Evidence map›Paper›PMID 30042179›Full record

ArticleDevelopment (Cambridge, England)2018

Understanding human fetal pancreas development using subpopulation sorting, RNA sequencing and single-cell profiling.

Cyrille Ramond, Belin Selcen Beydag-Tasöz, Ajuna Azad, Martijn van de Bunt, Maja Borup Kjær Petersen, Nicola L Beer, Nicolas Glaser, Claire Berthault, Anna L Gloyn, Mattias Hansson and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Development (Cambridge, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 122 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

14 authors at 5 institutions in 3 countries.

Cyrille RamondDepartment of Endocrinology, Metabolism and Diabetes, Inserm U1016, Cochin Institute, Paris 75014, France.
Belin Selcen Beydag-TasözThe Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), Faculty of Health Sciences, University of Copenhagen, Copenhagen 2200, Denmark.ORCID 0000-0002-0804-1291
Ajuna AzadThe Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), Faculty of Health Sciences, University of Copenhagen, Copenhagen 2200, Denmark.ORCID 0000-0002-2846-6019
Martijn van de BuntWellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.ORCID 0000-0002-6744-6125
Maja Borup Kjær PetersenThe Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), Faculty of Health Sciences, University of Copenhagen, Copenhagen 2200, Denmark.ORCID 0000-0003-0944-6175
Nicola L BeerOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Old Road, Headington, Oxford OX3 7LJ, UK.ORCID 0000-0002-4964-7150
Nicolas GlaserDepartment of Endocrinology, Metabolism and Diabetes, Inserm U1016, Cochin Institute, Paris 75014, France.ORCID 0000-0002-3231-5889
Claire BerthaultDepartment of Endocrinology, Metabolism and Diabetes, Inserm U1016, Cochin Institute, Paris 75014, France.ORCID 0000-0001-6848-0993
Anna L GloynWellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.ORCID 0000-0003-1205-1844
Mattias HanssonStem Cell Research, Novo Nordisk A/S, Novo Nordisk Park, Måløv 2760, Denmark.
Mark I McCarthyWellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK.
Christian HonoréDepartment of Stem Cell Biology, Novo Nordisk A/S, Novo Nordisk Park, Måløv 2760, Denmark.ORCID 0000-0003-4846-1319
Anne Grapin-BottonThe Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), Faculty of Health Sciences, University of Copenhagen, Copenhagen 2200, Denmark anne.grapin-botton@sund.ku.dk raphael.scharfmann@inserm.fr.ORCID 0000-0002-1202-5235
Raphael ScharfmannDepartment of Endocrinology, Metabolism and Diabetes, Inserm U1016, Cochin Institute, Paris 75014, France anne.grapin-botton@sund.ku.dk raphael.scharfmann@inserm.fr.ORCID 0000-0001-7619-337X
Délégation Paris 5 · FRUniversity of Copenhagen · DKCentre for Human Genetics · GBNovo Nordisk (Denmark) · DKChurchill Hospital · GB

Funding

Wellcome Trust 200837/Z/16/Z
6 · The paper itself

Abstract

To decipher the populations of cells present in the human fetal pancreas and their lineage relationships, we developed strategies to isolate pancreatic progenitors, endocrine progenitors and endocrine cells. Transcriptome analysis of the individual populations revealed a large degree of conservation among vertebrates in the drivers of gene expression changes that occur at different steps of differentiation, although notably, sometimes, different members of the same gene family are expressed. The transcriptome analysis establishes a resource to identify novel genes and pathways involved in human pancreas development. Single-cell profiling further captured intermediate stages of differentiation and enabled us to decipher the sequence of transcriptional events occurring during human endocrine differentiation. Furthermore, we evaluate how well individual pancreatic cells derived

Indexed as

Flow CytometryGene Expression ProfilingFetusGene Expression Regulation, DevelopmentalHumansPancreasPluripotent Stem CellsTranscription, GeneticDiabetesEndocrineHumanIsletsPancreasStem cells

Identifiers

PMID30042179
PMCPMC6124547
OpenAlexW2884354973

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.