Evidence mapPaperPMID 40933521Full record

ArticleFrontiers in veterinary science2025

WGCNA-based analysis of

Danni Wu, Xiaolong Xu, Dan Zhao, Qing Qin, Chongyan Zhang, Jiale Gao, Anru Xing, Qi Lv, Haijun Zhang, Zhihong Liu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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.

Danni WuDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Xiaolong XuDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Dan ZhaoDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Qing QinDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Chongyan ZhangDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Jiale GaoDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Anru XingDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Qi LvDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Haijun ZhangErdos Agricultural and Animal Husbandry Science Research Institute, Ordos, China.
Zhihong LiuDepartment of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The weight and quality of skeletal muscle are important indicators of meat product quality in livestock. The development of muscle fibers mainly occurs during the embryonic period, with the later stages of embryonic development being the critical time for muscle fiber formation. This stage determines postnatal growth rate, developmental traits in adulthood, and meat production performance. Therefore, studying the tissue structure and developmental patterns of muscle fibers during the embryonic period is crucial. This study utilized Weighted Gene Co-expression Network Analysis (WGCNA) to analyze the transcriptomes of goat skeletal muscle at 10 developmental stages during fetal development. A total of 10 co-expression modules were identified, with the blue module being selected for its relevance to embryonic development and muscle growth in the later stages of fetal development. Functional enrichment analysis revealed that this module is associated with mitochondrial processes (such as the tricarboxylic acid cycle and ATP synthesis) and is enriched in muscle-related pathways, including AMPK, Wnt, MAPK, and FoxO signaling pathways. The protein-protein interaction (PPI) network identified four key genes (

Indexed as

embryonic periodgrowth and developmentInner Mongolia Albas White Cashmere Goatsmuscle fibersWGCNA

Identifiers

PMID40933521
PMCPMC12418449

What Socratic 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 Socratic graph.