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Updated: Jun 16, 2026

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
Published on: July 18, 2019
Multi-organ single-cell RNA sequencing in mice reveals early hyperglycemia responses that converge on fibroblast
Adam T Braithwaite1, Naveed Akbar1, Daniela Pezzolla1
1Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Abstract:
Diabetes causes a range of complications that can affect multiple organs. Hyperglycemia is an important driver of diabetes-associated complications, mediated by biological processes such as dysfunction of endothelial cells, fibrosis, and alterations in leukocyte number and function. Here, we dissected the transcriptional response of key cell types to hyperglycemia across multiple tissues using single-cell RNA sequencing (scRNA-seq) and identified conserved, as well as organ-specific, changes associated with diabetes complications. By studying an early time point of diabetes, we focus on biological processes involved in the initiation of the disease, before the later organ-specific manifestations had supervened. We used a mouse model of type 1 diabetes and performed scRNA-seq on cells isolated from the heart, kidney, liver, and spleen of streptozotocin-treated and control male mice after 8 weeks and assessed differences in cell abundance, gene expression, pathway activation, and cell signaling across organs and within organs. In response to hyperglycemia, endothelial cells, macrophages, and monocytes displayed organ-specific transcriptional responses, whereas fibroblasts showed similar responses across organs, exhibiting altered metabolic gene expression and increased myeloid-like fibroblasts. Furthermore, we found evidence of endothelial dysfunction in the kidney, and of endothelial-to-mesenchymal transition in streptozotocin-treated mouse organs. In summary, our study represents the first single-cell and multi-organ analysis of early dysfunction in type 1 diabetes-associated hyperglycemia, and our large-scale dataset (comprising 67 611 cells) will serve as a starting point, reference atlas, and resource for further investigating the events leading to early diabetic disease.
Insights
This study reveals how high blood sugar (hyperglycemia) impacts different cell types across organs in early type 1 diabetes. It identifies conserved and organ-specific cellular changes, offering insights into disease initiation.
Area of Science:
- Molecular Biology
- Genomics
- Pathology
Background:
- Diabetes mellitus leads to multi-organ complications.
- Hyperglycemia drives these complications via endothelial dysfunction, fibrosis, and altered leukocyte function.
- Understanding early cellular responses is crucial for preventing later disease manifestations.
Purpose of the Study:
- To dissect the transcriptional response of key cell types to hyperglycemia across multiple tissues in an early type 1 diabetes model.
- To identify conserved and organ-specific transcriptional changes associated with hyperglycemia.
- To provide a foundational dataset for future research into early diabetic disease.
Main Methods:
- Utilized a mouse model of type 1 diabetes induced by streptozotocin.
- Employed single-cell RNA sequencing (scRNA-seq) on cells from heart, kidney, liver, and spleen.
- Analyzed cell abundance, gene expression, pathway activation, and cell signaling.
Main Results:
- Hyperglycemia induced organ-specific transcriptional responses in endothelial cells, macrophages, and monocytes.
- Fibroblasts exhibited conserved responses across organs, with altered metabolic gene expression and increased myeloid-like fibroblasts.
- Evidence of endothelial dysfunction and endothelial-to-mesenchymal transition was observed in affected organs.
Conclusions:
- This is the first single-cell, multi-organ analysis of early hyperglycemia-induced dysfunction in type 1 diabetes.
- The study provides a valuable dataset for understanding the initiation of diabetic complications.
- Identified conserved and organ-specific cellular alterations offer targets for early intervention.

