Integrative Omics Reveals the Metabolic Patterns During Oocyte Growth.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Xiang Zhang, Juan Ge, Yue Wang, Minjian Chen, Xuejiang Guo, Shuai Zhu, Hui Wang, Qiang Wang
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Abstract

Well-controlled metabolism is associated with high-quality oocytes and optimal development of a healthy embryo. However, the metabolic framework that controls mammalian oocyte growth remains unknown. In the present study, we comprehensively depict the temporal metabolic dynamics of mouse oocytes during in vivo growth through the integrated analysis of metabolomics and proteomics. Many novel metabolic features are discovered during this process. Of note, glycolysis is enhanced, and oxidative phosphorylation capacity is reduced in the growing oocytes, presenting a Warburg-like metabolic program. For nucleotide biosynthesis, the salvage pathway is markedly activated during oocyte growth, whereas the de novo pathway is evidently suppressed. Fatty acid synthesis and channeling into phosphoinositides are specifically elevated in oocytes accompanying primordial follicle activation; nevertheless, fatty acid oxidation is reduced in these oocytes simultaneously. Our data establish the metabolic landscape during in vivo oocyte growth and serve as a broad resource for probing mammalian oocyte metabolism.

综合全息研究揭示了卵母细胞生长过程中的代谢模式。
控制良好的新陈代谢与卵母细胞的高质量和健康胚胎的最佳发育有关。然而,控制哺乳动物卵母细胞生长的代谢框架仍然未知。在本研究中,我们通过代谢组学和蛋白质组学的综合分析,全面描述了小鼠卵母细胞在体内生长过程中的时间代谢动态。在这一过程中,我们发现了许多新的代谢特征。值得注意的是,生长中的卵母细胞糖酵解能力增强,氧化磷酸化能力降低,呈现出类似沃伯格的代谢程序。在核苷酸生物合成方面,卵母细胞生长过程中,挽救途径被明显激活,而新生途径则明显受到抑制。伴随原始卵泡激活的卵母细胞中脂肪酸合成和转化为磷酸肌酸的途径特别增加;然而,这些卵母细胞中的脂肪酸氧化同时减少。我们的数据确定了体内卵母细胞生长过程中的新陈代谢状况,为探究哺乳动物卵母细胞的新陈代谢提供了广泛的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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