Evidence map›Paper›PMID 42766699›Full record

ArticlePLoS computational biology2026

Developmental and tissue expression breadth define distinct but overlapping classes of housekeeping genes.

Alicia Lou, Juan F Poyatos, Monica Chagoyen

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alicia LouCentro Nacional de Biotecnologia (CNB-CSIC), Madrid, Spain.
Juan F PoyatosMuseo Nacional de Ciencias Naturales (MNCN-CSIC), Madrid, Spain.
Monica ChagoyenCentro de Neurociencias Cajal (CNC-CSIC), Madrid, Spain.ORCID https://orcid.org/0000-0001-6911-1591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Housekeeping genes are commonly defined as broadly expressed genes that support essential cellular function. However, their identification in genome-wide datasets typically relies on spatial variation across adult tissues, while largely overlooking developmental time as an additional dimension of gene expression diversity. Here, we systematically compare gene expression breadth across developmental stages and adult tissues using zebrafish (Danio rerio) transcriptomic datasets that span embryogenesis and differentiated tissues. We classify genes according to their temporal expression breadth during development and examine how these patterns relate to traditional tissue-based definitions of housekeeping genes. As expected, developmental and adult expression breadth show only partial concordance: while a core set of genes is broadly expressed across both dimensions, many genes that are ubiquitous across adult tissues exhibit restricted expression during embryogenesis, and some genes expressed throughout development later become tissue-specific. Genes expressed across all developmental stages are enriched for fundamental cellular processes, show strong evolutionary conservation, and are associated with highly pleiotropic phenotypes. Notably, genes expressed during restricted developmental windows-particularly around gastrulation-can also play essential roles. These results highlight that expression ubiquity depends on both temporal and spatial context and underscore the importance of considering both dimensions explicitly when identifying and interpreting broadly expressed genes. More broadly, our analysis provides a framework for comparing developmental and tissue expression breadth and for exploring how gene expression dynamics across the life cycle relate to functional and evolutionary constraints.

Indexed as

Gene Expression Regulation, DevelopmentalGenes, EssentialZebrafishAnimalsComputational BiologyEmbryonic DevelopmentGene Expression ProfilingOrgan SpecificityTranscriptome

Identifiers

PMID42766699
PMCPMC13607803

What OpenQuestion holds

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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.