Evidence map›Paper›PMID 30936892›Full record

ArticleFrontiers in genetics2019

Analyses of MicroRNA and mRNA Expression Profiles Reveal the Crucial Interaction Networks and Pathways for Regulation of Chicken Breast Muscle Development.

Yuanfang Li, Yi Chen, Wenjiao Jin, Shouyi Fu, Donghua Li, Yanhua Zhang, Guirong Sun, Ruirui Jiang, Ruili Han, Zhuanjian Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
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  5. MiRNAs in Poultry Health and Production: Progress and Challenges.Animals : an open access journal from MDPI · 2025
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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 1 institution in 1 country.

Yuanfang LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Yi ChenCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Wenjiao JinCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Shouyi FuCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Donghua LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Yanhua ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Guirong SunCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Ruirui JiangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Ruili HanCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Zhuanjian LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Xiangtao KangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Guoxi LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.
Henan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a lack of understanding surrounding the molecular mechanisms involved in the development of chicken skeletal muscle in the late postnatal stage, especially in the regulation of breast muscle development related genes, pathways, miRNAs and other factors. In this study, 12 cDNA libraries and 4 small RNA libraries were constructed from Gushi chicken breast muscle samples from 6, 14, 22, and 30 weeks. A total of 15,508 known transcripts, 25,718 novel transcripts, 388 known miRNAs and 31 novel miRNAs were identified by RNA-seq in breast muscle at the four developmental stages. Through correlation analysis of miRNA and mRNA expression profiles, it was found that 417, 370, 240, 1,418, 496, and 363 negatively correlated miRNA-mRNA pairs of

Indexed as

breast musclechickenmicroRNAmRNARNA-seq

Identifiers

PMID30936892
PMCPMC6431651
OpenAlexW2921683467

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.