Evidence map›Paper›PMID 41292729›Full record

ArticlebioRxiv : the preprint server for biology2025

Cell type-independent timekeeping gene modules enable embryonic stage prediction in zebrafish.

Rupa Kanchi, Sandra L Grimm, Divya Vella, Richard Saoud, Tanmay Gandhi, Amrit Koirala, Ailen Cervino, Jacalyn MacGowan, Cristian Coarfa, Margot Kossmann Williams

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

10 authors.

Rupa KanchiMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Sandra L GrimmMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Divya VellaMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Richard SaoudMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Tanmay GandhiMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Amrit KoiralaMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Ailen CervinoCenter for Precision Environmental Health, Baylor College of Medicine, Houston.
Jacalyn MacGowanCenter for Precision Environmental Health, Baylor College of Medicine, Houston.
Cristian CoarfaMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.
Margot Kossmann WilliamsMolecular and Cellular Biology Department, Baylor College of Medicine, Houston.

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Project 5: Pyolytic conversion of PAHs in contaminated sediments into char to eliminate toxicity and enhance soil fertilityP42ES027725 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Nagireddy Putluri · 2020 to 2026
$17.8M
Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
Single Cell Analysis of Epigenetic Mechanisms that Regulate HIV-1 CNS Latency and NeuropathogenesisR01MH134392 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI COARFA, CRISTIAN, RICE, ANDREW P · 2023 to 2025
$2.3M
Molecular drivers of tissue-specific morphogenetic programsR01HD104784 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI Margot L.K. Williams · 2022 to 2026
$2.2M
Developmental Reprogramming of Prostate Carcinogenesis by BPARC2ES018789 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HO, SHUK-MEI, MANCINI, MICHAEL A. · 2009 to 2010
$1.9M
Single Cell Analysis of Epigenetic Mechanisms that Regulate HIV-1 CNS Latency and NeuropathogenesisRF1MH134392 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI CRISTIAN COARFA, Andrew P Rice · 2026 to 2026
$1.4M
NCI NIH HHS P30 CA125123NICHD NIH HHS R01 HD104784NIEHS NIH HHS P30 ES030285NIEHS NIH HHS P42 ES027725NIEHS NIH HHS RC2 ES018789NIMH NIH HHS R01 MH134392NIMH NIH HHS RF1 MH134392
6 · The paper itself

Abstract

Gene expression changes across embryonic development reflect both differentiation and genes whose expression varies strictly with developmental time, independent of cell type. Multiple embryonic timing systems set the onset and pace of developmental events, and blocking transcription arrests many of these events. However, the genes comprising the vertebrate embryonic timing system(s) remain largely unknown. To identify genes whose expression changes with time alone, we examine naive zebrafish embryonic explants that form only two tissue types yet maintain developmental timing, thus uncoupling developmental age from most differentiation programs. By comparing longitudinal gene expression in naïve explants with Nodal-induced explants that differentiate into all three germ layers, we identify "timekeeping" genes whose temporal expression patterns vary strictly with developmental age. Consensus clustering of temporally dynamic genes identified 20 gene clusters, termed "chrono-constitutive modules" (

Identifiers

PMID41292729
PMCPMC12642444

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.