Dataset Information

Protein expression landscape of mouse embryos during pre-implantation development

ABSTRACT: Pre-implantation embryo development is an intricate and precisely regulated process orchestrated by maternally inherited proteins and newly synthesized proteins following zygotic genome activation. Although genomic and transcriptomic studies have enriched our understanding of genetic programs underlying this process, the protein expression landscape remains unexplored. Using quantitative mass spectrometry, we identified nearly 5000 proteins from 8000 mouse embryos of each stage (zygote, 2-cell, 4-cell, 8-cell, morula, blastocyst). We found that protein expression of zygote, morula and blastocyst show apparent difference from 2- to 8-cell embryos. Analysis of protein phosphorylation led to extraction of critical kinases and signal transduction pathways. We identified novel factors and proved that they play important roles in early embryo development. Combined analysis of transcriptomic and proteomic data reveals coordinated control of RNA degradation, transcription and translation, and identifies novel exon junction-derived peptides. Our study provides an invaluable resource for further mechanistic studies and suggests novel players governing pre-implantation embryo development.

ORGANISM(S): Mus musculus

PROVIDER: GSE106612 | GEO | 2018/01/09

SECONDARY ACCESSION(S): PRJNA417454

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Despite many improvements with in vitro culture systems, the quality and developmental ability of mammalian embryos produced in vitro is still lower than their in vivo counterparts. To bring knowledge to answer this question, we used a mass spectrometry (MS) approach to compare the protein content of bovine embryos that were conceived in vivo or produced in vitro. A total of 38 pools of grade-1 quality bovine embryos at the 4-6 cell, 8-12 cell, morula, compact morula and blastocyst stages developed either in vivo or in vitro were analyzed by nano-liquid chromatography coupled with label-free quantitative mass spectrometry, allowing the identification of 3,028 proteins. Multivariate analysis of quantified proteins showed a clear separation of embryo pools according to their in vivo or in vitro origin at all stages. Three clusters of differentially abundant proteins (DAPs) according to embryo origin were evidenced, including 463 proteins more abundant in vivo than in vitro across development, and 314 and 222 proteins more abundant in vitro than in vivo before and after the morula stage, respectively. The functional analysis of proteins found more abundant in vivo showed an enrichment in carbohydrate metabolism and cytoplasmic cellular components. Proteins found more abundant in vitro before the morula stage were mostly localized in mitochondrial matrix and involved in ATP-dependent activity while those overabundant after morula stage were mostly localized in the ribonucleoprotein complex and involved in protein synthesis. Oviductin and other proteins previously shown to interact with early embryos in vitro were among the most overabundant proteins after in vivo development. In conclusion, the maternal environment led to faster degradation of mitochondrial proteins at early embryo developmental stages, lower abundance of proteins involved in protein synthesis at the time of embryonic genome activation and a global upregulation of carbohydrate and small molecule metabolic pathways compared to in vitro produced embryos. Furthermore, our data confirm that embryos developed in vivo uptake large amounts of oviduct fluid-derived proteins as soon as the 4-6 cell stage. These data provide new insight into the molecular contribution of the mother to the developmental ability of early embryos and will help designing better in vitro culture systems.

Dataset Information

Protein expression landscape of mouse embryos during pre-implantation development

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets