Evidence map›Paper›PMID 37250719›Full record

ArticlePeerJ2023

Transcriptome analysis reveals genes associated with wool fineness in merinos.

Shengchao Ma, Li Long, Xixia Huang, Kechuan Tian, Yuezhen Tian, Cuiling Wu, Zhiwen Zhao

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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  7. Correlation and regression analysis of theArchives animal breeding · 2025
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  12. Molecular insights into Pashmina fiber production: comparative skin transcriptomic analysis of Changthangi goats and sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  13. Article
  14. 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

7 authors at 3 institutions in 1 country.

Shengchao Ma *College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Li Long *College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Xixia HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Kechuan TianInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, China.
Yuezhen TianKey Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep and Cashmere-Goat, Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, China.
Cuiling WuCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Zhiwen ZhaoCollege of Animal Science, Xinjiang Agricultural University, Urumqi, China.
Xinjiang Agricultural University · CNShandong Academy of Agricultural Sciences · CNXinjiang Academy of Animal Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hair/wool usually plays an important role in maintaining animal physiological activities, and the economic value of wool cannot be ignored. At present, people set higher demands on wool fineness. Hence, improving wool fineness is the concern of fine wool sheep breeding. Using RNA-Seq to screen the potential candidate genes that associate with wool fineness can provide theoretical references for fine-wool sheep breeding, and also provide us new ideas for further understand the molecular regulation mechanism of hair growth. In this study, we compared the expression pattern difference of genome-wide genes between the skin transcriptomes of Subo and Chinese Merinos. The results showed that, 16 candidate differentially expressed genes (DEGs) (Included:

Indexed as

Sheep, DomesticWoolAnimalsGene Expression ProfilingSheepTranscriptomeDEGsMerinosRNA-SeqWool fineness

Identifiers

PMID37250719
PMCPMC10215774
OpenAlexW4377822375

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.