Evidence map›Paper›PMID 40934713›Full record

ArticlePoultry science2025

Effects of DNMT1 and TET2 on proliferation and differentiation of goose embryonic myoblasts.

Yong Li, Yuanhao Han, Shiqi Guo, Yongquan Luo, Pufei Hong, Ziyang Liu, Xiujin Li, Yunbo Tian, Yunmao Huang, Zhongping Wu and 1 more

Abstract read
In one paragraph

Article in Poultry science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Yong LiCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yuanhao HanCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Shiqi GuoCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yongquan LuoCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Pufei HongCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Ziyang LiuCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Xiujin LiCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yunbo TianCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Yunmao HuangCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Zhongping WuCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China.
Xumeng ZhangCollege of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China. Electronic address: zhangxumeng@zhku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shitou goose (large goose breed) and Wuzong goose (small goose breed) are important local goose breeds in Guangdong Province, exhibiting significant differences in growth performance and slaughter traits. The number of myofibers in goose skeletal muscle is determined during embryonic stage, and is subject to multiple myogenic factors and epigenetic regulation during myogenesis, among which DNA methylation is the most common and obvious epigenetic modification. In this study, we examined the expression profiles of DNA methyltransferases (DNMT1, DNMT3A, DNMT3B), DNA hydroxylases (TET1, TET2, TET3) and key myogenic factors (MYOD, MYF5, MYOG, MYHC) in embryonic and adult myoblasts, and performed DNMT1 and TET2 over-expression and interference experiments on goose embryonic myoblasts in combination with co-treatments of BC339 (TETs inhibitor) and 5AZA (DNMTs inhibitor). RT-qPCR analysis revealed Wuzong geese embryonic myoblasts exhibited significantly higher mRNA levels of TET1, TET2, and TET3 hydroxylases during early stages (E10-E22), along with elevated MYOD expression, while Shitou geese embryonic myoblasts showed increased DNMT1 and DNMT3B methyltransferases and up-regulated late-stage myogenic factors MYOG and MYHC. In myoblasts, TET2 expression peaked during proliferation, whereas DNMT1 dominated differentiation, highlighting their stage-specific regulatory roles. DNMT1 over-expression suppressed proliferation and differentiation, lower MYOD and MYHC levels, while DNMT1 interference enhanced both processes. 5AZA reversed DNMT1-mediated suppression, whereas BC339 exacerbated it. Conversely, TET2 over-expression promoted proliferation and differentiation, increased MYOD and MYHC levels, with 5AZA amplifying and BC339 attenuating these effects. TET2 interference impaired proliferation and differentiation, partially rescued by 5AZA. In this study, we investigated the relationship between DNA methylation and the proliferation and differentiation ability of goose embryonic myoblasts, which provided a theoretical basis for a systematic understanding of the molecular mechanisms underlying the differences in growth performance of goose breeds of different body sizes.

Indexed as

Avian ProteinsCell DifferentiationCell ProliferationDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesGeeseMyoblastsAnimalsDNA MethylationMuscle DevelopmentAvian ProteinsDNA-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA methylationDNMT1Goose embryonic myoblastProliferation and differentiationTET2

Identifiers

PMID40934713
PMCPMC12683111

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Registered trials

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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.