Evidence map›Paper›PMID 38017403›Full record

ArticleBMC genomics2023

Multi-omics analysis of functional substances and expression verification in cashmere fineness.

Yanan Xu, Yu Zhang, Yuting Qin, Ming Gu, Rui Chen, Yinggang Sun, Yanzhi Wu, Qian Li, Yanjun Qiao, Xiaowei Wang and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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
  6. Multi-omics in exploring the pathophysiology of diabetic retinopathy.Frontiers in cell and developmental biology · 2024
    Review
  7. 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

14 authors.

Yanan XuCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yu ZhangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yuting QinCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Ming GuCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Rui ChenCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yinggang SunCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yanzhi WuCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Qian LiCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Yanjun QiaoCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Xiaowei WangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Qiu ZhangCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Lingchao KongCollege of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
Shuaitong LiCollege 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.

Funding

National Natural Science Foundation of China 32272836Postdoctoral Science Foundation of China: Genetic trajectory and expression localization of key genes of cashmere fineness by multi-omics 2021M693859
6 · The paper itself

Abstract

backgroundNumerous factors influence the growth and development of cashmere. Existing research on cashmere has predominantly emphasized a single omics level. Integrating multi-omics analyses can offer a more comprehensive understanding by encompassing the entire spectrum. This study more accurately and comprehensively identified the key factors influencing cashmere fineness using multi-omics analysis.

methodsThis study used skin tissues of coarse cashmere type (CT_LCG) and fine cashmere type Liaoning cashmere goats (FT_LCG) for the analysis. This study employed an integrated approach involving transcriptomics, translatomics, proteomics, and metabolomics to identify substances associated with cashmere fineness. The findings were validated using parallel reaction monitoring (PRM) and multiple reaction monitoring (MRM) techniques.

resultsThe GO functional enrichment analysis identified three common terms: multicellular organismal process, immune system process, and extracellular region. Furthermore, the KEGG enrichment analysis uncovered the involvement of the arachidonic acid metabolic pathway. Protein expression trends were verified using PRM technology. The expression trends of KRT79, as confirmed by PRM, were consistent with those observed in TMT proteomics and exhibited a positive regulatory effect on cashmere fineness. Metabolite expression trends were confirmed using MRM technology. The expression trends of 9 out of 15 validated metabolites were in agreement with those identified in the non-targeted metabolomics analysis.

conclusionsThis study employed multi-omics analysis to identify key regulators of cashmere fineness, including PLA2G12A, KRT79, and prostaglandin B2. The findings of this study offer valuable data and establish a theoretical foundation for conducting comprehensive investigations into the molecular regulatory mechanisms and functional aspects of cashmere fineness.

Indexed as

MultiomicsSkinAnimalsGoatsCashmere finenessLiaoning cashmere goatMetabolomicsProteomicsTranscriptomicsTranslatomics

Identifiers

PMID38017403
PMCPMC10685610

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.