Comparative maternal protein profiling of mouse biparental and uniparental embryos

Author:

Chen Fumei1ORCID,Ma Buguo12,Lin Yongda12,Luo Xin1,Xu Tao1,Zhang Yuan1,Chen Fang12,Li Yanfei12,Zhang Yaoyao12,Luo Bin12,Zhang Qingmei12ORCID,Xie Xiaoxun12ORCID

Affiliation:

1. Department of Histology and Embryology, School of Pre-Clinical Medicine, Guangxi Medical University , Nanning, Guangxi 530021, P. R. China

2. Central Laboratory, School of Pre-Clinical Medicine, Guangxi Medical University , Nanning, Guangxi 530021, P. R. China

Abstract

Abstract Background Maternal proteins have important roles during early embryonic development. However, our understanding of maternal proteins is still very limited. The integrated analysis of mouse uniparental (parthenogenetic) and biparental (fertilized) embryos at the protein level creates a protein expression landscape that can be used to explore preimplantation mouse development. Results Using label-free quantitative mass spectrometry (MS) analysis, we report on the maternal proteome of mouse parthenogenetic embryos at pronucleus, 2-cell, 4-cell, 8-cell, morula, and blastocyst stages and highlight dynamic changes in protein expression. In addition, comparison of proteomic profiles of parthenogenotes and fertilized embryos highlights the different fates of maternal proteins. Enrichment analysis uncovered a set of maternal proteins that are strongly correlated with the subcortical maternal complex, and we report that in parthenogenotes, some of these maternal proteins escape the fate of protein degradation. Moreover, we identified a new maternal factor-Fbxw24, and highlight its importance in early embryonic development. We report that Fbxw24 interacts with Ddb1-Cul4b and may regulate maternal protein degradation in mouse. Conclusions Our study provides an invaluable resource for mechanistic analysis of maternal proteins and highlights the role of the novel maternal factor Fbw24 in regulating maternal protein degradation during preimplantation embryo development.

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Guangxi Province

Guangxi First-Class Discipline Project for Basic Medicine Sciences

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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