Evidence map›Paper›PMID 42316346›Full record

ArticleBMC genomics2026

Screening and identification of the ncRNA-mRNA regulatory network associated with DNA methylation in goose embryonic myoblasts.

Yongquan Luo, Pufei Hong, Tiande Chen, Yong Li, Yuanhao Han, Kaiyue Chang, Ziyang Liu, Xiujin Li, Yunmao Huang, Yunbo Tian and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yongquan Luo *College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Pufei Hong *College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Tiande ChenCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Yong LiCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Yuanhao HanCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Kaiyue ChangCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Ziyang LiuCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Xiujin LiCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Yunmao HuangCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Yunbo TianCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China.
Zhongping WuCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China. wuzhongping@zhku.edu.cn.
Xumeng ZhangCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, PR China. zhangxumeng@zhku.edu.cn.

Funding

College Students Innovation and Entrepreneurship training program S202411347062Guangdong Modern Agricultural Poultry Industry Technology System Innovation Team 2024CXTD20Guangdong Provincial Key Construction Disciplines Research Capacity Enhancement Program 2024ZDJS004The Special Fund for Rural Revitalization Strategy Seed Industry Revitalization Project of Guangdong Province 2023-XDY-00-001, 2022-XPY-00-011Young innovative talents projects of Ordinary Universities in Guangdong Province 2022KQNCX028
6 · The paper itself

Abstract

backgroundLocal goose breeds Shitou and Wuzong exhibit distinct growth rates, implying divergent embryonic muscle development. This study used embryonic myoblasts from the Magang goose, an established model with superior growth traits, to explore the underlying common regulatory mechanisms. Extending our previous findings that 5-AZA (DNA methylation inhibitor) and BC339 (DNA hydroxylation inhibitor) oppositely affect myoblast proliferation and differentiation, we performed whole-transcriptome sequencing on inhibitor-treated goose embryonic myoblasts. This aimed to identify DNA methylation-mediated ncRNA-mRNA networks governing myoblast fate, with key interactions being functionally validated.

result5-AZA significantly promotes cell proliferation and differentiation by inhibiting DNA methyltransferase activity and reducing DNA methylation levels, whereas BC339 significantly suppresses cell proliferation and differentiation by inhibiting demethylation and increasing DNA methylation levels. Specifically, we identified 6,309 mRNAs, 579 lncRNAs, 194 miRNAs, and 825 circRNAs that were differentially expressed in response to 5-AZA and BC339 treatment. Based on GO and KEGG enrichment analyses, differentially expressed genes related to muscle development were selected to construct a ceRNA network. This network comprises 5 differentially expressed lncRNAs (DELs: MSTRG.17572.1, XR_001211738.1, MSTRG.1886.1, XR_001212555.1, MSTRG.8995.2), 2 differentially expressed circRNAs (DECs: novel_circ_029953, novel_circ_017636), 11 differentially expressed miRNAs (DEMs: miR-383-x, miR-10174-y, miR-191-x, miR-24-x, miR-9619-y, novel-m0303-5p, novel-m0105-3p, miR-204-x, miR-211-z, novel-m0075, miR-26-y), 5 differentially expressed genes (DEGs: KIF3A, CCND1, PPM1A, Table 2, TGFBR1), forming a total of 24 interactions. This study identified miR-9619-y as a critical negative regulator of goose embryonic myoblast development through targeted inhibition of CCND1. Dual-luciferase reporter assays confirmed the direct binding of miR-9619-y to the 3'-untranslated region of CCND1. Functional experiments demonstrated that overexpression of miR-9619-y significantly reduced the EdU-positive cell ratio and myotube area percentage, accompanied by cell cycle arrest at the G0/G1 phase. Conversely, inhibition of miR-9619-y promoted myoblast proliferation and differentiation while decreasing the proportion of cells in G0/G1 phase. During the proliferation stage, miR-9619-y overexpression significantly suppressed CCND1 expression at both mRNA and protein levels, down-regulated MyoD expression, and reduced Myf5 mRNA abundance; whereas miR-9619-y inhibition up-regulated these genes and their corresponding proteins. During the differentiation stage, overexpression of miR-9619-y similarly decreased the mRNA levels of CCND1, Myh1, and MyoG, as well as the protein levels of MyHC and CCND1, with inhibition producing the opposite effects.

conclusionIn this study, we predicted a ceRNA network based on bioinformatics analysis governing goose embryonic myoblast development, identifying key molecular components including mRNAs, miRNAs, lncRNAs, and circRNAs, along with 24 regulatory axes. Functional experiments further demonstrated that miR-9619-y arrests cell cycle progression and negatively regulates the proliferation and differentiation of goose embryonic myoblasts, as evidenced by its impact on both the mRNA and protein expression of key myogenic factors through targeted inhibition of CCND1. These findings, together with the bioinformatically predicted ceRNA network, suggest potential complex post-transcriptional regulatory mechanisms underlying myogenesis in geese and offer candidate molecular targets for genetic improvement of meat production performance in waterfowl breeding programs.

Indexed as

DNA MethylationGeeseGene Regulatory NetworksMyoblastsRNA, MessengerRNA, UntranslatedAnimalsAzacitidineCell DifferentiationCell ProliferationGene Expression ProfilingGene Expression Regulation, DevelopmentalMicroRNAsMuscle DevelopmentRNA, Competitive EndogenousAzacitidineMicroRNAsRNA, Competitive EndogenousRNA, MessengerRNA, UntranslatedDNA methylationGoose embryonic myoblastsNon-coding/coding RNAProliferation and differentiation

Identifiers

PMID42316346
PMCPMC13551957

What Socratic holds

Textmetadata
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.