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Combinatorial transcription factor profiles predict mature and functional human islet α and β cells.
Citation | “Combinatorial Transcription Factor Profiles Predict Mature And Functional Human Islet Α And Β Cells.”. Jci Insight. . |
Center | Vanderbilt University |
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Author | Shristi Shrestha, Diane C Saunders, John T Walker, Joan Camunas-Soler, Xiao-Qing Dai, Rachana Haliyur, Radhika Aramandla, Greg Poffenberger, Nripesh Prasad, Rita Bottino, Roland Stein, Jean-Philippe Cartailler, Stephen Cj Parker, Patrick E MacDonald, Shawn E Levy, Alvin C Powers, Marcela Brissova |
Keywords | beta cells, bioinformatics, Cell Biology, diabetes, Endocrinology |
Abstract |
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. |
Year of Publication |
2021
|
Journal |
JCI insight
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Volume |
6
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Issue |
18
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Date Published |
09/2021
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ISSN Number |
2379-3708
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DOI |
10.1172/jci.insight.151621
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Alternate Journal |
JCI Insight
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PMID |
34428183
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PMCID |
PMC8492318
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