Evidence map›Paper›PMID 32547600›Full record

ArticleFrontiers in genetics2020

Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison.

Zhuoran Gao, Ran Ding, Xiangyun Zhai, Yuhao Wang, Yaofeng Chen, Cai-Xia Yang, Zhi-Qiang Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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.

Zhuoran GaoCollege of Animal Science, Yangtze University, Jingzhou, China.
Ran DingCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, China.
Xiangyun ZhaiCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, China.
Yuhao WangCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, China.
Yaofeng ChenCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, China.
Cai-Xia YangCollege of Animal Science, Yangtze University, Jingzhou, China.
Zhi-Qiang DuCollege of Animal Science, Yangtze University, Jingzhou, China.
Northeast Agricultural University · CNYangtze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive fat deposition can cause chicken health problem, and affect production efficiency by causing great economic losses to the industry. However, the molecular underpinnings of the complex adiposity trait remain elusive. In the current study, we constructed and compared the gene co-expression networks on four transcriptome profiling datasets, from two chicken lines under divergent selection for abdominal fat contents, in an attempt to dissect network compositions underlying adipose tissue growth and development. After functional enrichment analysis, nine network modules important to adipogenesis were discovered to be involved in lipid metabolism, PPAR and insulin signaling pathways, and contained hub genes related to adipogenesis, cell cycle, inflammation, and protein synthesis. Moreover, after additional functional annotation and network module comparisons, common sub-modules of similar functionality for chicken fat deposition were identified for different chicken lines, apart from modules specific to each chicken line. We further validated the lysosome pathway, and found

Indexed as

chickenfat depositiongene networkmodulesWGCNA

Identifiers

PMID32547600
PMCPMC7272656
OpenAlexW3031349435

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.