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

Authors :
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 C.J. Parker
Patrick E. MacDonald
Shawn E. Levy
Alvin C. Powers
Marcela Brissova
Source :
JCI Insight, Vol 6, Iss 18 (2021)
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.

Subjects

Subjects :
Cell biology
Endocrinology
Medicine

Details

Language :
English
ISSN :
23793708
Volume :
6
Issue :
18
Database :
Directory of Open Access Journals
Journal :
JCI Insight
Publication Type :
Academic Journal
Accession number :
edsdoj.176612b370447eeb2aad97352fda235
Document Type :
article
Full Text :
https://doi.org/10.1172/jci.insight.151621