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Integrated multi-omics single cell atlas of the human retina.
Li, Jin; Wang, Jun; Ibarra, Ignacio L; Cheng, Xuesen; Luecken, Malte D; Lu, Jiaxiong; Monavarfeshani, Aboozar; Yan, Wenjun; Zheng, Yiqiao; Zuo, Zhen; Colborn, Samantha Lynn Zayas; Cortez, Berenice Sarahi; Owen, Leah A; Tran, Nicholas M; Shekhar, Karthik; Sanes, Joshua R; Stout, J Timothy; Chen, Shiming; Li, Yumei; DeAngelis, Margaret M; Theis, Fabian J; Chen, Rui.
Afiliação
  • Li J; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Wang J; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States.
  • Ibarra IL; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Cheng X; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States.
  • Luecken MD; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Lu J; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Monavarfeshani A; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States.
  • Yan W; Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Zheng Y; Institute of Lung Health & Immunity, Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany.
  • Zuo Z; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Colborn SLZ; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States.
  • Cortez BS; Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, United States.
  • Owen LA; Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States.
  • Tran NM; Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States.
  • Shekhar K; Department of Ophthalmology and Visual Sciences, Washington University in St Louis, Saint Louis, Missouri, United States.
  • Sanes JR; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Stout JT; Lions Eye Bank of Texas, Baylor College of Medicine, Houston, Texas, United States.
  • Chen S; Lions Eye Bank of Texas, Baylor College of Medicine, Houston, Texas, United States.
  • Li Y; John A. Moran Eye Center, Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, Utah, United States.
  • DeAngelis MM; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States.
  • Theis FJ; Department of Chemical and Biomolecular Engineering; Helen Wills Neuroscience Institute; Center for Computational Biology; California Institute for Quantitative Biosciences, QB3, University of California, Berkeley, Berkeley, California, United States.
  • Chen R; Center for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, United States.
Res Sq ; 2023 Nov 17.
Article em En | MEDLINE | ID: mdl-38014002
ABSTRACT
Single-cell sequencing has revolutionized the scale and resolution of molecular profiling of tissues and organs. Here, we present an integrated multimodal reference atlas of the most accessible portion of the mammalian central nervous system, the retina. We compiled around 2.4 million cells from 55 donors, including 1.4 million unpublished data points, to create a comprehensive human retina cell atlas (HRCA) of transcriptome and chromatin accessibility, unveiling over 110 types. Engaging the retina community, we annotated each cluster, refined the Cell Ontology for the retina, identified distinct marker genes, and characterized cis-regulatory elements and gene regulatory networks (GRNs) for these cell types. Our analysis uncovered intriguing differences in transcriptome, chromatin, and GRNs across cell types. In addition, we modeled changes in gene expression and chromatin openness across gender and age. This integrated atlas also enabled the fine-mapping of GWAS and eQTL variants. Accessible through interactive browsers, this multimodal cross-donor and cross-lab HRCA, can facilitate a better understanding of retinal function and pathology.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article