ArticleJCI insight2021
Combinatorial transcription factor profiles predict mature and functional human islet α and β cells.
Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Review
- Long QT syndrome and hypoglycemia in a postbariatric surgery patient with a likely pathogenic variant inJCEM case reports · 2026Article
- ROMO1 and mitochondrial complex II/SDH are required for spare respiratory capacity and glucose homeostasis in mice.Diabetologia · 2026Article
- Pancreatic islet α cell function and proliferation require the arginine transporter SLC7A2.The Journal of clinical investigation · 2026Article
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.Nature communications · 2026Article
- Age-associated increases in inter-individual gene expression variability across human tissues.bioRxiv : the preprint server for biology · 2026Article
- α-cell SLC38A5 supports amino acid-induced α-cell proliferation and glucagon secretion.Frontiers in endocrinology · 2026Article
- Bioengineering and omics approaches for Type 1 diabetes practical research: advancements and constraints.Annals of medicine · 2025Review
- Benchmarking large language models for cell typing in single-cell RNA-Seq.Briefings in bioinformatics · 2025Article
- Human pancreatic α-cell heterogeneity and trajectory inference analyses reveal SMOC1 as a β-cell dedifferentiation gene.Nature communications · 2025Article
- Unraveling the Role of MDK-SDC4 Interaction in Pancreatic Cancer-Associated New-Onset Diabetes by Single-Cell Transcriptomic Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- BMP5 signalling in beta cells and the impact on insulin secretion in the context of type 2 diabetes.Diabetologia · 2025Article
- Heterogeneous endocrine cell composition defines human islet functional phenotypes.bioRxiv : the preprint server for biology · 2025Article
- Modeling diabetic alpha cell dysfunction using stem cell-derived alpha cells.Stem cell reports · 2025Article
- DiabetesOmic: A comprehensive multi-omics diabetes database.Computational and structural biotechnology journal · 2025Article
- β-cell heterogeneity and molecular plasticity in type 2 diabetes: multi-omics perspectives and the role of gut microbiota.Frontiers in cell and developmental biology · 2025Review
- Cycling alpha cells in regenerative drug-treated human pancreatic islets may serve as key beta cell progenitors.Cell reports. Medicine · 2024Article
- Heterogeneous enhancer states orchestrate β cell responses to metabolic stress.Nature communications · 2024Article
- Senescence of human pancreatic beta cells enhances functional maturation through chromatin reorganization and promotes interferon responsiveness.Nucleic acids research · 2024Article
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
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17 authors.
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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.
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