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Combinatorial transcription factor profiles predict mature and functional human islet α and β cells
Islet-enriched transcription factors (TFs) exert broad control over cellular processes in pancreatic α and β cells, and changes in their expression are associated with developmental state and diabetes. However, the implications of heterogeneity in TF expression across islet cell populations are not...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Clinical Investigation
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492318/ https://www.ncbi.nlm.nih.gov/pubmed/34428183 http://dx.doi.org/10.1172/jci.insight.151621 |
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author | Shrestha, Shristi Saunders, Diane C. Walker, John T. Camunas-Soler, Joan Dai, Xiao-Qing Haliyur, Rachana Aramandla, Radhika Poffenberger, Greg Prasad, Nripesh Bottino, Rita Stein, Roland Cartailler, Jean-Philippe Parker, Stephen C.J. MacDonald, Patrick E. Levy, Shawn E. Powers, Alvin C. Brissova, Marcela |
author_facet | Shrestha, Shristi Saunders, Diane C. Walker, John T. Camunas-Soler, Joan Dai, Xiao-Qing Haliyur, Rachana Aramandla, Radhika Poffenberger, Greg Prasad, Nripesh Bottino, Rita Stein, Roland Cartailler, Jean-Philippe Parker, Stephen C.J. MacDonald, Patrick E. Levy, Shawn E. Powers, Alvin C. Brissova, Marcela |
author_sort | Shrestha, Shristi |
collection | PubMed |
description | Islet-enriched transcription factors (TFs) exert broad control over cellular processes in pancreatic α and β cells, and changes in their expression are associated with developmental state and diabetes. However, the implications of heterogeneity in TF expression across islet cell populations are not well understood. To define this TF heterogeneity and its consequences for cellular function, we profiled more than 40,000 cells from normal human islets by single-cell RNA-Seq and stratified α and β cells based on combinatorial TF expression. Subpopulations of islet cells coexpressing ARX/MAFB (α cells) and MAFA/MAFB (β cells) exhibited greater expression of key genes related to glucose sensing and hormone secretion relative to subpopulations expressing only one or neither TF. Moreover, all subpopulations were identified in native pancreatic tissue from multiple donors. By Patch-Seq, MAFA/MAFB-coexpressing β cells showed enhanced electrophysiological activity. Thus, these results indicate that combinatorial TF expression in islet α and β cells predicts highly functional, mature subpopulations. |
format | Online Article Text |
id | pubmed-8492318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Clinical Investigation |
record_format | MEDLINE/PubMed |
spelling | pubmed-84923182021-10-07 Combinatorial transcription factor profiles predict mature and functional human islet α and β cells Shrestha, Shristi Saunders, Diane C. Walker, John T. Camunas-Soler, Joan Dai, Xiao-Qing Haliyur, Rachana Aramandla, Radhika Poffenberger, Greg Prasad, Nripesh Bottino, Rita Stein, Roland Cartailler, Jean-Philippe Parker, Stephen C.J. MacDonald, Patrick E. Levy, Shawn E. Powers, Alvin C. Brissova, Marcela JCI Insight Resource and Technical Advance Islet-enriched transcription factors (TFs) exert broad control over cellular processes in pancreatic α and β cells, and changes in their expression are associated with developmental state and diabetes. However, the implications of heterogeneity in TF expression across islet cell populations are not well understood. To define this TF heterogeneity and its consequences for cellular function, we profiled more than 40,000 cells from normal human islets by single-cell RNA-Seq and stratified α and β cells based on combinatorial TF expression. Subpopulations of islet cells coexpressing ARX/MAFB (α cells) and MAFA/MAFB (β cells) exhibited greater expression of key genes related to glucose sensing and hormone secretion relative to subpopulations expressing only one or neither TF. Moreover, all subpopulations were identified in native pancreatic tissue from multiple donors. By Patch-Seq, MAFA/MAFB-coexpressing β cells showed enhanced electrophysiological activity. Thus, these results indicate that combinatorial TF expression in islet α and β cells predicts highly functional, mature subpopulations. American Society for Clinical Investigation 2021-09-22 /pmc/articles/PMC8492318/ /pubmed/34428183 http://dx.doi.org/10.1172/jci.insight.151621 Text en © 2021 Shrestha et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Resource and Technical Advance Shrestha, Shristi Saunders, Diane C. Walker, John T. Camunas-Soler, Joan Dai, Xiao-Qing Haliyur, Rachana Aramandla, Radhika Poffenberger, Greg Prasad, Nripesh Bottino, Rita Stein, Roland Cartailler, Jean-Philippe Parker, Stephen C.J. MacDonald, Patrick E. Levy, Shawn E. Powers, Alvin C. Brissova, Marcela Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title | Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title_full | Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title_fullStr | Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title_full_unstemmed | Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title_short | Combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
title_sort | combinatorial transcription factor profiles predict mature and functional human islet α and β cells |
topic | Resource and Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8492318/ https://www.ncbi.nlm.nih.gov/pubmed/34428183 http://dx.doi.org/10.1172/jci.insight.151621 |
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