Evidence map›Paper›PMID 37832513›Full record

ArticleG3 (Bethesda, Md.)2023

Dynamic mRNA expression during chicken ovarian follicle development.

Hua Kui, Penghao Li, Tao Wang, Yingyu Luo, Chunyou Ning, Mengmeng Li, Siying Liu, Qing Zhu, Jing Li, Diyan Li

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. 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
1.8field-weighted citation impact, top 14% 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.

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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

10 authors at 3 institutions in 1 country.

Hua KuiSchool of Pharmacy, Chengdu University, Chengdu 610106, People's Republic of China.ORCID 0000-0003-0801-7352
Penghao LiJinxin Research Institute for Reproductive Medicine and Genetics, Chengdu Xi Nan Gynecological Hospital Co., Ltd., 66 Bisheng Road, Chengdu 610000, People's Republic of China.
Tao WangSchool of Pharmacy, Chengdu University, Chengdu 610106, People's Republic of China.
Yingyu LuoCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People's Republic of China.
Chunyou NingCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People's Republic of China.
Mengmeng LiCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People's Republic of China.
Siying LiuSchool of Pharmacy, Chengdu University, Chengdu 610106, People's Republic of China.
Qing ZhuCollege of Animal Science and Technology, Sichuan Agricultural University, Chengdu 611130, Sichuan, People's Republic of China.
Jing LiCollege of Agriculture, Kunming University, Kunming 650214, People's Republic of China.
Diyan LiSchool of Pharmacy, Chengdu University, Chengdu 610106, People's Republic of China.ORCID 0000-0001-7490-3550
Chengdu University · CNSichuan Agricultural University · CNKunming University · CN

Funding

National Natural Science Foundation of China 31972543Yunnan Basic Research Program Local University Joint Special Project-Key Project 202001BA070001-137Yunnan High level technology talent and innovation team selection special project-reserve talent project for young and middle-aged academic and technical leaders 202205AC160043
6 · The paper itself

Abstract

Ovarian follicle development is a complex and well-orchestrated biological process of great economic significance for poultry production. Specifically, understanding the molecular mechanisms underlying follicular development is essential for high-efficiency follicular development can benefit the entire industry. In addition, domestic egg-laying hens often spontaneously develop ovarian cancer, providing an opportunity to study the genetic, biochemical, and environmental risk factors associated with the development of this cancer. Here, we provide high-quality RNA sequencing data for chicken follicular granulosa cells across 10 developmental stages, which resulted in a total of 204.57 Gb of clean sequencing data (6.82 Gb on average per sample). We also performed gene expression, time-series, and functional enrichment analyses across the 10 developmental stages. Our study revealed that SWF (small while follicle), F1 (F1 hierarchical follicles), and POFs (postovulatory follicles) best represent the transcriptional changes associated with the prehierarchical, preovulatory, and postovulatory stages, respectively. We found that the preovulatory stage F1 showed the greatest divergence in gene expression from the POF stage. Our research lays a foundation for further elucidation of egg-laying performance of chicken and human ovarian disease.

Indexed as

ChickensOvarian FollicleAnimalsBase SequenceFemaleGranulosa CellsHumansRNA, MessengerRNA, Messengerfollicle developmentgeneticgranulosa cellspathwaypoultrytranscriptome

Identifiers

PMID37832513
PMCPMC10755205
OpenAlexW4387606453

What Socratic 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 Socratic graph.