ArticleiScience2022
Single-cell RNA-seq transcriptomic landscape of human and mouse islets and pathological alterations of diabetes.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- Classifying Diabetic and HealthyComputational and structural biotechnology journal · 2026Article
- Identification and preliminary clinical validation of type 2 diabetes signature genes through machine learning analysis of scRNA-seq data.Frontiers in medicine · 2026Article
- Crosstalk between the aryl hydrocarbon receptor and hypoxia-inducible factor 1α pathways in human islet models.Islets · 2025Article
- Beta cell secreted GABA sets appropriate insulin secretion by modulating islet calcium oscillations.Molecular metabolism · 2025Article
- Current trends in single-cell RNA sequencing applications in diabetes mellitus.FEBS open bio · 2025Review
- Advancements in diabetes research and stem cell therapy: a concise review.Journal of diabetes and metabolic disorders · 2025Review
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- Moderate beta-cell ablation triggers synergic compensatory mechanisms even in the absence of overt metabolic disruption.Communications biology · 2024Article
- Unveiling cell subpopulations in T1D mouse islets using single-cell RNA sequencing.American journal of physiology. Endocrinology and metabolism · 2024Article
- Primary nasal viral infection rewires the tissue-scale memory response.bioRxiv : the preprint server for biology · 2024Article
- The Role of G Protein-Coupled Receptors and Receptor Kinases in PancreaticPharmacological reviews · 2024Review
- Making mouse transcriptomics deconvolution accessible with immunedeconv.Bioinformatics advances · 2024Article
- Delineating mouse β-cell identity during lifetime and in diabetes with a single cell atlas.Nature metabolism · 2023Article
- Charting a high-resolution roadmap for regeneration of pancreatic β cells by in vivo transdifferentiation from adult acinar cells.Science advances · 2023Article
- RNA-based diagnostic innovations: A new frontier in diabetes diagnosis and management.Diabetes & vascular disease researchReview
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA sequencing has paved the way for delineating the pancreatic islet cell atlas and identifying hallmarks of diabetes. However, pathological alterations of type 2 diabetes (T2D) remain unclear. We isolated pancreatic islets from control and T2D mice for single-cell RNA sequencing (scRNA-seq) and retrieved multiple datasets from the open databases. The complete islet cell landscape and robust marker genes and transcription factors of each endocrine cell type were identified. GLRA1 was restricted to beta cells, and beta cells exhibited obvious heterogeneity. The beta subcluster in the T2D mice remarkably decreased the expression of Slc2a2, G6pc2, Mafa, Nkx6-1, Pdx1, and Ucn3 and had higher unfolded protein response (UPR) scores than in the control mice. Moreover, we developed a Web-based interactive tool, creating new opportunities for the data mining of pancreatic islet scRNA-seq datasets. In conclusion, our work provides a valuable resource for a deeper understanding of the pathological mechanism underlying diabetes.
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