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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
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 We compiled around 2.4 million cells from 55 donors, including 1.4 million unpublished data points, to create a comprehensive human retina cell atlas (HRCA) of transcriptome and chromatin accessibility, unveiling over 110 types.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.
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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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