Evidence map›Paper›PMID 33152219›Full record

ArticleAnimal bioscience2021

Profiling of skeletal muscle tissue for long non-coding RNAs related to muscle metabolism in the QingYu pig at the growth inflection point.

Jia Luo, Linyuan Shen, Mailin Gan, Anan Jiang, Lei Chen, Jideng Ma, Long Jin, Yihui Liu, Guoqing Tang, Yanzhi Jiang and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

4 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

14 authors at 3 institutions in 2 countries.

Jia LuoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Linyuan ShenCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Mailin GanCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Anan JiangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Lei ChenCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Jideng MaCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Long JinCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yihui LiuSichuan Province General Station of Animal Husbandry, Chengdu 610041, China.
Guoqing TangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Yanzhi JiangCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China.
Mingzhou LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Xuewei LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Shunhua ZhangCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Li ZhuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, China.
Sichuan Agricultural University · CNAnimal Husbandry & Veterinary · INSouthwest University · CN

Funding

Earmarked Fund for China Agriculture Research System CARS-36-05BFundamental Research Funds for the Central Universities SWU119028National Natural Science Foundation of China 31530073Sichuan Science and Technology Program 2016NYZ0050Sichuan Science and Technology Program SCCXTD-009
6 · The paper itself

Abstract

objectiveInvestigation of muscle growth at different developmental stages is an appropriate strategy for studying the mechanisms underlying muscle development and differences in phenotypes. In particular, the muscle development mechanisms and the difference between the fastest and slowest growth rates.

methodsIn this study, we used a growth curve model to fit the growth inflection point (IP) of QingYu pigs and compared differences in the long non-coding RNA (lncRNA) transcriptome of muscle both at the growth IP and plateau phase (PP).

resultsThe growth curve of the QingYu pig had a good fit (R2 = 0.974) relative to a typical S-curve and reached the IP at day 177.96. At the PP, marbling, intramuscular fat, and monounsaturated fatty acids had increased significantly and the percentage of lean muscle and polyunsaturated fatty acids had decreased. A total of 1,199 mRNAs and 62 lncRNAs were differentially expressed at the IP compared with the PP. Additional to gene ontology and Kyoto encyclopedia of genes and genomes pathway analyses, these differentially expressed protein coding genes were principally related to muscle growth and lipid metabolism.

conclusionOur results suggest that the identified differentially expressed lncRNAs, could play roles in muscle growth, fat deposition and regulation of fatty acid composition at the IP and PP.

Indexed as

Growth CurveInflection PointlncRNAMetabolismMuscleQingYu Pig

Identifiers

PMID33152219
PMCPMC8255898
OpenAlexW3095996407

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.