Evidence map›Paper›PMID 37158788›Full record

ArticleMolecular systems biology2023

Transcription factor expression is the main determinant of variability in gene co-activity.

Lucas van Duin, Robert Krautz, Sarah Rennie, Robin Andersson

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Interaction Between Enhancers and Promoters in Chicken Genome.International journal of molecular sciences · 2025
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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

4 authors at 1 institution in 1 country.

Lucas van DuinSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1293-8285
Robert KrautzSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-0457-1348
Sarah RennieSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-9731-6957
Robin AnderssonSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-1516-879X
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants of domain co-activity remain unclear. Here, we leverage human individual variation in gene expression to characterize the co-regulatory processes underlying domain co-activity and systematically quantify their effect sizes. We employ transcriptional decomposition to extract from RNA expression data an expression component related to co-activity revealed by genomic positioning. This strategy reveals close to 1,500 co-activity domains, covering most expressed genes, of which the large majority are invariable across individuals. Focusing specifically on domains with high variability in co-activity reveals that contained genes have a higher sharing of eQTLs, a higher variability in enhancer interactions, and an enrichment of binding by variably expressed transcription factors, compared to genes within non-variable domains. Through careful quantification of the relative contributions of regulatory processes underlying co-activity, we find transcription factor expression levels to be the main determinant of gene co-activity. Our results indicate that distal trans effects contribute more than local genetic variation to individual variation in co-activity domains.

Indexed as

Gene Expression RegulationTranscription FactorsGenomeGenomicsHumansTranscription Factorsco-activity domainsco-regulationgene regulationindividual variationtranscriptional decomposition

Identifiers

PMID37158788
PMCPMC10333863
OpenAlexW4375955853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.