Evidence map›Paper›PMID 41992335›Full record

ArticleJournal of animal science and biotechnology2026

Integrated ATAC-seq and mRNA-seq analyses on granulosa cells identify key regulators of follicle selection in chickens.

Dandan Li, Chao Qi, Yi Sun, Li Kang, Qingqing Wei, Yunliang Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Dandan LiCollege of Animal Science and Technology, Shandong Agricultural University, 7 Panhe Street, Taian, 271017, China.
Chao QiShandong Provincial Animal Husbandry Station, Jinan, 250010, China.
Yi SunCollege of Animal Science and Technology, Shandong Agricultural University, 7 Panhe Street, Taian, 271017, China.
Li KangCollege of Animal Science and Technology, Shandong Agricultural University, 7 Panhe Street, Taian, 271017, China.
Qingqing WeiCollege of Animal Science and Technology, Shandong Agricultural University, 7 Panhe Street, Taian, 271017, China.
Yunliang JiangCollege of Animal Science and Technology, Shandong Agricultural University, 7 Panhe Street, Taian, 271017, China. zhaojy@sdau.edu.cn.

Funding

National Natural Science Foundation of China 32272869National R&D Program of China 2021YFD1300100
6 · The paper itself

Abstract

backgroundThe differences in egg production performance among hens are closely linked to the efficiency of follicle selection, which is characterized by granulosa cell differentiation and progesterone production. In this study, by integrating ATAC-seq and mRNA-seq analyses on granulosa cells from pre-hierarchical (Pre-GCs) and hierarchical (Post-GCs) follicles, we set out to identify key regulatory factors involved in chicken follicle selection.

resultsATAC-seq analysis revealed 21,616 upregulated and 6,344 downregulated differentially accessible peaks in Post-GCs compared to Pre-GCs. Enrichment analysis of the top 400 upregulated and downregulated peaks (ranked by |log

conclusionsOur integrated ATAC-seq and mRNA-seq analyses define key epigenetic and transcriptional changes during chicken follicle selection. We highlight core transcription factors, including CREM, ESRRB, NR5A1, GATA6 and ETS1, and their stage-specific target networks. Functional assays show that GATA6 promotes cholesterol and progesterone synthesis, providing mechanistic insight and candidate targets for improving hen reproductive performance.

Indexed as

ATAC-seqChickenFollicle selectionGranulosa cellmRNA-seq

Identifiers

PMID41992335
PMCPMC13088730

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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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.