Evidence map›Paper›PMID 31653195›Full record

ArticleBMC genomics2019

MicroRNAs and their regulatory networks in Chinese Gushi chicken abdominal adipose tissue during postnatal late development.

Yi Chen, Yinli Zhao, Wenjiao Jin, Yuanfang Li, Yanhua Zhang, Xuejie Ma, Guirong Sun, Ruili Han, Yadong Tian, Hong Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

19 citing papers in PubMed, 44 citations in OpenAlex.

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  9. MicroRNA-1: Diverse role of a small player in multiple cancers.Seminars in cell & developmental biology · 2022
    Review
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  11. Frontiers in veterinary science · 2022
    Article
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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.

Yi ChenCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Yinli ZhaoCollege of Biological Engineering, Henan University of Technology, Zheng zhou, Henan Province, 450001, People's Republic of China.
Wenjiao JinCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Yuanfang LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Yanhua ZhangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Xuejie MaCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Guirong SunCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Ruili HanCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Yadong TianCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Hong LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Xiangtao KangCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China.
Guoxi LiCollege of Animal Science and Veterinary Medicine, Henan Agricultural University, Zheng zhou, Henan Province, 450002, People's Republic of China. liguoxi0914@126.com.
Henan Agricultural University · CNHenan University of Technology · CN

Funding

31572356 National Natural Science Foundation of China
6 · The paper itself

Abstract

backgroundAbdominal fat is the major adipose tissue in chickens. The growth status of abdominal fat during postnatal late development ultimately affects meat yield and quality in chickens. MicroRNAs (miRNAs) are endogenous small noncoding RNAs that regulate gene expression at the post-transcriptional level. Studies have shown that miRNAs play an important role in the biological processes involved in adipose tissue development. However, few studies have investigated miRNA expression profiles and their interaction networks associated with the postnatal late development of abdominal adipose tissue in chickens.

resultsWe constructed four small RNA libraries from abdominal adipose tissue obtained from Chinese domestic Gushi chickens at 6, 14, 22, and 30 weeks. A total of 507 known miRNAs and 53 novel miRNAs were identified based on the four small RNA libraries. Fifty-one significant differentially expressed (SDE) miRNAs were identified from six combinations by comparative analysis, and the expression patterns of these SDE miRNAs were divided into six subclusters by cluster analysis. Gene ontology enrichment analysis showed that the SDE miRNAs were primarily involved in the regulation of fat cell differentiation, regulation of lipid metabolism, regulation of fatty acid metabolism, and unsaturated fatty acid metabolism in the lipid metabolism- or deposition-related biological process categories. In addition, we constructed differentially expressed miRNA-mRNA interaction networks related to abdominal adipose development. The results showed that miRNA families, such as mir-30, mir-34, mir-199, mir-8, and mir-146, may have key roles in lipid metabolism, adipocyte proliferation and differentiation, and cell junctions during abdominal adipose tissue development in chickens.

conclusionsThis study determined the dynamic miRNA transcriptome and characterized the miRNA-mRNA interaction networks in Gushi chicken abdominal adipose tissue for the first time. The results expanded the number of known miRNAs in abdominal adipose tissue and provide novel insights and a valuable resource to elucidate post-transcriptional regulation mechanisms during postnatal late development of abdominal adipose tissue in chicken.

Indexed as

Gene Regulatory NetworksAbdominal FatAnimalsChickensMicroRNAsSequence Analysis, RNATranscriptomeMicroRNAsAbdominal adipose tissueChickenInteraction networksMicroRNA

Identifiers

PMID31653195
PMCPMC6815035
OpenAlexW2982252074

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.