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Combinatorial transcription factor profiles predict mature and functional human islet α and β cells

Authors :
Greg Poffenberger
John T. Walker
Jean-Philippe Cartailler
Xiao-Qing Dai
Nripesh Prasad
Roland Stein
Marcela Brissova
Stephen C. J. Parker
Shawn Levy
Rachana Haliyur
Radhika Aramandla
Shristi Shrestha
Rita Bottino
Joan Camunas-Soler
Alvin C. Powers
Patrick E. MacDonald
Diane C. Saunders
Source :
JCI Insight
Publication Year :
2021
Publisher :
American Society for Clinical Investigation, 2021.

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.

Details

ISSN :
23793708
Volume :
6
Database :
OpenAIRE
Journal :
JCI Insight
Accession number :
edsair.doi.dedup.....c9eea09d136ff7f8673fa2e12b300253
Full Text :
https://doi.org/10.1172/jci.insight.151621