Evidence map›Paper›PMID 42890222›Full record

ArticleFrontiers in cell and developmental biology2026

Stage-specific transcriptional atlas of goose satellite cells uncovers sex-biased molecular dynamics associated with embryonic skeletal muscle development.

Cui Wang, Kai Shi, Yi Liu, Yongping Yang, Guitao Jiang, Chuang Li, Shufang Chen, Huiying Wang, Daqian He

Abstract read
In one paragraph

Article in Frontiers in cell and developmental 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
–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

9 authors.

Cui WangInstitute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai, China.
Kai ShiNingbo Academy of Agricultural Sciences, Ningbo, China.
Yi LiuInstitute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai, China.
Yongping YangWuhan Animal Disease Control Center, Wuhan, China.
Guitao JiangYuelushan Laboratory, Changsha, Hunan, China.
Chuang LiYuelushan Laboratory, Changsha, Hunan, China.
Shufang ChenNingbo Academy of Agricultural Sciences, Ningbo, China.
Huiying WangInstitute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai, China.
Daqian HeInstitute of Animal Science and Veterinary Medicine, Shanghai Academy of Agricultural Sciences, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sexual dimorphism in avian skeletal muscle is established during embryogenesis, but the stage-resolved transcriptional programs governing this process in geese remain largely unexplored. Methods: To construct a stage-specific transcriptional atlas of muscle satellite cells (SMSCs), we performed histological examination and RNA sequencing of PAX7 Results: Although myofiber morphology exhibited no overt sexual divergence, immunofluorescence revealed distinct sex- and stage-dependent dynamics, with male embryos displaying a higher PAX7 Discussion: Collectively, this transcriptional atlas delineates sex-biased molecular dynamics that operate within the Zhedong White goose SMSC pool in the absence of conspicuous histological differences, and provides a foundational gene resource for prioritizing mechanistic investigations into sexually dimorphic muscle development, focusing specifically on the embryonic leg muscles.

Indexed as

embryonic skeletal muscle developmentgoosesexual dimorphismskeletal muscle satellite cellsstage-specific transcriptomic atlas

Identifiers

PMID42890222
PMCPMC13672540

What OpenQuestion holds

Textmetadata
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.