| First Author | Hrovatin K | Year | 2023 |
| Journal | Nat Metab | Volume | 5 |
| Issue | 9 | Pages | 1615-1637 |
| PubMed ID | 37697055 | Mgi Jnum | J:385689 |
| Mgi Id | MGI:8163592 | Doi | 10.1038/s42255-023-00876-x |
| Citation | Hrovatin K, et al. (2023) Delineating mouse beta-cell identity during lifetime and in diabetes with a single cell atlas. Nat Metab 5(9):1615-1637 |
| abstractText | Although multiple pancreatic islet single-cell RNA-sequencing (scRNA-seq) datasets have been generated, a consensus on pancreatic cell states in development, homeostasis and diabetes as well as the value of preclinical animal models is missing. Here, we present an scRNA-seq cross-condition mouse islet atlas (MIA), a curated resource for interactive exploration and computational querying. We integrate over 300,000 cells from nine scRNA-seq datasets consisting of 56 samples, varying in age, sex and diabetes models, including an autoimmune type 1 diabetes model (NOD), a glucotoxicity/lipotoxicity type 2 diabetes model (db/db) and a chemical streptozotocin beta-cell ablation model. The beta-cell landscape of MIA reveals new cell states during disease progression and cross-publication differences between previously suggested marker genes. We show that beta-cells in the streptozotocin model transcriptionally correlate with those in human type 2 diabetes and mouse db/db models, but are less similar to human type 1 diabetes and mouse NOD beta-cells. We also report pathways that are shared between beta-cells in immature, aged and diabetes models. MIA enables a comprehensive analysis of beta-cell responses to different stressors, providing a roadmap for the understanding of beta-cell plasticity, compensation and demise. |
