Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Combinatorial transcription factor profiles predict mature and functional human islet α and β cells
Shristi Shrestha, … , Alvin C. Powers, Marcela Brissova
Shristi Shrestha, … , Alvin C. Powers, Marcela Brissova
Published August 24, 2021
Citation Information: JCI Insight. 2021;6(18):e151621. https://doi.org/10.1172/jci.insight.151621.
View: Text | PDF
Resource and Technical Advance Cell biology Endocrinology

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

  • Text
  • PDF
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.

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

×

Figure 2

Gene expression profiles of α and β cells defined by scRNA-Seq are largely concordant with those obtained by bulk RNA-Seq.

Options: View larger image (or click on image) Download as PowerPoint
Gene expression profiles of α and β cells defined by scRNA-Seq are large...
(A) Schematic depicting comparison of sorted human α and β cells profiled by bulk (FACS-Bulk) and single-cell (FACS-SC) RNA-Seq (n = 1, 39-year-old donor), as well as single α and β cells identified by cell surface markers (FACS-SC) compared with those from dispersed whole islets (WI-SC) identified by unsupervised clustering (n = 2, 14- and 39-year-old donors). (B) Genes differentially expressed (log2 fold change) between α and β cells as assayed by scRNA-Seq (y axis) and bulk RNA-Seq (x axis). (C–F) Gene expression and associated gene ontology term enrichment for α (C and D) and β (E and F) cells by bulk and scRNA-Seq. Scatterplots (C and E) show average expression (unique molecular identifier [UMI] counts) from scRNA-Seq (7269 α; 2511 β) compared with TPM normalized expression of bulk RNA-Seq (10,000 cells/sample) from corresponding populations. Only genes log2TPM > 1 (bulk) and UMI > 1 (single cell) were considered to assess gene detection; r is Pearson’s coefficient and P is significance from t test statistic. Metascape (49) network visualizations (D and F) show enriched ontology terms from genes detected by scRNA-Seq (“SC”) and 1000 genes uniquely detected by bulk RNA-Seq (“Unique Bulk”) that were most differentially expressed in each cell type. Colors correspond to shaded regions of C and E. (G) Principal component analysis (PCA) of sorted α and β cells identified by cell-surface marker expression (FACS-SC) and those derived from dispersed whole islets and identified by unsupervised clustering (WI-SC). (H) Heatmap showing variable expression of known α cell– and β cell–enriched markers within and between each sample. (I) Relative expression of transcription factors across samples; dot size indicates the percentage of cells with detectable transcripts and color indicates gene’s mean expression by z score.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts