ArticleCell systems2016
A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.
Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 868 papers, 2 of them syntheses 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.
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Who cites it
868 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,729 citations in OpenAlex.
- A contextual genomic perspective on physical activity and its relationship to health, well being and illness.Nature genetics · 2025Pooled it
- Single-Cell Meta-Analysis Uncovers the Pancreatic Endothelial Cell Transcriptomic Signature and Reveals a Key Role for NKX2-3 in PLVAP Expression.Arteriosclerosis, thrombosis, and vascular biology · 2024Pooled it
- Single nucleus multiomics reveals an early inflammatory response to high-fat diet in mouse islets.Life science alliance · 2026Article
- scDGCN: A Graph-Based Deep Clustering Framework for Single-Cell Transcriptomics via Neighborhood-Enhanced Context Representation Learning.Interdisciplinary sciences, computational life sciences · 2026Article
- Proteomic Insights into Molybdenum-Induced Pancreatic Injury in Goats.Biological trace element research · 2026Article
- Free fatty acid receptor 4 agonism stimulates insulin secretion via different mechanisms in mouse vs human islets.Endocrinology · 2026Article
- Proteomic analysis of pancreatic endocrine cells by mechanistic single-cell isolation identifies membrane pathways.Experimental & molecular medicine · 2026Article
- Developmental Control of DNA Damage Responses in α- and β-Cells Shapes the Selective β-Cell Susceptibility in Diabetes.Diabetes · 2026Article
- Article
- COBRA: cell-type-specific orthogonal batch effect removal algorithm in single cell RNA-sequencing data.Bioinformatics (Oxford, England) · 2026Article
- scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.Interdisciplinary sciences, computational life sciences · 2026Article
- Sex-specific signatures of fetal programming for gestational diabetes mellitus in umbilical cord: A cohort study from Tanzania.BMC medicine · 2026Observational
- Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data.BioData mining · 2026Article
- iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.PLoS computational biology · 2026Article
- ScanNet: Single-cell annotation informed by transcriptional regulation Network via iterative heterogeneous graph learning.PLoS computational biology · 2026Article
- Article
- Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026Article
- The basal cell state maintains pancreatic cancers by controlling an immunosuppressive circuit.bioRxiv : the preprint server for biology · 2026Article
- A 3D spatial proteomic map of the human pancreatic islet microenvironment.Research square · 2026Article
- Multi-omic single nuclei profiling of murine pancreas shows dynamic epigenetic heterogeneity of acinar cells.Cell death and differentiation · 2026Article
808 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
Although the function of the mammalian pancreas hinges on complex interactions of distinct cell types, gene expression profiles have primarily been described with bulk mixtures. Here we implemented a droplet-based, single-cell RNA-seq method to determine the transcriptomes of over 12,000 individual pancreatic cells from four human donors and two mouse strains. Cells could be divided into 15 clusters that matched previously characterized cell types: all endocrine cell types, including rare epsilon-cells; exocrine cell types; vascular cells; Schwann cells; quiescent and activated stellate cells; and four types of immune cells. We detected subpopulations of ductal cells with distinct expression profiles and validated their existence with immuno-histochemistry stains. Moreover, among human beta- cells, we detected heterogeneity in the regulation of genes relating to functional maturation and levels of ER stress. Finally, we deconvolved bulk gene expression samples using the single-cell data to detect disease-associated differential expression. Our dataset provides a resource for the discovery of novel cell type-specific transcription factors, signaling receptors, and medically relevant genes.
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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.