Evidence map›Paper›PMID 39201775›Full record

ArticleInternational journal of molecular sciences2024

Exploring the Molecular Mechanism of Skeletal Muscle Development in Ningxiang Pig by Weighted Gene Co-Expression Network Analysis.

Zonggang Yu, Nini Ai, Xueli Xu, Peiwen Zhang, Zhao Jin, Xintong Li, Haiming Ma

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Zonggang YuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-4364-1644
Nini AiCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Xueli XuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Peiwen ZhangCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Zhao JinCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0005-7296-9819
Xintong LiCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Haiming MaCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Funding

Design and cultivation of high-quality new pig breeds (2023ZD0404605), Hunan Provincial Natural Science Joint Foundation (2022JJ50018), and Major Science and Technology Special Plan of Yunnan Province (202202AE090032 and 202102AE090046-3) 2023ZD0404605;2022JJ50018;202202AE090032 and 202102AE090046-3
6 · The paper itself

Abstract

With the continuous improvement in living standards, people's demand for high-quality meat is increasing. Ningxiang pig has delicious meat of high nutritional value, and is loved by consumers. However, its slow growth and low meat yield seriously restrict its efficient utilization. Gene expression is the internal driving force of life activities, so in order to fundamentally improve its growth rate, it is key to explore the molecular mechanism of skeletal muscle development in Ningxiang pigs. In this paper, Ningxiang boars were selected in four growth stages (30 days: weaning period, 90 days: nursing period, 150 days: early fattening period, and 210 days: late fattening period), and the

Indexed as

Gene Regulatory NetworksMuscle DevelopmentMuscle, SkeletalAnimalsFatty AcidsGene Expression ProfilingGene Expression Regulation, DevelopmentalMaleSignal TransductionSwineTranscriptomeFatty Acidscandidate genesmolecular mechanismNingxiang pigpathwayskeletal muscleWGCNA

Identifiers

PMID39201775
PMCPMC11354759

What Socratic holds

Textmetadata
LicenceCC BY
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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.