Evidence map›Paper›PMID 25886751›Full record

ArticleBiology direct2015

An atlas of mouse CD4(+) T cell transcriptomes.

Michael Jt Stubbington, Bidesh Mahata, Valentine Svensson, Andrew Deonarine, Jesper K Nissen, Alexander G Betz, Sarah A Teichmann

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  20. IFNγ-induction of TNature immunology · 2023
    Article

6 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

7 authors at 3 institutions in 1 country.

Michael Jt StubbingtonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. mstubb@ebi.ac.uk.
Bidesh MahataEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. bmahata@ebi.ac.uk.
Valentine SvenssonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. vale@ebi.ac.uk.
Andrew DeonarineMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK. andrew_deo@hotmail.com.
Jesper K NissenMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK. jesper.klinto@gmail.com.
Alexander G BetzMRC Laboratory of Molecular Biology, Cambridge, CB2 0QH, UK. betz@ebi.ac.uk.
Sarah A TeichmannEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. saraht@ebi.ac.uk.
MRC Laboratory of Molecular Biology · GBWellcome Trust · GBWellcome Sanger Institute · GB

Funding

European Research Council 260507Medical Research Council MC_U105184296
6 · The paper itself

Abstract

backgroundCD4(+) T cells are key regulators of the adaptive immune system and can be divided into T helper (Th) cells and regulatory T (Treg) cells. During an immune response Th cells mature from a naive state into one of several effector subtypes that exhibit distinct functions. The transcriptional mechanisms that underlie the specific functional identity of CD4(+) T cells are not fully understood.

resultsTo assist investigations into the transcriptional identity and regulatory processes of these cells we performed mRNA-sequencing on three murine T helper subtypes (Th1, Th2 and Th17) as well as on splenic Treg cells and induced Treg (iTreg) cells. Our integrated analysis of this dataset revealed the gene expression changes associated with these related but distinct cellular identities. Each cell subtype differentially expresses a wealth of 'subtype upregulated' genes, some of which are well known whilst others promise new insights into signalling processes and transcriptional regulation. We show that hundreds of genes are regulated purely by alternative splicing to extend our knowledge of the role of post-transcriptional regulation in cell differentiation.

conclusionsThis CD4(+) transcriptome atlas provides a valuable resource for the study of CD4(+) T cell populations. To facilitate its use by others, we have made the data available in an easily accessible online resource at www.th-express.org.

Indexed as

Gene Expression RegulationTranscriptomeAlternative SplicingAnimalsCell DifferentiationCluster AnalysisFlow CytometryGene Expression ProfilingImmune SystemMiceMice, Inbred C57BLPrincipal Component AnalysisProtein IsoformsRNA, MessengerSequence Analysis, RNASignal TransductionProtein IsoformsRNA, Messenger

Identifiers

PMID25886751
PMCPMC4384382
OpenAlexW2055907677

What OpenQuestion holds

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LicenceCC BY
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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.