Lingqiang Zhang Pingwen Zhang Yukui Zhang Yu Zi Zheng Qing Zhong Yunping Zhu State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. hefc@***. International Academy of Phronesis Medicine (Guangdong) Guangdong China. hefc@***. Department of Biology Institute of Molecular Systems Biology ETH Zurich Zurich Switzerland. aebersold@imsb.biol.ethz.ch. Macquarie Medical School Macquarie University Sydney New South Wales Australia. Institute of Pathology and Southwest Cancer Center Southwest Hospital Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology Ministry of Education of China Chongqing China. Institute of Health Service and Transfusion Medicine Beijing China. Department of Pathology and The Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University Baltimore MD USA. State Key Laboratory of Medical Proteomics Beijing Proteome Research Center National Center for Protein Sciences (Beijing) Beijing Institute of Lifeomics Beijing China. Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai China. Department of Nephrology First Medical Center of Chinese PLA General Hospital Nephrology Institute of the Chinese People's Liberation Army State Key Laboratory of Kidney Diseases National Clinical Research Center for Kidney Diseases Beijing Key Laboratory of Kidney Disease Research Beijing China. Institute of Chemistry Academia Sinica Taipei China. National Biomedical Imaging Center State Key Laboratory of Membrane Biology Institute of Molecular Medicine Peking-Tsinghua Center for Life Sciences College of Future Technology Peking University Beijing China. School of Biological Sciences Queen's University of Belfast Belfast UK. Functional Proteomics Laboratory Centro Nacional de Biotecnología-CSIC Madrid Spain. Computational Systems Biochemistry Research Group Ma

来源：评论

学校读者我要写书评

暂无评论

Author Correction: PGBD5 promotes site-specific oncogenic mutations in human tumors

引用

Nature genetics 2020年第11期52卷 1265页

作者： Anton G Henssen Richard Koche Jiali Zhuang Eileen Jiang Casie Reed Amy Eisenberg Eric Still Ian C MacArthur Elias Rodríguez-Fos Santiago Gonzalez Montserrat Puiggròs Andrew N Blackford Christopher E Mason Elisa de Stanchina Mithat Gönen Anne-Katrin Emde Minita Shah Kanika Arora Catherine Reeves Nicholas D Socci Elizabeth Perlman Cristina R Antonescu Charles W M Roberts Hanno Steen Elizabeth Mullen Stephen P Jackson David Torrents Zhiping Weng Scott A Armstrong Alex Kentsis Molecular Pharmacology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New York NY USA. Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany. Cancer Biology & Genetics Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New York NY USA. Program in Bioinformatics and Integrative Biology Department of Biochemistry and Molecular Pharmacology University of Massachusetts Medical School Worcester MA USA. Joint BSC-CRG-IRB Research Program in Computational Biology Barcelona Supercomputing Center (BSC-CNS) Barcelona Spain. The Wellcome Trust/Cancer Research UK Gurdon Institute University of Cambridge Cambridge UK. Institute for Computational Biomedicine Weill Cornell Medical College New York NY USA. Antitumor Assessment Core Facility Memorial Sloan Kettering Cancer Center New York NY USA. Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA. New York Genome Center New York NY USA. Bioinformatics Core Memorial Sloan Kettering Cancer Center New York NY USA. Northwestern University Feinberg School of Medicine Ann & Robert H. Lurie Children's Hospital of Chicago Chicago IL USA. Department of Pathology Memorial Sloan Kettering Cancer Center New York NY USA. Department of Oncology St. Jude Children's Research Hospital Memphis TN USA. Department of Pathology Boston Children's Hospital Boston MA USA. Department of Pediatric Oncology Dana-Farber Cancer Institute Boston MA USA. Department of Biochemistry University of Cambridge Cambridge UK. The Wellcome Trust Sanger Institute Hinxton Cambridge UK. Institució Catalana de Recerca i Estudis Avançats (ICREA) Barcelona Spain. Weill Cornell Medical College Cornell University New York NY USA. Department of Pediatrics Memorial Sloan Kettering Cancer Center New York NY USA. Molecular Pharmacology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New York

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evolution at the edge of expanding populations

arXiv

引用

arXiv 2017年

作者： Deforet, Maxime Carmona-Fontaine, Carlos Korolev, Kirill S. Xavier, Joao B. Sorbonne Université Centre National de la Recherche Rcientifique Laboratoire Jean Perrin LJP Paris75005 France Center for Genomics and Systems Biology Department of Biology New York University New York CityNY10003 United States Department of Physics Graduate Program in Bioinformatics Boston University BostonMA02215 Program in Computational Biology Memorial Sloan-Kettering Cancer Center New York CityNY10065 United States

Predicting evolution of expanding populations is critical to control biological threats such as invasive species and cancer metastasis. Expansion is primarily driven by reproduction and dispersal, but nature abounds with examples of evolution where organisms pay a reproductive cost to disperse faster. When does selection favor this 'survival of the fastest?' We searched for a simple rule, motivated by evolution experiments where swarming bacteria evolved into an hyperswarmer mutant which disperses ∼ 100% faster but pays a growth cost of ∼ 10% to make many copies of its flagellum. We analyzed a two-species model based on the Fisher equation to explain this observation: the population expansion rate (v) results from an interplay of growth (r) and dispersal (D) and is independent of the carrying capacity: v = 2 √rD. A mutant can take over the edge only if its expansion rate (v2) exceeds the expansion rate of the established species' (v1);this simple condition (v2> v1) determines the maximum cost in slower growth that a faster mutant can pay and still be able to take over. Numerical simulations and time-course experiments where we tracked evolution by imaging bacteria suggest that our findings are general: less favorable conditions delay but do not entirely prevent the success of the fastest. Thus, the expansion rate defines a traveling wave fitness, which could be combined with trade-offs to predict evolution of expanding populations. Copyright © 2017, The Authors. All rights reserved.

关键词： Bacteria

来源：评论

学校读者我要写书评

暂无评论

A clonal expression biomarker associates with lung cancer mortality (vol 25, pg 1540, 2019)

引用

NATURE MEDICINE 2020年第7期26卷 1148-1148页

作者： Biswas, Dhruva Birkbak, Nicolai J. Rosenthal, Rachel Hiley, Crispin T. Lim, Emilia L. Papp, Krisztian Boeing, Stefan Krzystanek, Marcin Djureinovic, Dijana La Fleur, Linnea Greco, Maria Doeme, Balazs Fillinger, Janos Brunnstrom, Hans Wu, Yin Moore, David A. Skrzypski, Marcin Abbosh, Christopher Litchfield, Kevin Al Bakir, Maise Watkins, Thomas B. K. Veeriah, Selvaraju Wilson, Gareth A. Jamal-Hanjani, Mariam Moldvay, Judit Botling, Johan Chinnaiyan, Arul M. Micke, Patrick Hackshaw, Allan Bartek, Jiri Csabai, Istvan Szallasi, Zoltan Herrero, Javier McGranahan, Nicholas Swanton, Charles Cancer Research UK Lung Cancer Centre of Excellence University College London Cancer Institute Paul O’Gorman Building London UK Bill Lyons Informatics Centre University College London Cancer Institute Paul O’Gorman Building London UK Cancer Evolution and Genome Instability Laboratory The Francis Crick Institute London UK Department of Molecular Medicine Aarhus University Aarhus Denmark Bioinformatics Research Centre Aarhus University Aarhus Denmark Department of Physics of Complex Systems ELTE Eötvös Loránd University Budapest Hungary Bioinformatics and Biostatistics The Francis Crick Institute London UK Danish Cancer Society Research Center Copenhagen Denmark Department of Immunology Genetics and Pathology Uppsala University Uppsala Sweden Genomics Equipment Park The Francis Crick Institute London UK Department of Tumor Biology National Korányi Institute of Pulmonology Semmelweis University Budapest Hungary Division of Thoracic Surgery Comprehensive Cancer Center Medical University of Vienna Vienna Austria Department of Thoracic Surgery National Institute of Oncology Semmelweis University Budapest Hungary Department of Pathology National Korányi Institute of Pulmonology Semmelweis University Budapest Hungary Department of Pathology National Institute of Oncology Budapest Hungary Lund University Laboratory Medicine Region Skåne Department of Clinical Sciences Lund Pathology Lund Sweden Department of Pathology UCL Cancer Institute London UK Department of Oncology and Radiotherapy Medical University of Gdansk Gdansk Poland SE-NAP Brain Metastasis Research Group 2nd Department of Pathology Semmelweis University Budapest Hungary Michigan Center for Translational Pathology University of Michigan Ann Arbor USA Department of Pathology University of Michigan Ann Arbor USA Rogel Cancer Center University of Michigan Ann Arbor USA Department of Urology University of Michigan Ann Arbor USA Howard Hughes Medical Institute University of Michigan An

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

引用

Nature communications 2020年第1期11卷 6232页

作者： Matthew H Bailey William U Meyerson Lewis Jonathan Dursi Liang-Bo Wang Guanlan Dong Wen-Wei Liang Amila Weerasinghe Shantao Li Yize Li Sean Kelso Gordon Saksena Kyle Ellrott Michael C Wendl David A Wheeler Gad Getz Jared T Simpson Mark B Gerstein Li Ding The McDonnell Genome Institute at Washington University St. Louis MO 63108 USA. Division of Oncology Department of Medicine Washington University School of Medicine St. Louis MO 63108 USA. Alvin J. Siteman Cancer Center Washington University School of Medicine St. Louis MO 63108 USA. Yale School of Medicine Yale University New Haven CT 06520 USA. Program in Computational Biology and Bioinformatics Yale University New Haven CT 06520 USA. Computational Biology Program Ontario Institute for Cancer Research Toronto ON M5G 0A3 Canada. The Hospital for Sick Children Toronto ON M5G 1X8 Canada. Broad Institute of MIT and Harvard Cambridge MA 02142 USA. Biomedical Engineering Oregon Health and Science University Portland OR 97239 USA. Department of Mathematics Washington University in St. Louis St. Louis MO 63130 USA. Department of Genetics Washington University School of Medicine St.Louis MO 63110 USA. Human Genome Sequencing Center Baylor College of Medicine Houston TX 77030 USA. Department of Molecular and Human Genetics Baylor College of Medicine Houston TX 77030 USA. Harvard Medical School Boston MA 02115 USA. Center for Cancer Research Massachusetts General Hospital Boston MA 02114 USA. Department of Pathology Massachusetts General Hospital Boston MA 02114 USA. Department of Computer Science University of Toronto Toronto ON M5S Canada. Program in Computational Biology and Bioinformatics Yale University New Haven CT 06520 USA. mark.gerstein@yale.edu. Department of Computer Science Yale University New Haven CT 06520 USA. mark.gerstein@yale.edu. Department of Molecular Biophysics and Biochemistry Yale University New Haven CT 06520 USA. mark.gerstein@yale.edu. The McDonnell Genome Institute at Washington University St. Louis MO 63108 USA. lding@wustl.edu. Division of Oncology Department of Medicine Washington University School of Medicine St. Louis MO 63108 USA. lding@wustl.edu. Alvin J. Siteman Cancer Center Wash

Correction to this paper has been published: https://***/10.1038/s41467-020-20128-w.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

引用

Microbiome 2018年第1期6卷 212页

作者： Justin D Silverman Heather K Durand Rachael J Bloom Sayan Mukherjee Lawrence A David Program in Computational Biology and Bioinformatics Duke University CIEMAS Room 2171 101 Science Drive Box 3382 Durham NC 27708 USA. Medical Scientist Training Program Duke University Durham NC 27708 USA. Center for Genomic and Computational Biology Duke University Durham NC 27708 USA. Department of Molecular Genetics and Microbiology Duke University Durham NC 27708 USA. University Program in Genetics and Genomics Duke University Durham NC 27708 USA. Departments of Statistical Science Mathematics Computer Science Biostatistics & Bioinformatics Duke University Durham NC 27708 USA. Program in Computational Biology and Bioinformatics Duke University CIEMAS Room 2171 101 Science Drive Box 3382 Durham NC 27708 USA. lawrence.david@duke.edu. Center for Genomic and Computational Biology Duke University Durham NC 27708 USA. lawrence.david@duke.edu. University Program in Genetics and Genomics Duke University Durham NC 27708 USA. lawrence.david@duke.edu. Department of Molecular Genetics and Microbiology Duke University Durham NC 27708 USA. lawrence.david@duke.edu.

AbstractFollowing publication of the original article [1], the authors noticed an error in the presentation of equations in the PDF version.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Functional annotation of chemical libraries across diverse biological processes (vol 13, pg 982, 2017)

引用

NATURE CHEMICAL biology 2017年第12期13卷 1286-1286页

作者： Piotrowski, Jeff S. Li, Sheena C. Deshpande, Raamesh Simpkins, Scott W. Nelson, Justin Yashiroda, Yoko Barber, Jacqueline M. Safizadeh, Hamid Wilson, Erin Okada, Hiroki Gebre, Abraham A. Kubo, Karen Torres, Nikko P. LeBlanc, Marissa A. Andrusiak, Kerry Okamoto, Reika Yoshimura, Mami DeRango-Adem, Eva van Leeuwen, Jolanda Shirahige, Katsuhiko Baryshnikova, Anastasia Brown, Grant W. Hirano, Hiroyuki Costanzo, Michael Andrews, Brenda Ohya, Yoshikazu Osada, Hiroyuki Yoshida, Minoru Myers, Chad L. Boone, Charles RIKEN Center for Sustainable Resource Science Wako Saitama Japan Department of Computer Science and Engineering University of Minnesota-Twin Cities Minneapolis Minnesota USA Bioinformatics and Computational Biology Program University of Minnesota-Twin Cities Minneapolis Minnesota USA Department of Electrical and Computer Engineering University of Minnesota-Twin Cities Minneapolis Minnesota USA Department of Integrated Biosciences Graduate School of Frontier Sciences University of Tokyo Kashiwa Chiba Japan Donnelly Centre University of Toronto Toronto Ontario Canada Institute of Molecular and Cellular Biosciences Center for Epigenetic Disease University of Tokyo Bunkyo-ku Tokyo Japan Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton New Jersey USA Department of Biochemistry University of Toronto Toronto Ontario Canada.

Chemical-genetic approaches offer the potential for unbiased functional annotation of chemical libraries. Mutations can alter the response of cells in the presence of a compound, revealing chemical-genetic interactions that can elucidate a compound’s mode of action. We developed a highly parallel, unbiased yeast chemical-genetic screening system involving three key components. First, in a drug-sensitive genetic background, we constructed an optimized diagnostic mutant collection that is predictive for all major yeast biological processes. Second, we implemented a multiplexed (768-plex) barcode-sequencing protocol, enabling the assembly of thousands of chemical-genetic profiles. Finally, based on comparison of the chemical-genetic profiles with a compendium of genome-wide genetic interaction profiles, we predicted compound functionality. Applying this high-throughput approach, we screened seven different compound libraries and annotated their functional diversity. We further validated biological process predictions, prioritized a diverse set of compounds, and identified compounds that appear to have dual modes of action.

关键词： Chemical genetics High-throughput screening Networks and systems biology Target identification

来源：评论

学校读者我要写书评

暂无评论

The Functional Genomic Circuitry of Human Glioblastoma Stem Cells

SSRN

引用

SSRN 2018年

作者： MacLeod, Graham Bozek, Danielle A. Rajakulendran, Nishani Monteiro, Vernon Ahmadi, Moloud Steinhart, Zachary Kushida, Michelle M. Yu, Helen Coutinho, Fiona J. Restall, Ian Hao, Xiaoguang Hart, Traver Luchman, H. Artee Weiss, Samuel Dirks, Peter B. Angers, Stephane Leslie Dan Faculty of Pharmacy University of Toronto ONM5S 3M2 Canada Hotchkiss Brain Institute Department of Cell Biology and Anatomy Cumming School of Medicine University of Calgary CalgaryABT2N 4N1 Canada Developmental and Stem Cell Biology Program and Arthur and Sonia Labatt Brain Tumour Research Centre The Hospital for Sick Children TorontoONM5G 0A4 Canada Department of Bioinformatics and Computational Biology The University of Texas MD Anderson Cancer Center HoustonTX77030 United States Department of Molecular Genetics Department of Laboratory Medicine and Pathobiology Division of Neurosurgery Department of Surgery University of Toronto ON Canada Division of Neurosurgery The Hospital for Sick Children TorontoONM5G 0A4 Canada Department of Biochemistry Faculty of Medicine University of Toronto ONM5G 0A4 Canada

Successful glioblastoma (GBM) therapies have remained elusive due to limitations in understanding mechanisms of growth and survival of the tumorigenic population. Using CRISPR-Cas9 approaches in patientderived GBM stem cells to interrogate function of the coding genome, we identify diverse actionable pathways responsible for growth that reveal the gene-essential circuitry of GBM stemness. In particular, we describe the Sox developmental transcription factor family;H3K79 methylation by DOT1L;and ufmylation stress responsiveness programs as essential for GBM stemness. Additionally, we find mechanisms of temozolomide resistance and sensitivity that could lead to combination strategies with this standard of care treatment. By reaching beyond static genome analysis of bulk tumors, with a genome wide functional approach, we dive deep into a broad range of biological processes to provide new understanding of GBM growth and treatment resistance. © 2018, The Authors. All rights reserved.

关键词： Stem cells

来源：评论

学校读者我要写书评

暂无评论

Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder

arXiv

引用

arXiv 2024年

作者： McGrouther, Caroline C. Rangan, Aaditya V. Florio, Arianna Di Elman, Jeremy A. Schork, Nicholas J. Kelsoe, John Stahl, Eli A. Breen, Gerome Forstner, Andreas J. McQuillin, Andrew Ripke, Stephan Trubetskoy, Vassily Mattheisen, Manuel Wang, Yunpeng Coleman, Jonathan R.I. Gaspar, Héléna A. de Leeuw, Christiaan A. Steinberg, Stacy Whitehead Pavlides, Jennifer M. Trzaskowski, Maciej Byrne, Enda M. Pers, Tune H. Holmans, Peter A. Richards, Alexander L. Abbott, Liam Agerbo, Esben Akil, Huda Albani, Diego Alliey-Rodriguez, Ney Als, Thomas D. Anjorin, Adebayo Antilla, Verneri Awasthi, Swapnil Badner, Judith A. Bækvad-Hansen, Marie Barchas, Jack D. Bass, Nicholas Bauer, Michael Belliveau, Richard Bergen, Sarah E. Pedersen, Carsten Bøcker Bøen, Erlend Boks, Marco P. Boocock, James Budde, Monika Bunney, William Burmeister, Margit Bybjerg-Grauholm, Jonas Byerley, William Casas, Miquel Cerrato, Felecia Cervantes, Pablo Chambert, Kimberly Charney, Alexander W. Chen, Danfeng Churchhouse, Claire Clarke, Toni-Kim Coryell, William Craig, David W. Cruceanu, Cristiana Curtis, David Czerski, Piotr M. Dale, Anders M. de Jong, Simone Degenhardt, Franziska Del-Favero, Jurgen DePaulo, J. Raymond Djurovic, Srdjan Dobbyn, Amanda L. Dumont, Ashley Elvsåshagen, Torbjørn Escott-Price, Valentina Fan, Chun Chieh Fischer, Sascha B. Flickinger, Matthew Foroud, Tatiana M. Forty, Liz Frank, Josef Fraser, Christine Freimer, Nelson B. Frisén, Louise Gade, Katrin Gage, Diane Garnham, Julie Giambartolomei, Claudia Pedersen, Marianne Giørtz Goldstein, Jaqueline Gordon, Scott D. Gordon-Smith, Katherine Green, Elaine K. Green, Melissa J. Greenwood, Tiffany A. Grove, Jakob Guan, Weihua Guzman-Parra, José Hamshere, Marian L. Hautzinger, Martin Heilbronner, Urs Herms, Stefan Hipolito, Maria Hoffmann, Per Holland, Dominic Huckins, Laura Jamain, Stéphane Johnson, Jessica S. Kandaswamy, Radhika Karlsson, Robert Kennedy, James L. Kittel-Schneider, Sarah Knowles, James A. Kogevinas, Manolis Koller, Anna C. Kupka, Ralph Lavebratt, Catharina Lawrence, Jacob Lawson, Courant Institute of Mathematical Sciences New York University New YorkNY United States School of Medicine Division of Psychological Medicine and Clinical Neurosciences Cardiff University Cardiff United Kingdom Department of Psychiatry University of California San Diego San DiegoCA United States The Translational Genomics Research Institute Quantitative Medicine and Systems Biology PhoenixAZ United States Department of Psychiatry University of California San Diego La Jolla CA United States Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New YorkNY United States Department of Psychiatry Icahn School of Medicine at Mount Sinai New YorkNY United States Medical and Population Genetics Broad Institute CambridgeMA United States MRC Social Genetic and Developmental Psychiatry Centre King’s College London London United Kingdom NIHR BRC for Mental Health King’s College London London United Kingdom University of Basel Basel Switzerland Institute of Human Genetics University of Bonn School of Medicine University Hospital Bonn DE Bonn Germany Centre for Human Genetics University of Marburg DE Marburg Germany Institute of Medical Genetics and Pathology University Hospital Basel Basel Switzerland Division of Psychiatry University College London London United Kingdom Stanley Center for Psychiatric Research Broad Institute CambridgeMA United States Department of Psychiatry and Psychotherapy Charité - Universitätsmedizin Berlin Germany Analytic and Translational Genetics Unit Massachusetts General Hospital BostonMA United States iSEQ Center for Integrative Sequencing Aarhus University DK Aarhus Denmark Department of Biomedicine - Human Genetics Aarhus University DK Aarhus Denmark Department of Clinical Neuroscience Centre for Psychiatry Research Karolinska Institutet Stockholm Sweden Department of Psychiatry Psychosomatics and Psychotherapy Center of Mental Health University Hospital Würzburg DE Würzburg Ge

Background: Bipolar Disorder (BD) is a complex disease. It is heterogeneous, both at the phenotypic and genetic level, although the extent and impact of this heterogeneity is not fully understood. One way to assess this heterogeneity is to look for patterns in the subphenotype data. Because of the variability in how phenotypic data was collected by the various BD studies over the years, homogenizing this subphenotypic data is a challenging task, and so is replication. An alternative methodology, taken here, is to set aside the intricacies of subphenotype and allow the genetic data itself to determine which subjects define a homogeneous genetic subgroup (termed ‘bicluster’ below). Results: In this paper, we leverage recent advances in heterogeneity analysis to look for genetically-driven subgroups (i.e., biclusters) within the broad phenotype of Bipolar Disorder. We first apply this covariate-corrected biclustering algorithm to a cohort of 2524 BD cases and 4106 controls from the Bipolar Disease Research Network (BDRN) within the Psychiatric Genomics Consortium (PGC). We find evidence of genetic heterogeneity delineating a statistically significant bicluster comprising a subset of BD cases which exhibits a disease-specific pattern of differential-expression across a subset of SNPs. This disease-specific genetic pattern (i.e., ‘genetic subgroup’) replicates across the remaining data-sets collected by the PGC containing 5781/8289, 3581/7591, and 6825/9752 cases/controls, respectively. This genetic subgroup (discovered without using any BD subtype information) was more prevalent in Bipolar type-I than in Bipolar type-II. Conclusions: Our methodology has successfully identified a replicable homogeneous genetic subgroup of bipolar disorder. This subgroup may represent a collection of correlated genetic risk-factors for BDI. By investigating the subgroup’s bicluster-informed polygenic-risk-scoring (PRS), we find that the disease-specific pattern highlighted by the bicluste

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

LifeTime and improving European healthcare through cell-based interceptive medicine (vol 587, pg 377, 2020)

引用

NATURE 2021年第7852期592卷 E8-E8页

作者： Rajewsky, Nikolaus Almouzni, Genevieve Gorski, Stanislaw A. Aerts, Stein Amit, Ido Bertero, Michela G. Bock, Christoph Bredenoord, Annelien L. Cavalli, Giacomo Chiocca, Susanna Clevers, Hans De Strooper, Bart Eggert, Angelika Ellenberg, Jan Fernandez, Xose M. Figlerowicz, Marek Gasser, Susan M. Hubner, Norbert Kjems, Jorgen Knoblich, Jurgen A. Krabbe, Grietje Lichter, Peter Linnarsson, Sten Marine, Jean-Christophe Marioni, John C. Marti-Renom, Marc A. Netea, Mihai G. Nickel, Dorthe Nollmann, Marcelo Novak, Halina R. Parkinson, Helen Piccolo, Stefano Pinheiro, Ines Pombo, Ana Popp, Christian Reik, Wolf Roman-Roman, Sergio Rosenstiel, Philip Schultze, Joachim L. Stegle, Oliver Tanay, Amos Testa, Giuseppe Thanos, Dimitris Theis, Fabian J. Torres-Padilla, Maria-Elena Valencia, Alfonso Vallot, Celine van Oudenaarden, Alexander Vidal, Marie Voet, Thierry Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany Charité-Universitätsmedizin Berlin Germany Berlin Institute of Health (BIH) Berlin Germany German Center for Cardiovascular Research (DZHK) Partner Site Berlin Berlin Germany Institute for Biology Humboldt University of Berlin Berlin Germany Cardiovascular and Metabolic Sciences Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Berlin Germany Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany Institut Curie CNRS PSL Research University Sorbonne Université Nuclear Dynamics Unit Equipe Labellisée Ligue contre le cancer Paris France VIB Center for Brain and Disease Research Leuven Belgium Department of Human Genetics KU Leuven Leuven Belgium Department of Neurosciences KU Leuven Leuven Belgium UK Dementia Research Institute at UCL University College London London UK Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK Department of Immunology Weizmann Institute of Science Rehovot Israel Centre for Genomic Regulation (CRG) Barcelona Institute of Science and Technology Barcelona Spain CNAG-CRG Centre for Genomic Regulation Barcelona Institute of Science and Technology Barcelona Spain Universitat Pompeu Fabra Barcelona Spain ICREA Barcelona Spain CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria Department of Laboratory Medicine Medical University of Vienna Vienna Austria Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases Vienna Austria Department of Medical Humanities Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Institute of Human Genetics UMR 9002 CNRS and University of Montpellier Montpellier France Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy Department of Oncology and Hemato

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：