ArticleCell metabolism2016
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes.
Article in Cell metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 400 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
400 citing papers in PubMed, 1 synthesis or guideline pooled it, 748 citations in OpenAlex.
- PancrESS - a meta-analysis resource for understanding cell-type specific expression in the human pancreas.BMC genomics · 2024Pooled it
- Interpretable scRNA-seq Analysis with Intelligent Gene Selection.Applied biochemistry and biotechnology · 2026Article
- Article
- Proteomic analysis of pancreatic endocrine cells by mechanistic single-cell isolation identifies membrane pathways.Experimental & molecular medicine · 2026Article
- COBRA: cell-type-specific orthogonal batch effect removal algorithm in single cell RNA-sequencing data.Bioinformatics (Oxford, England) · 2026Article
- Activation of GScience advances · 2026Article
- Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.BioData mining · 2026Article
- Multi-omic single nuclei profiling of murine pancreas shows dynamic epigenetic heterogeneity of acinar cells.Cell death and differentiation · 2026Article
- scGenoByte: a GenoByte embedding transformer with biological priors for cell type annotation.Briefings in bioinformatics · 2026Article
- Pancreatic β-cell aging in physiology and diabetes: emerging roles of m6A mRNA methylation.Journal of molecular endocrinology · 2026Review
- Deep single-cell decoding of human pancreatic islets reveals T2D β-cell gene expression defects.The EMBO journal · 2026Article
- mmContext: an open framework for multimodal contrastive learning of omics and text data.Bioinformatics (Oxford, England) · 2026Article
- Stromal and Neuronal Sources of Slit2/3 Ligands in the Adult Pancreas Exhibit Distinct Expression Patterns Independent of Robo2 Receptor Expression in the Islet.bioRxiv : the preprint server for biology · 2026Article
- Article
- CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.Nucleic acids research · 2026Article
- TBL1X/TBL1XR1 govern β-cell identity through a PAX6-containing gene regulatory network.Nature communications · 2026Article
- Glycine-GLRA1-calmodulin signaling regulates endoplasmic reticulum calcium to sustain insulin secretion and β-cell function.Life metabolism · 2026Article
- scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data.Briefings in bioinformatics · 2026Article
- Multi-species integration, alignment and annotation of single-cell RNA-seq data with CAMEX.Nature communications · 2026Article
- Embeddings from language models are good learners for single-cell data analysis.Patterns (New York, N.Y.) · 2026Article
340 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic islet cells are critical for maintaining normal blood glucose levels, and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic α, β, δ, and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell-type-specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human α and β cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.
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What OpenQuestion 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 OpenQuestion graph.