Nature Communications (Sep 2023)

Single cell multiomic analysis reveals diabetes-associated β-cell heterogeneity driven by HNF1A

  • Chen Weng,
  • Anniya Gu,
  • Shanshan Zhang,
  • Leina Lu,
  • Luxin Ke,
  • Peidong Gao,
  • Xiaoxiao Liu,
  • Yuntong Wang,
  • Peinan Hu,
  • Dylan Plummer,
  • Elise MacDonald,
  • Saixian Zhang,
  • Jiajia Xi,
  • Sisi Lai,
  • Konstantin Leskov,
  • Kyle Yuan,
  • Fulai Jin,
  • Yan Li

DOI
https://doi.org/10.1038/s41467-023-41228-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 17

Abstract

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Abstract Broad heterogeneity in pancreatic β-cell function and morphology has been widely reported. However, determining which components of this cellular heterogeneity serve a diabetes-relevant function remains challenging. Here, we integrate single-cell transcriptome, single-nuclei chromatin accessibility, and cell-type specific 3D genome profiles from human islets and identify Type II Diabetes (T2D)-associated β-cell heterogeneity at both transcriptomic and epigenomic levels. We develop a computational method to explicitly dissect the intra-donor and inter-donor heterogeneity between single β-cells, which reflect distinct mechanisms of T2D pathogenesis. Integrative transcriptomic and epigenomic analysis identifies HNF1A as a principal driver of intra-donor heterogeneity between β-cells from the same donors; HNF1A expression is also reduced in β-cells from T2D donors. Interestingly, HNF1A activity in single β-cells is significantly associated with lower Na+ currents and we nominate a HNF1A target, FXYD2, as the primary mitigator. Our study demonstrates the value of investigating disease-associated single-cell heterogeneity and provides new insights into the pathogenesis of T2D.