DOI: 10.1152/ajpendo.00323.2023 ISSN: 0193-1849

Unveiling cell subpopulations in T1D mouse islets using single-cell RNA sequencing

Huan Yang, Junming Luo, Xuyang Liu, Yue Luo, Xiaoyang Lai, Fang Zou
  • Physiology (medical)
  • Physiology
  • Endocrinology, Diabetes and Metabolism

Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of β cells by immune cells. The interactions among cells within the islets may be closely linked to the pathogenesis of T1D. In this study, we utilized single-cell RNA sequencing (scRNA-seq) to analyze the cellular heterogeneity within the islets of a T1D mouse model. We established a T1D mouse model induced by streptozotocin and identified cell subpopulations using scRNA-seq technology. Our results revealed 11 major cell types in the pancreatic islets of T1D mice, with heterogeneity observed in the alpha and beta cell subgroups, which may play a crucial role in the progression of T1D. Flow cytometry further confirmed a mature alpha and beta cell reduction in T1D mice. Overall, our scRNA-seq analysis provided insights into the cellular heterogeneity of T1D islet tissue and highlighted the potential importance of alpha and beta cells in developing T1D. NEW & NOTEWORTHY Created a comprehensive single-cell atlas of pancreatic islets in a T1D mouse model using scRNA-seq. Identified 11 major cell types in the islets, highlighting the role of alpha and beta cells in T1D. Revealed significant reduction in maturity alpha and beta cells in T1D mice through flow cytometry. Demonstrated the heterogeneity of alpha and beta cells, potentially crucial for T1D progression. Provided new insights for understanding and treating T1D by studying cell subtype changes and functions.

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