Single-Cell Transcriptomics of the Human Endocrine Pancreas

Diabetes. 2016 Oct;65(10):3028-38. doi: 10.2337/db16-0405. Epub 2016 Jun 30.

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 α- and β-cells from children exhibit less well-defined gene signatures than those in adults. Remarkably, α- 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 α-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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Cycle / genetics
  • Cell Cycle / physiology
  • Cell Proliferation / genetics
  • Cell Proliferation / physiology
  • Computational Biology / methods
  • Diabetes Mellitus, Type 1 / genetics
  • Diabetes Mellitus, Type 1 / metabolism
  • Diabetes Mellitus, Type 2 / genetics
  • Diabetes Mellitus, Type 2 / metabolism
  • Glucagon-Secreting Cells / cytology
  • Glucagon-Secreting Cells / metabolism
  • Humans
  • Insulin-Secreting Cells / cytology
  • Insulin-Secreting Cells / metabolism
  • Islets of Langerhans / cytology*
  • Islets of Langerhans / metabolism*
  • Microfluidics / methods
  • Signal Transduction / genetics
  • Signal Transduction / physiology
  • Transcriptome / genetics*