A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

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[1] Stanford University School of Medicine,Department of Pediatrics, Pulmonary Medicine
[2] Stanford University School of Medicine,Institute for Stem Cell Biology and Regenerative Medicine
[3] Stanford University School of Medicine,Stanford Cardiovascular Institute
[4] Stanford University School of Medicine,Division of Cardiovascular Medicine, Department of Medicine
[5] Stanford University School of Medicine,Department of Neurobiology
[6] Stanford University School of Medicine,Department of Biochemistry
[7] Howard Hughes Medical Institute,Department of Developmental Biology
[8] Stanford University School of Medicine,Department of Neurology and Neurological Sciences
[9] Veterans Administration Palo Alto Healthcare System,Department of Surgery, Division of Plastic and Reconstructive Surgery
[10] Stanford University School of Medicine,Department of Bioengineering
[11] Flow Cytometry Core,Department of Physiology
[12] Veterans Administration Palo Alto Healthcare System,Department of Microbiology & Immunology
[13] Stanford University,Department of Medicine and Liver Center
[14] Stanford University,Clinical Bioinformatics
[15] Chan Zuckerberg Biohub,Department of Medicine and Stanford Diabetes Research Center
[16] University of California,Department of Urology
[17] Stanford University School of Medicine,Sean N. Parker Center for Asthma and Allergy Research
[18] University of California San Francisco,Department of Medicine, Division of Pulmonary and Critical Care
[19] Saarland University,Department of Developmental Biology
[20] Stanford University,Department of Psychiatry
[21] Stanford University School of Medicine,Vera Moulton Wall Center for Pulmonary and Vascular Disease
[22] Stanford University School of Medicine,Department of Pediatrics, Division of Cardiology
[23] Stanford University School of Medicine,Department of Epidemiology and Biostatistics
[24] University of Pittsburgh School of Medicine,Paul F. Glenn Center for the Biology of Aging
[25] Mental Illness Research Education and Clinical Center,Department of Pathology
[26] Veterans Administration Palo Alto Healthcare System,Ludwig Center for Cancer Stem Cell Research and Medicine
[27] Stanford University School of Medicine,Stanford Cancer Institute
[28] Stanford University School of Medicine,Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics and Biotechnology
[29] Stanford University School of Medicine,Wu Tsai Neurosciences Institute
[30] University of California,Department of Electrical Engineering
[31] Stanford University School of Medicine,Department of Biomedical Data Science
[32] Stanford University School of Medicine,School of Biomedical Engineering
[33] Stanford University School of Medicine,Department of Microbiology and Immunology
[34] Stanford University School of Medicine,Humans and the Microbiome Program
[35] Jagiellonian University,undefined
[36] Stanford University School of Medicine,undefined
[37] Stanford University,undefined
[38] Department of Epidemiology,undefined
[39] Harvard T.H. Chan School of Public Health,undefined
[40] Stanford University,undefined
[41] Princess Máxima Center for Pediatric Oncology,undefined
[42] University of British Columbia,undefined
[43] University of British Columbia,undefined
[44] Canadian Institute for Advanced Research,undefined
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Nature | 2020年 / 583卷
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摘要：
Ageing is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death1. Despite rapid advances over recent years, many of the molecular and cellular processes that underlie the progressive loss of healthy physiology are poorly understood2. To gain a better insight into these processes, here we generate a single-cell transcriptomic atlas across the lifespan of Mus musculus that includes data from 23 tissues and organs. We found cell-specific changes occurring across multiple cell types and organs, as well as age-related changes in the cellular composition of different organs. Using single-cell transcriptomic data, we assessed cell-type-specific manifestations of different hallmarks of ageing—such as senescence3, genomic instability4 and changes in the immune system2. This transcriptomic atlas—which we denote Tabula Muris Senis, or ‘Mouse Ageing Cell Atlas’—provides molecular information about how the most important hallmarks of ageing are reflected in a broad range of tissues and cell types.
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页码：590 / 595
页数：5
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