Pseudotime Ordering of Single Human β-Cells Reveals States of Insulin Production and Unfolded Protein Response

Diabetes. 2018 Sep;67(9):1783-1794. doi: 10.2337/db18-0365. Epub 2018 Jun 27.

Abstract

Proinsulin is a misfolding-prone protein, making its biosynthesis in the endoplasmic reticulum (ER) a stressful event. Pancreatic β-cells overcome ER stress by activating the unfolded protein response (UPR) and reducing insulin production. This suggests that β-cells transition between periods of high insulin biosynthesis and UPR-mediated recovery from cellular stress. We now report the pseudotime ordering of single β-cells from humans without diabetes detected by large-scale RNA sequencing. We identified major states with 1) low UPR and low insulin gene expression, 2) low UPR and high insulin gene expression, or 3) high UPR and low insulin gene expression. The latter state was enriched for proliferating cells. Stressed human β-cells do not dedifferentiate and show little propensity for apoptosis. These data suggest that human β-cells transition between states with high rates of biosynthesis to fulfill the body's insulin requirements to maintain normal blood glucose levels and UPR-mediated recovery from ER stress due to high insulin production.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / metabolism
  • Cell Proliferation
  • Cells, Cultured
  • Databases, Genetic
  • Endoplasmic Reticulum Stress*
  • Gene Expression Profiling
  • Gene Expression Regulation*
  • Humans
  • In Situ Hybridization, Fluorescence
  • Insulin / chemistry
  • Insulin / genetics
  • Insulin / metabolism*
  • Insulin Secretion
  • Insulin-Secreting Cells / cytology
  • Insulin-Secreting Cells / metabolism*
  • Kinetics
  • Multigene Family
  • Nucleotide Mapping
  • Oligonucleotide Array Sequence Analysis
  • Principal Component Analysis
  • Proinsulin / chemistry
  • Proinsulin / genetics
  • Proinsulin / metabolism*
  • RNA, Messenger / chemistry
  • RNA, Messenger / metabolism
  • Sequence Analysis, RNA
  • Single-Cell Analysis
  • Transcription Factors / genetics
  • Transcription Factors / metabolism*
  • Unfolded Protein Response*

Substances

  • Biomarkers
  • Insulin
  • RNA, Messenger
  • Transcription Factors
  • Proinsulin