Evidence map›Paper›PMID 36672778›Full record

ArticleGenes2022

Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle.

Lili Du, Tianpeng Chang, Bingxing An, Mang Liang, Tianyu Deng, Keanning Li, Sheng Cao, Yueying Du, Xue Gao, Lingyang Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  19. Identification of a novel ADCC-related gene signature for predicting the prognosis and therapy response in lung adenocarcinoma.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
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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

13 authors at 3 institutions in 1 country.

Lili DuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Tianpeng ChangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Bingxing AnInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Mang LiangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Tianyu DengInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Keanning LiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Sheng CaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yueying DuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xue GaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Lingyang XuInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0002-8463-6668
Lupei ZhangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7701-2331
Junya LiInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Huijiang GaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Chinese Academy of Agricultural Sciences · CNQingdao Agricultural University · CNTianjin Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat deposition traits are influenced by genetics and environment, which affect meat quality, growth rate, and energy metabolism of domestic animals. However, at present, the molecular mechanism of fat deposition is not entirely understood in beef cattle. Therefore, the current study conducted transcriptomics and lipid metabolomics analysis of subcutaneous, visceral, and abdominal adipose tissue (SAT, VAT, and AAT) of Huaxi cattle to investigate the differences among these adipose tissues and systematically explore how candidate genes interact with metabolites to affect fat deposition. These results demonstrated that compared with SAT, the gene expression patterns and metabolite contents of VAT and AAT were more consistent. Particularly,

Indexed as

Subcutaneous FatTranscriptomeAbdominal FatAdipose TissueAnimalsCattleFatty AcidsFatty Acids, MonounsaturatedFatty AcidsFatty Acids, Monounsaturatedadipose tissuebeef cattlelipid metabolomicstranscriptomics

Identifiers

PMID36672778
PMCPMC9858949
OpenAlexW4313362711

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.