Evidence map›Paper›PMID 35794517›Full record

ArticleBMC genomics2022

Grade follicles transcriptional profiling analysis in different laying stages in chicken.

Tiantian Sun, Cong Xiao, Zhuliang Yang, Jixian Deng, Xiurong Yang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

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  15. Association Analyses between Single Nucleotide Polymorphisms inAnimals : an open access journal from MDPI · 2023
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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

5 authors at 1 institution in 1 country.

Tiantian Sun *College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Cong Xiao *College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Zhuliang Yang *College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Jixian DengCollege of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Xiurong YangCollege of Animal Science and Technology, Guangxi University, Nanning, 530004, China. yangxiurong09@163.com.
Guangxi University · CN

Funding

the Science and Technology Key Project of Guangxi GK AB21075010
6 · The paper itself

Abstract

During follicular development, a series of key events such as follicular recruitment and selection are crucially governed by strict complex regulation. However, its molecular mechanisms remain obscure. To identify the dominant genes controlling chicken follicular development, the small white follicle (SWF), the small yellow follicle (SYF), and the large yellow follicle (LYF) in different laying stages (W22, W31, W51) were collected for RNA sequencing and bioinformatics analysis. There were 1866, 1211, and 1515 differentially expressed genes (DEGs) between SWF and SYF in W22, W31, and W51, respectively. 4021, 2295, and 2902 DEGs were respectively identified between SYF and LYF in W22, W31, and W51. 5618, 4016, and 4809 DEGs were respectively identified between SWF and LYF in W22, W31, and W51. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that extracellular matrix, extracellular region, extracellular region part, ECM-receptor interaction, collagen extracellular matrix, and collagen trimer were significantly enriched (P < 0.05). Protein-protein interaction analysis revealed that COL4A2, COL1A2, COL4A1, COL5A2, COL12A1, ELN, ALB, and MMP10 might be key candidate genes for follicular development in chicken. The current study identified dominant genes and pathways contributing to our understanding of chicken follicular development.

Indexed as

ChickensOvarian FollicleAnimalsComputational BiologyFemaleGene OntologySequence Analysis, RNAFollicular developmentNandan-Yao Domestic chickenRNA-SeqTranscriptome

Identifiers

PMID35794517
PMCPMC9260967
OpenAlexW4284893313

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.