Decoding molecular features of bovine oocyte fate during antral follicle growth via single-cell multi-omics analysis

被引:2
|
作者
Zhang, Qiang [1 ]
Zhang, Jingyao [2 ]
Chang, Gang [3 ]
Zhao, Kun [4 ,5 ]
Yao, Yujun [2 ]
Liu, Li [2 ]
Du, Zihuan [2 ]
Wang, Yanping [1 ]
Guo, Xingrong [6 ]
Zhao, Zongsheng [1 ]
Zeng, Weibin [1 ]
Gao, Shuai [2 ]
机构
[1] Shihezi Univ, Coll Anim Sci & Technol, 221 North Fourth Rd, Shihezi 832003, Xinjiang Uygur, Peoples R China
[2] China Agr Univ, Coll Anim Sci & Technol, State Key Lab Anim Biotech Breeding, Frontiers Sci Ctr Mol Design Breeding MOE, Beijing, Peoples R China
[3] Med Sch, Shenzhen Univ, Dept Biochem & Mol Biol, Shenzhen, Peoples R China
[4] Tongji Univ, Sch Life Sci & Technol, Translat Med Ctr Stem Cell Therapy, Frontier Sci Ctr Stem Cell Res, Shanghai, Peoples R China
[5] Tongji Univ, Shanghai East Hosp, Inst Regenerat Med, Frontier Sci Ctr Stem Cell Res,Sch Life Sci & Tech, Shanghai, Peoples R China
[6] Hubei Univ Med, Taihe Hosp, Hubei Key Lab Embryon Stem Cell Res, Hubei Clin Res Ctr Umbil Cord Blood Hematopoiet St, Shiyan, Peoples R China
基金
中国国家自然科学基金;
关键词
cattle; oocyte; antral follicle; single-cell multi-omics sequencing; MATERNAL MESSENGER-RNA; GENE-EXPRESSION; GRANULOSA-CELLS; IN-VITRO; MACROPHAGE; RECEPTOR; REVEALS; CYCLE; PHOSPHORYLATION; POLYADENYLATION;
D O I
10.1093/biolre/ioae114
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Antral follicle size is a useful predictive marker of the competency of enclosed oocytes for yielding an embryo following in vitro maturation and fertilization. However, the molecular mechanisms underpinning oocyte developmental potential during bovine antral follicle growth are still unclear. Here, we used a modified single-cell multi-omics approach to analyze the transcriptome, DNA methylome, and chromatin accessibility in parallel for oocytes and cumulus cells collected from bovine antral follicles of different sizes. Transcriptome profiling identified three types of oocytes (small, medium, and large) that underwent different developmental trajectories, with large oocytes exhibiting the largest average follicle size and characteristics resembling metaphase-II oocytes. Differential expression analysis and real-time polymerase chain reaction assay showed that most replication-dependent histone genes were highly expressed in large oocytes. The joint analysis of multi-omics data revealed that the transcription of 20 differentially expressed genes in large oocytes was associated with both DNA methylation and chromatin accessibility. In addition, oocyte-cumulus interaction analysis showed that inflammation, DNA damage, and p53 signaling pathways were active in small oocytes, which had the smallest average follicle sizes. We further confirmed that p53 pathway inhibition in the in vitro maturation experiments using oocytes obtained from small antral follicles could improve the quality of oocytes and increased the blastocyte rate after in vitro fertilization and culture. Our work provides new insights into the intricate orchestration of bovine oocyte fate determination during antral folliculogenesis, which is instrumental for optimizing in vitro maturation techniques to optimize oocyte quality.
引用
收藏
页码:815 / 833
页数:19
相关论文
共 50 条
  • [41] MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
    Wang, Xiaoying
    Duan, Maoteng
    Li, Jingxian
    Ma, Anjun
    Xin, Gang
    Xu, Dong
    Li, Zihai
    Liu, Bingqiang
    Ma, Qin
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [42] Single-cell multi-omics analysis of lineage development and spatial organization in the human fetal cerebellum
    Yang, Fuqiang
    Zhao, Ziqi
    Zhang, Dan
    Xiong, Yu
    Dong, Xinran
    Wang, Yuchen
    Yang, Min
    Pan, Taotao
    Liu, Chuanyu
    Liu, Kaiyi
    Lin, Yifeng
    Liu, Yongjie
    Tu, Qiang
    Dang, Yashan
    Xia, Mingyang
    Mi, Da
    Zhou, Wenhao
    Xu, Zhiheng
    CELL DISCOVERY, 2024, 10 (01)
  • [43] MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer
    Xiaoying Wang
    Maoteng Duan
    Jingxian Li
    Anjun Ma
    Gang Xin
    Dong Xu
    Zihai Li
    Bingqiang Liu
    Qin Ma
    Nature Communications, 15
  • [44] Single-Cell Multi-Omics Analysis Reveals Hematopoiesis of Aberrant Mast Cells in Systemic Mastocytosis
    Wu, Chenyan
    Boey, Daryl
    Mo, Jiezhen
    Papavasileiou, Sofia
    Ungerstedt, Johanna
    Xu, Miao
    Nilsson, Gunnar
    Dahlin, Joakim S.
    BLOOD, 2022, 140 : 3014 - 3014
  • [45] Exploring structured molecular landscape from single-cell multi-omics data by an explainable multimodal model
    Tang, Hui
    Zhong, Jia-yuan
    Yu, Xiang-tian
    Chai, Hua
    Liu, Rui
    Zeng, Tao
    ISCIENCE, 2024, 27 (12)
  • [46] Single-cell multi-omics analysis revealing immune features of inactivated COVID-19 vaccination in systemic lupus erythematosus patients
    Zheng, Yuxuan
    Wang, Siyuan
    Zhou, Xingyu
    Qiao, Shitong
    Zhao, Xin
    Chen, Yuan
    Li, Zijun
    Li, Zhanguo
    Sun, Xiaolin
    Tan, Shuguang
    He, Jing
    Gao, George Fu
    SCIENCE BULLETIN, 2025, 70 (01) : 42 - 46
  • [47] Multi-omics Analysis to Identify Key Immune Genes for Osteoporosis based on Machine Learning and Single-cell Analysis
    Zhang, Baoxin
    Pei, Zhiwei
    Tian, Aixian
    He, Wanxiong
    Sun, Chao
    Hao, Ting
    Ariben, Jirigala
    Li, Siqin
    Wu, Lina
    Yang, Xiaolong
    Zhao, Zhenqun
    Wua, Lina
    Meng, Chenyang
    Xue, Fei
    Wang, Xing
    Ma, Xinlong
    Zheng, Feng
    ORTHOPAEDIC SURGERY, 2024, 16 (11) : 2803 - 2820
  • [48] Single-cell multi-omics analysis identifies context-specific gene regulatory gates and mechanisms
    Malekpour, Seyed Amir
    Haghverdi, Laleh
    Sadeghi, Mehdi
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (03)
  • [49] Dynamic immune recovery process after liver transplantation revealed by single-cell multi-omics analysis
    Wang, Rui
    Peng, Xiao
    Yuan, Yixin
    Shi, Baojie
    Liu, Yuan
    Ni, Hengxiao
    Guo, Wenzhi
    Yang, Qiwei
    Liu, Pingguo
    Wang, Jie
    Su, Zhaojie
    Yu, Shengnan
    Liu, Dehua
    Zhang, Jinyan
    Xia, Junjie
    Liu, Xueni
    Li, Hao
    Yang, Zhengfeng
    Peng, Zhihai
    INNOVATION, 2024, 5 (03):
  • [50] Efficient Sample Preparation System for Multi-Omics Analysis via Single Cell Mass Spectrometry
    Zhao, Peng
    Feng, Yongxiang
    Wu, Junhan
    Zhu, Junwen
    Yang, Jinlei
    Ma, Xiaoxiao
    Ouyang, Zheng
    Zhang, Xinrong
    Zhang, Wenpeng
    Wang, Wenhui
    ANALYTICAL CHEMISTRY, 2023, 95 (18) : 7212 - 7219