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METTL3通过mA-YTHDF2-多能性/Gstp1 mRNA降解轴抑制多能干细胞的启动态到幼稚态转变。

METTL3 inhibits primed-to-naïve transition of pluripotent stem cells through mA-YTHDF2-pluripotency/Gstp1 mRNA degradation axis.

作者信息

Li Sa, Hao Jiajie, Hong Guangliang, Dong Hongzhi, Liu He, Jin Lingmei, Zhang Zhihao, Wu Haoyu, Hu Mingli, Huang Rujin, Luo Guanzheng, He Jiangping, Chen Jiekai, Wu Kaixin

机构信息

Center for Biomedical Digital Science, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Cell Regen. 2025 May 27;14(1):19. doi: 10.1186/s13619-025-00241-1.

Abstract

N6-methyladenosine (mA) plays crucial roles in development and cellular reprogramming. During embryonic development, pluripotency transitions from a naïve to a primed state, and modeling the reverse primed-to-naïve transition (PNT) provides a valuable framework for investigating pluripotency regulation. Here, we show that inhibiting METTL3 significantly promotes PNT in an mA-dependent manner. Mechanistically, we found that suppressing METTL3 and YTHDF2 prolongs the lifetimes of pluripotency-associated mRNAs, such as Nanog and Sox2, during PNT. In addition, Gstp1 was identified as a downstream target of METTL3 inhibition and YTHDF2 knockout. Gstp1 overexpression enhances PNT, whereas its inhibition impedes the transition. Overall, our findings suggest that YTHDF2 facilitates the removal of pluripotency gene transcripts and Gstp1, thereby promoting PNT reprogramming through mA-mediated posttranscriptional control.

摘要

N6-甲基腺苷(mA)在发育和细胞重编程中发挥着关键作用。在胚胎发育过程中,多能性从幼稚状态转变为启动状态,模拟反向的启动态到幼稚态转变(PNT)为研究多能性调控提供了一个有价值的框架。在此,我们表明抑制METTL3以mA依赖的方式显著促进PNT。机制上,我们发现抑制METTL3和YTHDF2可延长PNT过程中多能性相关mRNA(如Nanog和Sox2)的寿命。此外,Gstp1被鉴定为METTL3抑制和YTHDF2敲除的下游靶点。Gstp1过表达增强PNT,而抑制它则阻碍这种转变。总体而言,我们的研究结果表明YTHDF2促进多能性基因转录本和Gstp1的清除,从而通过mA介导的转录后控制促进PNT重编程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ab0/12116966/d6c25780565e/13619_2025_241_Fig1_HTML.jpg

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