Evidence map›Paper›PMID 33692824›Full record

ArticleFrontiers in genetics2021

Effects and Molecular Mechanism of Single-Nucleotide Polymorphisms of MEG3 on Porcine Skeletal Muscle Development.

Rui Yang, Yinuo Liu, Yunyun Cheng, Chunli Wang, Jie Song, Guanhong Lu, Tianqi Feng, Siyao Wang, Xiaotong Sun, Jilun Meng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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
0.5field-weighted citation impact, top 44% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Single Nucleotide Polymorphisms of PorcineFrontiers in cell and developmental biology · 2021
    Article
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

11 authors at 2 institutions in 1 country.

Rui YangCollege of Animal Science, Jilin University, Changchun, China.
Yinuo LiuZhejiang Institute of Freshwater Fisheries, Huzhou, China.
Yunyun ChengCollege of Public Health, Jilin University, Changchun, China.
Chunli WangCollege of Animal Science, Jilin University, Changchun, China.
Jie SongCollege of Animal Science, Jilin University, Changchun, China.
Guanhong LuCollege of Animal Science, Jilin University, Changchun, China.
Tianqi FengCollege of Animal Science, Jilin University, Changchun, China.
Siyao WangCollege of Animal Science, Jilin University, Changchun, China.
Xiaotong SunCollege of Animal Science, Jilin University, Changchun, China.
Jilun MengZhejiang Institute of Freshwater Fisheries, Huzhou, China.
Linlin HaoCollege of Animal Science, Jilin University, Changchun, China.
Jilin University · CNZhejiang Institute of Freshwater Fisheries · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternally expressed gene 3 (MEG3) is a long non-coding RNA that is a crucial regulator of skeletal muscle development. Some single-nucleotide polymorphism (SNP) mutants in MEG3 had strong associations with meat quality traits. Nevertheless, the function and mechanism of MEG3 mutants on porcine skeletal muscle development have not yet been well-demonstrated. In this study, eight SNPs were identified in MEG3 of fat- and lean-type pig breeds. Four of these SNPs (g.3087C > T, g.3108C > T, g.3398C > T, and g.3971A > C) were significantly associated with meat quality and consisted of the CCCA haplotype for fat-type pigs and the TTCC haplotype for lean-type pigs. Quantitative real-time PCR results showed that the expression of MEG3-TTCC was higher than that of MEG3-CCCA in transcription level (

Indexed as

long non-coding RNAMEG3pigskeletal muscleSNPs

Identifiers

PMID33692824
PMCPMC7937967
OpenAlexW3132281626

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.