Evidence map›Paper›PMID 29675560›Full record

ArticleDiabetologia2018

Patterns of differential gene expression in a cellular model of human islet development, and relationship to type 2 diabetes predisposition.

Marta Perez-Alcantara, Christian Honoré, Agata Wesolowska-Andersen, Anna L Gloyn, Mark I McCarthy, Mattias Hansson, Nicola L Beer, Martijn van de Bunt

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Marta Perez-AlcantaraWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Christian HonoréDepartment of Stem Cell Biology, Novo Nordisk A/S, Maaloev, Denmark.
Agata Wesolowska-AndersenWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Anna L GloynWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Mark I McCarthyWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Mattias HanssonDepartment of Stem Cell Research, Novo Nordisk A/S, Maaloev, Denmark.
Nicola L BeerOxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Old Road, Oxford, OX3 7LE, UK. nicolabeer.nb@gmail.com.
Martijn van de BuntWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Centre for Human Genetics · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GBNovo Nordisk (Denmark) · DK

Funding

Medical Research Council MR/L020149/1Wellcome Trust 090532Wellcome Trust 095101Wellcome Trust 098381Wellcome Trust 106130Wellcome Trust 200837Wellcome Trust 200837/Z/16/ZWellcome Trust 203141Wellcome Trust H5R00430
6 · The paper itself

Abstract

aims/hypothesisMost type 2 diabetes-associated genetic variants identified via genome-wide association studies (GWASs) appear to act via the pancreatic islet. Observed defects in insulin secretion could result from an impact of these variants on islet development and/or the function of mature islets. Most functional studies have focused on the latter, given limitations regarding access to human fetal islet tissue. Capitalising upon advances in in vitro differentiation, we characterised the transcriptomes of human induced pluripotent stem cell (iPSC) lines differentiated along the pancreatic endocrine lineage, and explored the contribution of altered islet development to the pathogenesis of type 2 diabetes.

methodsWe performed whole-transcriptome RNA sequencing of human iPSC lines from three independent donors, at baseline and at seven subsequent stages during in vitro islet differentiation. Differentially expressed genes (q < 0.01, log

resultsWe identified 9409 differentially expressed genes across all stages, including many known markers of islet development. Integration of differential expression data with information on transcription factor motifs highlighted the potential contribution of REST to islet development. Over 70% of genes mapping within type 2 diabetes-associated credible intervals showed peak differential expression during islet development, and type 2 diabetes GWAS loci of largest effect (including TCF7L2; log CONCLUSIONS/

interpretationThe present study characterises RNA expression profiles during human islet differentiation, identifies potential transcriptional regulators of the differentiation process, and suggests that the inherited predisposition to type 2 diabetes is partly mediated through modulation of islet development. DATA AVAILABILITY: Sequence data for this study has been deposited at the European Genome-phenome Archive (EGA), under accession number EGAS00001002721.

Indexed as

Gene Expression RegulationCell DifferentiationCell LineCell LineageDiabetes Mellitus, Type 2Gene Regulatory NetworksGenetic Predisposition to DiseaseHumansInduced Pluripotent Stem CellsIslets of LangerhansRisk FactorsTranscription FactorsTranscriptomeTranscription FactorsDiabetesEndocrine pancreasIn vitro differentiationIsletsStem cellsTranscriptome

Identifiers

PMID29675560
PMCPMC6354904
OpenAlexW2802585097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.