ArticleNAR genomics and bioinformatics2020
Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
What it found
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Who cites it
17 citing papers in PubMed, 20 citations in OpenAlex.
- From pancreas and islet resources to diabetes insights.Diabetologia · 2026Review
- Deep single-cell decoding of human pancreatic islets reveals T2D β-cell gene expression defects.The EMBO journal · 2026Article
- From Human to Mouse and Back Again: Genetic and Genomic Ta(i)les of Islet Dysfunction in Type 2 Diabetes.Annual review of genetics · 2025Review
- Current trends in single-cell RNA sequencing applications in diabetes mellitus.FEBS open bio · 2025Review
- Evaluating cell-specific gene expression using single-cell and single-nuclei RNA-sequencing data from human pancreatic islets of the same donors.Scientific reports · 2025Article
- 14-3-3ζ allows for adipogenesis by modulating chromatin accessibility during the early stages of adipocyte differentiation.Molecular metabolism · 2025Article
- Single-cell decoding of human islet cell type-specific alterations in type 2 diabetes reveals converging genetic- and state-drivenbioRxiv : the preprint server for biology · 2025Article
- Pancreatic β-Cell Identity Change through the Lens of Single-Cell Omics Research.International journal of molecular sciences · 2024Review
- Integrative single-cell characterization of a frugivorous and an insectivorous bat kidney and pancreas.Nature communications · 2024Article
- Is 14-3-3 the Combination to Unlock New Pathways to Improve Metabolic Homeostasis and β-Cell Function?Diabetes · 2023Review
- A single-cell human islet interactome atlas identifies disrupted autocrine and paracrine communications in type 2 diabetes.NAR genomics and bioinformatics · 2022Article
- Human alpha cell transcriptomic signatures of types 1 and 2 diabetes highlight disease-specific dysfunction pathways.iScience · 2022Article
- Lessons from single-cell RNA sequencing of human islets.Diabetologia · 2022Review
- DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.PLoS computational biology · 2022Article
- Deciphering regulatory protein activity in human pancreatic islets via reverse engineering of single-cell sequencing data.The Journal of clinical investigation · 2021Article
- Article
- Correction to 'Integration of single-cell datasets reveals novel transcriptomic signatures of β-cells in human type 2 diabetes'.NAR genomics and bioinformatics · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic islet β-cell failure is key to the onset and progression of type 2 diabetes (T2D). The advent of single-cell RNA sequencing (scRNA-seq) has opened the possibility to determine transcriptional signatures specifically relevant for T2D at the β-cell level. Yet, applications of this technique have been underwhelming, as three independent studies failed to show shared differentially expressed genes in T2D β-cells. We performed an integrative analysis of the available datasets from these studies to overcome confounding sources of variability and better highlight common T2D β-cell transcriptomic signatures. After removing low-quality transcriptomes, we retained 3046 single cells expressing 27 931 genes. Cells were integrated to attenuate dataset-specific biases, and clustered into cell type groups. In T2D β-cells (
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.