Evidence map›Paper›PMID 32469933›Full record

ArticlePloS one2020

A transcriptome-based approach to identify functional modules within and across primary human immune cells.

Saraï Mola, Sylvain Foisy, Gabrielle Boucher, François Major, Claudine Beauchamp, Mohamad Karaky, Philippe Goyette, Sylvie Lesage, John D Rioux

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

9 authors.

Saraï MolaCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
Sylvain FoisyCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
Gabrielle BoucherCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
François MajorUnité de recherche en ingénierie des ARN, Institut de recherche en immunologie et en cancérologie, Montréal, Québec, Canada.
Claudine BeauchampCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
Mohamad KarakyCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
Philippe GoyetteCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.
Sylvie LesageCentre de recherche, Hôpital Maisonneuve-Rosemont, Montréal, Québec, Canada.
John D RiouxCentre de recherche, Institut de cardiologie de Montréal, Montréal, Québec, Canada.ORCID 0000-0001-7560-8326

Funding

CIHR SCA-145105Wellcome Trust 102170
6 · The paper itself

Abstract

Genome-wide transcriptomic analyses have provided valuable insight into fundamental biology and disease pathophysiology. Many studies have taken advantage of the correlation in the expression patterns of the transcriptome to infer a potential biologic function of uncharacterized genes, and multiple groups have examined the relationship between co-expression, co-regulation, and gene function on a broader scale. Given the unique characteristics of immune cells circulating in the blood, we were interested in determining whether it was possible to identify functional co-expression modules in human immune cells. Specifically, we sequenced the transcriptome of nine immune cell types from peripheral blood cells of healthy donors and, using a combination of global and targeted analyses of genes within co-expression modules, we were able to determine functions for these modules that were cell lineage-specific or shared among multiple cell lineages. In addition, our analyses identified transcription factors likely important for immune cell lineage commitment and/or maintenance.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAdultCell LineageHematopoiesisHumansImmune SystemLeukocytes, MononuclearMaleSequence Analysis, RNATranscription FactorsTranscription Factors

Identifiers

PMID32469933
PMCPMC7259617

What OpenQuestion holds

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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.