Evidence map›Paper›PMID 31816988›Full record

ArticleAnimals : an open access journal from MDPI2019

RNA-Seq Analysis Identifies Differentially Expressed Genes Insubcutaneous Adipose Tissuein Qaidamford Cattle, Cattle-Yak, and Angus Cattle.

Chengchuang Song, Yongzhen Huang, Zhaoxin Yang, Yulin Ma, Buren Chaogetu, Zhaxi Zhuoma, Hong Chen

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  10. POLB Regulates Proliferation and Apoptosis of Bovine Primary Myocytes.Animals : an open access journal from MDPI · 2024
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  11. Article
  12. Review
  13. Article
  14. Article
  15. RNA-Seq Analysis Identifies Differentially Expressed Genes in theInternational journal of molecular sciences · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Interference WithFrontiers in veterinary science · 2021
    Article
  20. 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 2 institutions in 1 country.

Chengchuang SongCollege of Animal Science and Technology, Northwest A&F University,Yangling 712100, China.
Yongzhen HuangCollege of Animal Science and Technology, Northwest A&F University,Yangling 712100, China.
Zhaoxin YangCollege of Animal Science and Technology, Northwest A&F University,Yangling 712100, China.
Yulin MaAnimal Disease Control Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha 817000, China.
Buren ChaogetuAnimal Disease Control Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha 817000, China.
Zhaxi ZhuomaAnimal Disease Control Center of Haixi Mongolian and Tibetan Autonomous Prefecture, Delingha 817000, China.
Hong ChenCollege of Animal Science and Technology, Northwest A&F University,Yangling 712100, China.
Northwest A&F University · CNChina Animal Disease Control Center · CN

Funding

National Natural Science Foundation of China 31601926National Natural Science Foundation of China 31772574Program of National Beef Cattle and Yak Industrial Technology System CARS-37
6 · The paper itself

Abstract

In the beef industry, fat tissue is closely related to meat quality. In this study, high-throughput RNA sequencing was utilized for adipose tissue transcriptome analysis between cattle-yak, Qaidamford cattle, and Angus cattle. The screening and identification of differentially expressed genes (DEGs) between different breeds of cattle would facilitate cattle breeding. Compared to Angus cattle adipose tissue, a total of 4167 DEGs were identified in cattle-yak adipose tissue and 3269 DEGs were identified in Qaidamford cattle adipose tissue. Considering cattle-yak as a control group, 154 DEGs were identified in Qaidamford cattle adipose tissue. GO analysis indicatedthe significant enrichment of some DEGs related to lipid metabolism. The KEGG pathway database was also used to map DEGs and revealed that most annotated genes were involved in ECM-receptor interaction and the PI3K-Akt signal pathway, which are closely related to cell metabolism. Eight selected DEGs related to adipose tissue development or metabolism were verified by RT-qPCR, indicating the reliability of the RNA-seq data. The results of this comparative transcriptome analysis of adipose tissue and screening DEGs suggest several candidates for further investigations of meat quality in different cattle breeds.

Indexed as

cattle-yakmeat qualitysubcutaneous fattranscriptome analysis

Identifiers

PMID31816988
PMCPMC6941056
OpenAlexW2993382808

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.