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Combinatorial transcription factor profiles predict mature and functional human islet α and β cells
- 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.
- Subjects :
- Adult
Maf Transcription Factors, Large
Bioinformatics
MafB Transcription Factor
Cell
Gene Expression
Young Adult
Endocrinology
Insulin-Secreting Cells
medicine
Humans
Insulin
Secretion
Transcription factor
Homeodomain Proteins
geography
geography.geographical_feature_category
Sequence Analysis, RNA
Chemistry
Diabetes
Beta cells
Cell Biology
General Medicine
Middle Aged
Islet
Electrophysiological Phenomena
Cell biology
Electrophysiology
medicine.anatomical_structure
Glucagon-Secreting Cells
MAFB
Resource and Technical Advance
Single-Cell Analysis
Transcriptome
Function (biology)
Transcription Factors
Hormone
Subjects
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