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Integrated multi-omics single cell atlas of the human retina
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680922/ https://www.ncbi.nlm.nih.gov/pubmed/38014002 http://dx.doi.org/10.21203/rs.3.rs-3471275/v1 |
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author | 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 |
author_facet | 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 |
author_sort | Li, Jin |
collection | PubMed |
description | 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 We compiled around 2.4 million cells from 55 donors, including 1.4 million unpublished data points, to create a comprehensive human retina cell atlas (HRCA) of transcriptome and chromatin accessibility, unveiling over 110 types.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. |
format | Online Article Text |
id | pubmed-10680922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-106809222023-11-27 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 Res Sq Article 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. American Journal Experts 2023-11-17 /pmc/articles/PMC10680922/ /pubmed/38014002 http://dx.doi.org/10.21203/rs.3.rs-3471275/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article 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 Integrated multi-omics single cell atlas of the human retina |
title | Integrated multi-omics single cell atlas of the human retina |
title_full | Integrated multi-omics single cell atlas of the human retina |
title_fullStr | Integrated multi-omics single cell atlas of the human retina |
title_full_unstemmed | Integrated multi-omics single cell atlas of the human retina |
title_short | Integrated multi-omics single cell atlas of the human retina |
title_sort | integrated multi-omics single cell atlas of the human retina |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680922/ https://www.ncbi.nlm.nih.gov/pubmed/38014002 http://dx.doi.org/10.21203/rs.3.rs-3471275/v1 |
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