Evidence map›Paper›PMID 37070092›Full record

ArticlePeerJ2023

Identification of key genes in bovine muscle development by co-expression analysis.

Junxing Zhang, Hui Sheng, Cuili Pan, Shuzhe Wang, Mengli Yang, Chunli Hu, Dawei Wei, Yachun Wang, Yun Ma

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Junxing Zhang *Ningxia University, Yinchuan, China.
Hui Sheng *Ningxia University, Yinchuan, China.
Cuili PanNingxia University, Yinchuan, China.
Shuzhe WangNingxia University, Yinchuan, China.
Mengli YangNingxia University, Yinchuan, China.
Chunli HuNingxia University, Yinchuan, China.
Dawei WeiNingxia University, Yinchuan, China.
Yachun WangChina Agricultural University, Beijing, China.
Yun MaNingxia University, Yinchuan, China.
Ningxia University · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skeletal muscle is not only an important tissue involved in exercise and metabolism, but also an important part of livestock and poultry meat products. Its growth and development determines the output and quality of meat to a certain extent, and has an important impact on the economic benefits of animal husbandry. Skeletal muscle development is a complex regulatory network process, and its molecular mechanism needs to be further studied. Method: We used a weighted co-expression network (WGCNA) and single gene set enrichment analysis (GSEA) to study the RNA-seq data set of bovine tissue differential expression analysis, and the core genes and functional enrichment pathways closely related to muscle tissue development were screened. Finally, the accuracy of the analysis results was verified by tissue expression profile detection and bovine skeletal muscle satellite cell differentiation model Results: In this study, Conclusions: In this study, several muscle tissue characteristic genes were excavated, which may play an important role in muscle development and provide new insights for bovine molecular genetic breeding.

Indexed as

Lipid MetabolismMuscle, SkeletalAnimalsCattleCell DifferentiationMeatMuscle DevelopmentBreedingBSMSCsGSEAMuscleWGCNA

Identifiers

PMID37070092
PMCPMC10105563
OpenAlexW4365142111

What OpenQuestion 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 OpenQuestion graph.