期刊
SCIENCE
卷 376, 期 6594, 页码 712-+出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.abl4290
关键词
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资金
- Manton Foundation
- Klarman Family Foundation
- Howard Hughes Medical Institute
- Common Fund of the Office of the Director, US National Institutes of Health (NIH)
- National Cancer Institute (NCI)
- National Human Genome Research Institute (NHGRI)
- National Heart, Lung, and Blood Institute (NHLBI)
- National Institute on Drug Abuse (NIDA)
- National Institute of Mental Health (NIMH)
- National Institute on Aging (NIA)
- National Institute of Allergy and Infectious Diseases (NIAID)
- National Institute of Neurological Disorders and Stroke (NINDS) through NIH [HHSN268201000029C, 5U41HG009494]
- NEI [R01 EY031424-01]
- Chan Zuckerberg Initiative (CZI) Seed Network for the Human Cell Atlas [CZF2019-002459]
- NHLBI [R56HL157632, R21HL156124]
Understanding the function and regulation of genes in homeostasis and disease requires knowledge of their expression in different cellular and tissue contexts. In this study, we performed single-nucleus RNA sequencing on various frozen tissue types, generating a cross-tissue atlas of cellular profiles. By integrating this atlas, we identified shared and tissue-specific features of cell populations, as well as cell types and gene modules associated with neuromuscular, metabolic, and immune components of monogenic diseases and complex traits analyzed by genome-wide association studies.
Understanding gene function and regulation in homeostasis and disease requires knowledge of the cellular and tissue contexts in which genes are expressed. Here, we applied four single-nucleus RNA sequencing methods to eight diverse, archived, frozen tissue types from 16 donors and 25 samples, generating a cross-tissue atlas of 209,126 nuclei profiles, which we integrated across tissues, donors, and laboratorymethods with a conditional variational autoencoder. Using the resulting cross-tissue atlas, we highlight shared and tissuespecific features of tissue-resident cell populations; identify cell types that might contribute to neuromuscular, metabolic, and immune components of monogenic diseases and the biological processes involved in their pathology; and determine cell types and gene modules that might underlie disease mechanisms for complex traits analyzed by genome-wide association studies.
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