Landscape of X chromosome inactivation across human tissues

被引：0

作者：

Taru Tukiainen

Alexandra-Chloé Villani

Angela Yen

Manuel A. Rivas

Jamie L. Marshall

Rahul Satija

Matt Aguirre

Laura Gauthier

Mark Fleharty

Andrew Kirby

Beryl B. Cummings

Stephane E. Castel

Konrad J. Karczewski

François Aguet

Andrea Byrnes

Tuuli Lappalainen

Aviv Regev

Kristin G. Ardlie

Nir Hacohen

Daniel G. MacArthur

机构：

[1] Analytic and Translational Genetics Unit,Department of Biomedical Data Science

[2] Massachusetts General Hospital,Department of Biology

[3] Broad Institute of MIT and Harvard,Department of Systems Biology

[4] Center for Immunology and Inflammatory Diseases,Department of Biology

[5] Massachusetts General Hospital,Massachusetts General Hospital Cancer Center and Department of Pathology

[6] Computer Science and Artificial Intelligence Laboratory,Department of Genetics

[7] Massachusetts Institute of Technology,Department of Genetics

[8] Stanford University,Department of Pathology

[9] New York Genome Center,Department of Clinical Biochemistry and Pharmacology

[10] Center for Genomics and Systems Biology,Department of Computer Science

[11] New York University,Department of Genetic Medicine and Development

[12] Columbia University,Department of Genetics

[13] Massachusetts Institute of Technology,Department of Systems Biology

[14] The Broad Institute of Massachusetts Institute of Technology and Harvard University,Department of Public Health Sciences

[15] Analytic and Translational Genetics Unit,Department of Genetics

[16] Massachusetts General Hospital,Department of Pathology & Immunology

[17] Massachusetts General Hospital,Division of Genetic Medicine, Department of Medicine

[18] Harvard Medical School,Department of Computer Science

[19] Stanford University,Department of Computer Science

[20] Stanford University,Department of Human Genetics

[21] Faculty of Health Sciences,Department of Clinical Epidemiology

[22] Ben-Gurion University of the Negev,Department of Psychiatry

[23] Johns Hopkins University,Department of Operations Research and Financial Engineering

[24] Centre for Genomic Regulation (CRG),Department of Medicine

[25] The Barcelona Institute for Science and Technology,Department of Convergence Medicine

[26] Universitat Pompeu Fabra (UPF),Department of Biomedical Engineering

[27] University of Geneva Medical School,Department of Medicine

[28] Institute for Genetics and Genomics in Geneva (iG3),Department of Biostatistics

[29] University of Geneva,Department of Biology

[30] Swiss Institute of Bioinformatics,Nuffield Department of Medicine

[31] Perelman School of Medicine,Human Genetics Department

[32] University of Pennsylvania,Department of Statistics

[33] New York Genome Center,Department of Human Genetics

[34] Columbia University Medical Center,Department of Statistics and Operations Research

[35] The University of Chicago,Department of Biostatistics

[36] McDonnell Genome Institute,Department of Biostatistics

[37] Washington University School of Medicine,Department of Biomedical Data Science

[38] Washington University School of Medicine,Department of Statistics

[39] Washington University School of Medicine,Department of Psychiatry

[40] Vanderbilt University Medical Center,Department of Psychiatry and Biobehavioral Sciences

[41] Center for Statistics and Machine Learning,Department of Biostatistics

[42] Princeton University,Bioinformatics Research Center and Departments of Statistics and Biological Sciences

[43] University of California,Department of Ecology and Evolutionary Biology

[44] University of California,Department of Population Health Sciences

[45] Instituto de Investigação e Inovação em Saúde (i3S),Department of Medicine

[46] Universidade do Porto,Department of Mental Health

[47] Institute of Molecular Pathology and Immunology (IPATIMUP),Department of Biostatistics

[48] University of Porto,Department of Medicine

[49] Biostatistics and Bioinformatics,Division of Cardiology

[50] Academic Medical Center,Department of Genome Sciences

来源：

Nature | 2017年 / 550卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Multiple transcriptome approaches, including single-cell sequencing, demonstrate that escape from X chromosome inactivation is widespread and occasionally variable between cells, chromosomes, and tissues, resulting in sex-biased expression of at least 60 genes and potentially contributing to sex-specific differences in health and disease.

引用

页码：244 / 248

页数：4

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