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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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. |
format | Online Article Text |
id | pubmed-10300490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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