Evidence map›Paper›PMID 36311668›Full record

ArticleFrontiers in veterinary science2022

Analyzing the interactions of mRNAs, miRNAs and lncRNAs to predict ceRNA networks in bovine cystic follicular granulosa cells.

Kai Wang, Ying Cheng, Tong Guo, Xiangqian Guo, Hongzhi Zhang, Xiaoyan Ma, Yangyang Pan, Ermias Kebreab, Dong Wang, Lihua Lyu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. 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
–field-weighted citation impact
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

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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.

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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

10 authors.

Kai WangCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Ying ChengCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Tong GuoDepartment of Animal Husbandry and Veterinary Medicine, Beijing Vocational College of Agriculture, Beijing, China.
Xiangqian GuoCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Hongzhi ZhangCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Xiaoyan MaCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Yangyang PanCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.
Ermias KebreabDepartment of Animal Science, University of California, Davis, Davis, CA, United States.
Dong WangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lihua LyuCollege of Animal Science, Shanxi Agricultural University, Jinzhong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanism of bovine follicular cysts. Ovarian cyst has always been an intractable scientific problem and has led to considerable economic losses to bovine breeding industry. However, its pathogenesis and molecular mechanisms are still not well understood. Here, this study aimed to investigate the role of non-coding RNAs (ncRNAs) and the ceRNA networks in bovine follicular cyst. Whole transcriptome sequencing of bovine follicular granulosa cells (GCs) was conducted to obtain the expression profiles of mRNAs, lncRNAs and miRNAs. The results for the identified expressions of 8,003 mRNAs, 579 lncRNAs and 205 miRNAs were often altered between cystic and normal follicular GCs. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed on these differentially expressed mRNAs. Furthermore, the ceRNA network combining mRNAs, miRNAs, and lncRNAs using several bioinformatics methods based on co-expression analysis between the differentially expressed RNAs was conducted. Finally, the lncRNA NONBTAT027373.1-miR-664b-

Indexed as

bovineceRNAfollicular cystslncRNAmiRNA

Identifiers

PMID36311668
PMCPMC9606814

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