PHF7 is a novel histone H2A E3 ligase prior to histone-to-protamine exchange during spermiogenesis
文献类型: 外文期刊
第一作者: Wang, Xiukun
作者: Wang, Xiukun;Wei, Leixin;Yang, Suming;Lu, Lei;Yan, Meng;Bai, Meizhu;Li, Na;Li, Jinsong;Kang, Jun-Yan;Liu, Mo-Fang;Wei, Leixin;Yuan, Wen;Yang, Xiaogan;Zuo, Erwei;Lu, Kehuan;Sun, Hongduo;Shao, Zhen;Chen, Yanyan;Long, Juanjuan;Huang, Jing;Lei, Ming;Li, Dangsheng;Zuo, Erwei
作者机构:
关键词: Spermiogenesis; Histone-to-protamine exchange; PHF7; Histone H2A ubiquitylation; E3 ligase
期刊名称:DEVELOPMENT ( 影响因子:6.868; 五年影响因子:7.522 )
ISSN: 0950-1991
年卷期: 2019 年 146 卷 13 期
页码:
收录情况: SCI
摘要: Epigenetic regulation, including histone-to-protamine exchanges, controls spermiogenesis. However, the underlying mechanisms of this regulation are largely unknown. Here, we report that PHF7, a testis-specific PHD and RING finger domain-containing protein, is essential for histone-to-protamine exchange in mice. PHF7 is specifically expressed during spermiogenesis. PHF7 deletion results in male infertility due to aberrant histone retention and impaired protamine replacement in elongated spermatids. Mechanistically, PHF7 can simultaneously bind histone H2A and H3; its PHD domain, a histone code reader, can specifically bind H3K4me3/me2, and its RING domain, a histone writer, can ubiquitylate H2A. Thus, our study reveals that PHF7 is a novel E3 ligase that can specifically ubiquitylate H2A through binding H3K4me3/me2 prior to histone-to-protamine exchange.
分类号:
- 相关文献
作者其他论文 更多>>
-
Quantitative and qualitative analysis of buffalo milk adulteration using Raman spectroscopy and chemometric-deep learning models
作者:Li, Henggang;Li, Wangchang;Xie, Qiyang;Cao, Duming;Xiao, Dilin;Yang, Xiaogan;Li, Henggang;Xie, Qiyang;Cao, Duming;Shang, Jianghua
关键词:Food adulteration; Dairy authentication; Convolutional neural networks; Partial least squares discriminant analysis; Chemometrics; Spectral preprocessing; Non-destructive analysis
-
Multifunctional electrospun nanofibrous film integrated with cinnamon essential oil emulsion stabilized by dealkali lignin for active packaging material
作者:Li, Na;Xiang, Hong-jia;Qiu, Wei-peng;Hong, Yu-xuan;Huang, Kai-wen;Wei, Xiao-qun;Wang, Hong;Wen, Peng;Hu, Teng-gen;Guo, Chuang-zong;Yao, Xu-rui
关键词:Cinnamon essential oil; Dealkali lignin; Emulsion electrospinning; Antibacterial; Antioxidant
-
Converse effects of warming and reclamation on methane uptake in alpine meadows
作者:Huang, Jing;Hu, Guozheng;Ganjurjav, Hasbagan;Gao, Qingzhu;Li, Zheng;Ji, Guoxu;Huang, Jing;Li, Zheng;Ji, Guoxu;Hu, Guozheng;Gao, Qingzhu;Ganjurjav, Hasbagan;Sha, Yubao;Liu, Huihui;Han, Ling;He, Shicheng;Yan, Jun;Wang, Youxia;Xie, Wendong;Gornish, Elise S.
关键词:Warming; Reclamation; Alpine meadows; Cultivated grassland; Qinghai-Tibet Plateau; Methane
-
Biodegradable taro stem cellulose aerogel: A simple approach for adsorbing microplastics and dyestuffs contaminants
作者:Qiu, Wei-peng;Su, Hai-ze;Su, Hao;Li, Na;Lai, Li-shan;Zhu, Jia-le;Xu, Zhen-lin;Wang, Hong;Wen, Peng;Hu, Teng-gen;Zhao, Ya-li;Wen, Peng
关键词:Biomass aerogel; Taro stem microcrystalline cellulose; Microplastics and dyes; Adsorption mechanism
-
Mechanism of fatty acid synthesis metabolism during tuber swelling period of Chinese yam
作者:Li, Na;Zhang, Yanfang;Huo, Xiuwen;Suo, Ningning;Tang, Ye;Guo, Shuchun
关键词:Yam; GC-MS; Fatty acid anabolism; Dioscores; Low-temperature tolerance
-
Jasmonic acid improves cadmium tolerance in rice ( Oryza sativa) by reducing the production of nitric oxide
作者:Yang, Ji Bo;Wang, Hao Yu;Shan, Chuan Jin;Li Zeng, Da;Yang, Ji Bo;Wang, Hao Yu;Huang, Jing;Shan, Chuan Jin;Yan, Jing;Zhong, Chong Wei;Hu, Die;Shen, Ren Fang;Zhu, Xiao Fang;Li Zeng, Da;Yan, Jing;Shen, Ren Fang;Zhu, Xiao Fang;Zhang, Qiang;Zhang, Qiang
关键词:Jasmonic acid (JA); Rice; Cadmium (Cd) stress; Cell wall; Nitric oxide (NO)
-
Inversion of nitrogen and phosphorus contents in cotton leaves based on the Gaussian mixture model and differences in hyperspectral features of UAV
作者:Peng, Lei;Xin, Hui-Nan;Lv, Cai-Xia;Li, Na;Li, Yong-Fu;Geng, Qing-Long;Chen, Shu-Huang;Lai, Ning
关键词:Gaussian mixture modeling; Spectral difference classification; Field trials; Machine learning