Evidence map›Paper›PMID 42686778›Full record

ArticleNature communications2026

Chrono-atlas of cell-type specific daily gene expression rhythms in the regenerating colon.

Vania Carmona-Alcocer, Cédric Gobet, Jessie MacDonald, Zainab Taleb, Felix Naef, Phillip Karpowicz

Abstract read
In one paragraph

Article in Nature communications, 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
–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

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

6 authors.

Vania Carmona-Alcocer *Department of Biomedical Sciences, University of Windsor, Windsor, ON, Canada.
Cédric Gobet *Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5627-3444
Jessie MacDonaldDepartment of Biomedical Sciences, University of Windsor, Windsor, ON, Canada.ORCID http://orcid.org/0009-0005-4237-1912
Zainab TalebDepartment of Biomedical Sciences, University of Windsor, Windsor, ON, Canada.
Felix NaefInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. felix.naef@epfl.ch.ORCID http://orcid.org/0000-0001-9786-3037
Phillip KarpowiczDepartment of Biomedical Sciences, University of Windsor, Windsor, ON, Canada. phillip.karpowicz@uwindsor.ca.ORCID http://orcid.org/0000-0002-3116-4804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The circadian clock is present throughout the body, including the intestine, where it regulates daily physiology through rhythmic gene expression. The large intestine (colon) is composed of many functionally distinct cell types; how daily rhythms in transcript abundance are coordinated in specific cells is not known. Using single-cell transcriptomics, we analyzed 24-hour gene expression rhythms in all major cell types of the colon following injury. Such rhythms are not uniformly distributed: rhythmic genes, including circadian clock components, clock targets, and systemic response programs, differ in their timing, and are cell-type-, region-, or injury- specific. Compared to stromal and muscle cells, which exhibit robust circadian clock rhythms, epithelial cells show weaker oscillations. During regeneration, cells of the epithelium, stroma, and immune system display strong biphasic rhythms in metabolic, protein processing, and temperature response genes, and epithelial clocks are reprogrammed to become 12-hours antiphasic in timing. Our data reveal unexpected complexity in the colon and provide a resource by identifying the cellular source of 24-hour transcript rhythms.

Indexed as

Circadian ClocksCircadian RhythmColonRegenerationAnimalsEpithelial CellsGene Expression ProfilingGene Expression RegulationIntestinal MucosaMaleMiceMice, Inbred C57BLSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscriptome

Identifiers

PMID42686778
PMCPMC13538406

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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.