Evidence map›Paper›PMID 34753940›Full record

ArticleScientific reports2021

Screening of cashmere fineness-related genes and their ceRNA network construction in cashmere goats.

Taiyu Hui, Yuanyuan Zheng, Chang Yue, Yanru Wang, Zhixian Bai, Jiaming Sun, Weidong Cai, Xinjiang Zhang, Wenlin Bai, Zeying Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.9field-weighted citation impact, top 14% 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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Deciphering the molecular drivers for cashmere/pashmina fiber production in goats: a comprehensive review.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Proteomic Analysis of Crimped and Straight Wool in Chinese Tan Sheep.Animals : an open access journal from MDPI · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Association analysis for SNPs ofAnimal biotechnology · 2023
    Article
  18. Article
  19. 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

10 authors at 1 institution in 1 country.

Taiyu HuiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yuanyuan ZhengCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Chang YueCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yanru WangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Zhixian BaiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Jiaming SunCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Weidong CaiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Xinjiang ZhangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Wenlin BaiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Zeying WangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China. wangzeying2012@syau.edu.cn.
Shenyang Agricultural University · CN

Funding

Wenlin Bai 31672388Wenlin Bai NO. 31872325Zeying Wang LSNQN201905Zeying Wang NO. 31802038
6 · The paper itself

Abstract

Competitive endogenous RNA (ceRNA) is a transcript that can be mutually regulated at the post-transcriptional level by competing shared miRNAs. The ceRNA network connects the function of protein-encoded mRNA with the function of non-coding RNA, such as microRNA (miRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA). However, compared with the ceRNA, the identification and combined analysis of lncRNAs, mRNAs, miRNAs, and circRNAs in the cashmere fineness have not been completed. Using RNA-seq technology, we first identified the miRNAs presented in Liaoning Cashmere Goat (LCG) skin, and then analyzed the mRNAs, lncRNAs, circRNAs expressed in LCG and Inner Mongolia cashmere goat (MCG) skin. As a result, 464 known and 45 new miRNAs were identified in LCG skin. In LCG and MCG skin, 1222 differentially expressed mRNAs were identified, 170 differentially expressed lncRNAs and 32 differentially expressed circRNAs were obtained. Then, qRT-PCR was used to confirm further the representative lncRNAs, mRNAs, circRNAs and miRNAs. In addition, miRanda predicted the relationships of ceRNA regulatory network among lncRNAs, circRNAs, miRNAs and mRNAs, the potential regulatory effects were investigated by Go and KEGG analysis. Through the screening and analysis of the results, the ceRNA network regulating cashmere fineness was constructed. LncRNA MSTRG14109.1 and circRNA452 were competed with miRNA-2330 to regulated the expression of TCHH, KRT35 and JUNB, which may provide a potential basis for further research on the process of regulating the cashmere fineness.

Indexed as

AnimalsGene Regulatory NetworksGoatsHairRNASequence Analysis, RNARNA

Identifiers

PMID34753940
PMCPMC8578607
OpenAlexW3212363682

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.