Evidence map›Paper›PMID 27864352›Full record

ArticleGenome research2017

Single-cell transcriptomes identify human islet cell signatures and reveal cell-type-specific expression changes in type 2 diabetes.

Nathan Lawlor, Joshy George, Mohan Bolisetty, Romy Kursawe, Lili Sun, V Sivakamasundari, Ina Kycia, Paul Robson, Michael L Stitzel

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 331 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
331citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

331 citing papers in PubMed, 4 syntheses or guidelines pooled it, 630 citations in OpenAlex.

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  11. Organism-scale annotation with Pan-human Azimuth.bioRxiv : the preprint server for biology · 2026
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  13. Identification of Biomarkers forCurrent issues in molecular biology · 2026
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271 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Nathan LawlorThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID 0000-0003-3263-6057
Joshy GeorgeThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID 0000-0001-8510-8229
Mohan BolisettyThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
Romy KursaweThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
Lili SunThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
V SivakamasundariThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
Ina KyciaThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.
Paul RobsonThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID 0000-0002-0191-3958
Michael L StitzelThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA.ORCID 0000-0001-5630-559X
Jackson Laboratory · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood glucose levels are tightly controlled by the coordinated action of at least four cell types constituting pancreatic islets. Changes in the proportion and/or function of these cells are associated with genetic and molecular pathophysiology of monogenic, type 1, and type 2 (T2D) diabetes. Cellular heterogeneity impedes precise understanding of the molecular components of each islet cell type that govern islet (dys)function, particularly the less abundant delta and gamma/pancreatic polypeptide (PP) cells. Here, we report single-cell transcriptomes for 638 cells from nondiabetic (ND) and T2D human islet samples. Analyses of ND single-cell transcriptomes identified distinct alpha, beta, delta, and PP/gamma cell-type signatures. Genes linked to rare and common forms of islet dysfunction and diabetes were expressed in the delta and PP/gamma cell types. Moreover, this study revealed that delta cells specifically express receptors that receive and coordinate systemic cues from the leptin, ghrelin, and dopamine signaling pathways implicating them as integrators of central and peripheral metabolic signals into the pancreatic islet. Finally, single-cell transcriptome profiling revealed genes differentially regulated between T2D and ND alpha, beta, and delta cells that were undetectable in paired whole islet analyses. This study thus identifies fundamental cell-type-specific features of pancreatic islet (dys)function and provides a critical resource for comprehensive understanding of islet biology and diabetes pathogenesis.

Indexed as

Single-Cell AnalysisCarrier ProteinsDiabetes Mellitus, Type 2Gene Expression ProfilingGene Expression RegulationHumansIslets of LangerhansSignal TransductionTranscriptomeCarrier Proteins

Identifiers

PMID27864352
PMCPMC5287227
OpenAlexW2551194178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.