Evidence map›Paper›PMID 38790235›Full record

ArticleGenes2024

miR-423-5p Regulates Skeletal Muscle Growth and Development by Negatively Inhibiting Target Gene SRF.

Yanqin Pang, Jing Liang, Jianfang Huang, Ganqiu Lan, Fumei Chen, Hui Ji, Yunxiang Zhao

Abstract read
In one paragraph

Article in Genes, 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.

  1. Review
  2. Article
  3. Article
  4. Regulatory Role ofInternational journal of molecular sciences · 2024
    Article
  5. Review
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.

Yanqin PangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Jing LiangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.ORCID 0000-0001-5533-2107
Jianfang HuangCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Ganqiu LanCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Fumei ChenCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Hui JiCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.
Yunxiang ZhaoCollege of Animal Science and Technology, Guangxi University, Nanning 530004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of muscle growth directly affects the yield and quality of pork food products. Muscle fibers are created during the embryonic stage, grow following birth, and regenerate during adulthood; these are all considered to be phases of muscle development. A multilevel network of transcriptional, post-transcriptional, and pathway levels controls this process. An integrated toolbox of genetics and genomics as well as the use of genomics techniques has been used in the past to attempt to understand the molecular processes behind skeletal muscle growth and development in pigs under divergent selection processes. A class of endogenous noncoding RNAs have a major regulatory function in myogenesis. But the precise function of miRNA-423-5p in muscle development and the related molecular pathways remain largely unknown. Using target prediction software, initially, the potential target genes of miR-423-5p in the

Indexed as

MicroRNAsMuscle DevelopmentMuscle, SkeletalSwine, MiniatureAnimalsCell LineGene Expression Regulation, DevelopmentalMiceSerum Response FactorMicroRNAsSerum Response FactorGuangxi Bama miniature pigmicroRNAmiRNA-423-5pmuscle developmentserum response factor

Identifiers

PMID38790235
PMCPMC11121690

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.