• Media type: E-Article
  • Title: Integrated transcriptomics contrasts fatty acid metabolism with hypoxia response in β-cell subpopulations associated with glycemic control
  • Contributor: Miranda, Mario A; Macias-Velasco, Juan F; Schmidt, Heather; Lawson, Heather A
  • imprint: Springer Science and Business Media LLC, 2023
  • Published in: BMC Genomics
  • Language: English
  • DOI: 10.1186/s12864-023-09232-5
  • ISSN: 1471-2164
  • Keywords: Genetics ; Biotechnology
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Understanding how heterogeneous β-cell function impacts diabetes is imperative for therapy development. Standard single-cell RNA sequencing analysis illuminates some factors driving heterogeneity, but new strategies are required to enhance information capture.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>We integrate pancreatic islet single-cell and bulk RNA sequencing data to identify β-cell subpopulations based on gene expression and characterize genetic networks associated with β-cell function in obese SM/J mice. We identify β-cell subpopulations associated with basal insulin secretion, hypoxia response, cell polarity, and stress response. Network analysis associates fatty acid metabolism and basal insulin secretion with hyperglycemic-obesity, while expression of <jats:italic>Pdyn</jats:italic> and hypoxia response is associated with normoglycemic-obesity.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>By integrating single-cell and bulk islet transcriptomes, our study explores β-cell heterogeneity and identifies novel subpopulations and genetic pathways associated with β-cell function in obesity.</jats:p> </jats:sec>
  • Access State: Open Access