Evidence map›Paper›PMID 36359184›Full record

ArticleAnimals : an open access journal from MDPI2022

Identification of Potential miRNA-mRNA Regulatory Network Associated with Pig Growth Performance in the Pituitaries of Bama Minipigs and Landrace Pigs.

Yingying Jiao, Linlin Hao, Peijun Xia, Yunyun Cheng, Jie Song, Xi Chen, Zhaoguo Wang, Ze Ma, Shuo Zheng, Ting Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 6 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

12 authors at 2 institutions in 1 country.

Yingying JiaoCollege of Animal Science, Jilin University, Changchun 130061, China.
Linlin HaoCollege of Animal Science, Jilin University, Changchun 130061, China.
Peijun XiaCollege of Animal Science, Jilin University, Changchun 130061, China.
Yunyun ChengMinistry of Health Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130061, China.
Jie SongCollege of Animal Science, Jilin University, Changchun 130061, China.
Xi ChenCollege of Animal Science, Jilin University, Changchun 130061, China.
Zhaoguo WangCollege of Animal Science, Jilin University, Changchun 130061, China.
Ze MaCollege of Animal Science, Jilin University, Changchun 130061, China.
Shuo ZhengCollege of Animal Science, Jilin University, Changchun 130061, China.
Ting ChenChinese National Engineering Research Center for Breeding Swine Industry, SCAU-Alltech Research Joint Alliance, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
Ying ZhangCollege of Animal Science, Jilin University, Changchun 130061, China.
Hao YuCollege of Animal Science, Jilin University, Changchun 130061, China.ORCID 0000-0002-2833-6441
Jilin University · CNSouth China Agricultural University · CN

Funding

Jilin Province Science and Technology Department 20220101265JC
6 · The paper itself

Abstract

Pig growth performance is one of the criteria for judging pork production and is influenced by genotype and external environmental factors such as feeding conditions. The growth performance of miniature pigs, such as Bama minipigs, differs considerably from that of the larger body size pigs, such as Landrace pigs, and can be regarded as good models in pig growth studies. In this research, we identified differentially expressed genes in the pituitary gland of Bama minipigs and Landrace pigs. Through the pathway enrichment analysis, we screened the growth-related pathways and the genes enriched in the pathways and established the protein-protein interaction network. The RNAHybrid algorithm was used to predict the interaction between differentially expressed microRNAs and differentially expressed mRNAs. Four regulatory pathways (Y-82-

Indexed as

growth performancemiRNA–mRNA networkpigpituitary

Identifiers

PMID36359184
PMCPMC9657654
OpenAlexW4308524638

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.