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A multi-omics atlas of the human retina at single-cell resolution

Cell classes in the human retina are highly heterogeneous with their abundance varying by several orders of magnitude. Here, we generated and integrated a multi-omics single-cell atlas of the adult human retina, including more than 250,000 nuclei for single-nuclei RNA-seq and 137,000 nuclei for sing...

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Autores principales: Liang, Qingnan, Cheng, Xuesen, Wang, Jun, Owen, Leah, Shakoor, Akbar, Lillvis, John L., Zhang, Charles, Farkas, Michael, Kim, Ivana K., Li, Yumei, DeAngelis, Margaret, Chen, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300490/
https://www.ncbi.nlm.nih.gov/pubmed/37388908
http://dx.doi.org/10.1016/j.xgen.2023.100298
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author Liang, Qingnan
Cheng, Xuesen
Wang, Jun
Owen, Leah
Shakoor, Akbar
Lillvis, John L.
Zhang, Charles
Farkas, Michael
Kim, Ivana K.
Li, Yumei
DeAngelis, Margaret
Chen, Rui
author_facet Liang, Qingnan
Cheng, Xuesen
Wang, Jun
Owen, Leah
Shakoor, Akbar
Lillvis, John L.
Zhang, Charles
Farkas, Michael
Kim, Ivana K.
Li, Yumei
DeAngelis, Margaret
Chen, Rui
author_sort Liang, Qingnan
collection PubMed
description Cell classes in the human retina are highly heterogeneous with their abundance varying by several orders of magnitude. Here, we generated and integrated a multi-omics single-cell atlas of the adult human retina, including more than 250,000 nuclei for single-nuclei RNA-seq and 137,000 nuclei for single-nuclei ATAC-seq. Cross-species comparison of the retina atlas among human, monkey, mice, and chicken revealed relatively conserved and non-conserved types. Interestingly, the overall cell heterogeneity in primate retina decreases compared with that of rodent and chicken retina. Through integrative analysis, we identified 35,000 distal cis-element-gene pairs, constructed transcription factor (TF)-target regulons for more than 200 TFs, and partitioned the TFs into distinct co-active modules. We also revealed the heterogeneity of the cis-element-gene relationships in different cell types, even from the same class. Taken together, we present a comprehensive single-cell multi-omics atlas of the human retina as a resource that enables systematic molecular characterization at individual cell-type resolution.
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spelling pubmed-103004902023-06-29 A multi-omics atlas of the human retina at single-cell resolution Liang, Qingnan Cheng, Xuesen Wang, Jun Owen, Leah Shakoor, Akbar Lillvis, John L. Zhang, Charles Farkas, Michael Kim, Ivana K. Li, Yumei DeAngelis, Margaret Chen, Rui Cell Genom Resource Cell classes in the human retina are highly heterogeneous with their abundance varying by several orders of magnitude. Here, we generated and integrated a multi-omics single-cell atlas of the adult human retina, including more than 250,000 nuclei for single-nuclei RNA-seq and 137,000 nuclei for single-nuclei ATAC-seq. Cross-species comparison of the retina atlas among human, monkey, mice, and chicken revealed relatively conserved and non-conserved types. Interestingly, the overall cell heterogeneity in primate retina decreases compared with that of rodent and chicken retina. Through integrative analysis, we identified 35,000 distal cis-element-gene pairs, constructed transcription factor (TF)-target regulons for more than 200 TFs, and partitioned the TFs into distinct co-active modules. We also revealed the heterogeneity of the cis-element-gene relationships in different cell types, even from the same class. Taken together, we present a comprehensive single-cell multi-omics atlas of the human retina as a resource that enables systematic molecular characterization at individual cell-type resolution. Elsevier 2023-04-11 /pmc/articles/PMC10300490/ /pubmed/37388908 http://dx.doi.org/10.1016/j.xgen.2023.100298 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Resource
Liang, Qingnan
Cheng, Xuesen
Wang, Jun
Owen, Leah
Shakoor, Akbar
Lillvis, John L.
Zhang, Charles
Farkas, Michael
Kim, Ivana K.
Li, Yumei
DeAngelis, Margaret
Chen, Rui
A multi-omics atlas of the human retina at single-cell resolution
title A multi-omics atlas of the human retina at single-cell resolution
title_full A multi-omics atlas of the human retina at single-cell resolution
title_fullStr A multi-omics atlas of the human retina at single-cell resolution
title_full_unstemmed A multi-omics atlas of the human retina at single-cell resolution
title_short A multi-omics atlas of the human retina at single-cell resolution
title_sort multi-omics atlas of the human retina at single-cell resolution
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300490/
https://www.ncbi.nlm.nih.gov/pubmed/37388908
http://dx.doi.org/10.1016/j.xgen.2023.100298
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