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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.
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Resource and Technical Advance Cell biology Endocrinology

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

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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.

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

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Figure 3

Transcription factor expression in human pancreatic islets by scRNA-Seq.

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Transcription factor expression in human pancreatic islets by scRNA-Seq....
(A) UMAP visualization of 44,953 pancreatic islet cells from n = 5 islet preparations, identified by unsupervised clustering; cell populations include β (24%), α (54%), δ (2.5%), ε (0.08%), acinar (3.3%), ductal (4.7%), endothelial (2.2%), stellate (7.7%), and immune cells (0.5%). Cell clusters were annotated using known gene markers (Supplemental Table 2). Populations of γ and ε cells could not be resolved from the δ cell cluster; thus, these populations were manually selected using the “CellSelector” function to identify cells positive for PPY and GHRL, respectively. Libraries were sequenced at approximately 80,000 reads/cell yielding a median of 2365 genes per cell. (B) Dot plot showing relative expression of cell-type markers to validate cell-type annotation after unsupervised clustering. (C) Dot plot showing relative expression of transcription factors across all cell types. In B and C, dot size indicates the percentage of cells with detectable transcripts; color indicates gene’s mean expression z score. (D) Detected levels of common transcription factors expressed in α and β cells expressed as natural log (unique molecular identifiers per 10,000 + 1).

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