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Single-cell transcriptomics of the human endocrine pancreas

  • Yue J. Wang
  • , Jonathan Schug
  • , Kyoung Jae Won
  • , Chengyang Liu
  • , Ali Naji
  • , Dana Avrahami
  • , Maria L. Golson
  • , Klaus H. Kaestner

Research output: Contribution to journalArticlepeer-review

Abstract

Human pancreatic islets consist of multiple endocrine cell types. To facilitate the detection of rare cellular states and uncover population heterogeneity, we performed single-cell RNA sequencing (RNA-seq) on islets from multiple deceased organ donors, including children, healthy adults, and individuals with type 1 or type 2 diabetes. We developed a robust computational biology framework for cell type annotation. Using this framework, we show that a- and β-Cells from children exhibit less well-defined gene signatures than those in adults. Remarkably, a- and β-Cells from donors with type 2 diabetes have expression profiles with features seen in children, indicating a partial dedifferentiation process. We also examined a naturally proliferating α-cell from a healthy adult, for which pathway analysis indicated activation of the cell cycle and repression of checkpoint control pathways. Importantly, this replicating α-cell exhibited activated Sonic hedgehog signaling, a pathway not previously known to contribute to human a-cell proliferation. Our study highlights the power of single-cell RNA-seq and provides a stepping stone for future explorations of cellular heterogeneity in pancreatic endocrine cells.

Original languageEnglish
Pages (from-to)3028-3038
Number of pages11
JournalDiabetes
Volume65
Issue number10
DOIs
StatePublished - 1 Oct 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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