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Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis

Most human genes are co-expressed with a nearby gene. Previous studies have revealed this local gene co-expression to be widespread across chromosomes and across dozens of tissues. Yet, so far these studies used bulk RNA-seq, averaging gene expression measurements across millions of cells, thus bein...

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Autores principales: M. Ribeiro, Diogo, Ziyani, Chaymae, Delaneau, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418141/
https://www.ncbi.nlm.nih.gov/pubmed/36028576
http://dx.doi.org/10.1038/s42003-022-03831-w
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author M. Ribeiro, Diogo
Ziyani, Chaymae
Delaneau, Olivier
author_facet M. Ribeiro, Diogo
Ziyani, Chaymae
Delaneau, Olivier
author_sort M. Ribeiro, Diogo
collection PubMed
description Most human genes are co-expressed with a nearby gene. Previous studies have revealed this local gene co-expression to be widespread across chromosomes and across dozens of tissues. Yet, so far these studies used bulk RNA-seq, averaging gene expression measurements across millions of cells, thus being unclear if this co-expression stems from transcription events in single cells. Here, we leverage single cell datasets in >85 individuals to identify gene co-expression across cells, unbiased by cell-type heterogeneity and benefiting from the co-occurrence of transcription events in single cells. We discover >3800 co-expressed gene pairs in two human cell types, induced pluripotent stem cells (iPSCs) and lymphoblastoid cell lines (LCLs) and (i) compare single cell to bulk RNA-seq in identifying local gene co-expression, (ii) show that many co-expressed genes – but not the majority – are composed of functionally related genes and (iii) using proteomics data, provide evidence that their co-expression is maintained up to the protein level. Finally, using single cell RNA-sequencing (scRNA-seq) and single cell ATAC-sequencing (scATAC-seq) data for the same single cells, we identify gene-enhancer associations and reveal that >95% of co-expressed gene pairs share regulatory elements. These results elucidate the potential reasons for co-expression in single cell gene regulatory networks and warrant a deeper study of shared regulatory elements, in view of explaining disease comorbidity due to affecting several genes. Our in-depth view of local gene co-expression and regulatory element co-activity advances our understanding of the shared regulatory architecture between genes.
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spelling pubmed-94181412022-08-28 Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis M. Ribeiro, Diogo Ziyani, Chaymae Delaneau, Olivier Commun Biol Article Most human genes are co-expressed with a nearby gene. Previous studies have revealed this local gene co-expression to be widespread across chromosomes and across dozens of tissues. Yet, so far these studies used bulk RNA-seq, averaging gene expression measurements across millions of cells, thus being unclear if this co-expression stems from transcription events in single cells. Here, we leverage single cell datasets in >85 individuals to identify gene co-expression across cells, unbiased by cell-type heterogeneity and benefiting from the co-occurrence of transcription events in single cells. We discover >3800 co-expressed gene pairs in two human cell types, induced pluripotent stem cells (iPSCs) and lymphoblastoid cell lines (LCLs) and (i) compare single cell to bulk RNA-seq in identifying local gene co-expression, (ii) show that many co-expressed genes – but not the majority – are composed of functionally related genes and (iii) using proteomics data, provide evidence that their co-expression is maintained up to the protein level. Finally, using single cell RNA-sequencing (scRNA-seq) and single cell ATAC-sequencing (scATAC-seq) data for the same single cells, we identify gene-enhancer associations and reveal that >95% of co-expressed gene pairs share regulatory elements. These results elucidate the potential reasons for co-expression in single cell gene regulatory networks and warrant a deeper study of shared regulatory elements, in view of explaining disease comorbidity due to affecting several genes. Our in-depth view of local gene co-expression and regulatory element co-activity advances our understanding of the shared regulatory architecture between genes. Nature Publishing Group UK 2022-08-26 /pmc/articles/PMC9418141/ /pubmed/36028576 http://dx.doi.org/10.1038/s42003-022-03831-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
M. Ribeiro, Diogo
Ziyani, Chaymae
Delaneau, Olivier
Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title_full Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title_fullStr Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title_full_unstemmed Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title_short Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
title_sort shared regulation and functional relevance of local gene co-expression revealed by single cell analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418141/
https://www.ncbi.nlm.nih.gov/pubmed/36028576
http://dx.doi.org/10.1038/s42003-022-03831-w
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