Protein Dynamic Landscape of Pig Embryos during Peri-Implantation Development

J Proteome Res. 2024 Feb 2;23(2):775-785. doi: 10.1021/acs.jproteome.3c00656. Epub 2024 Jan 16.

Abstract

Properly developed embryos are critical for successful embryo implantation. The dynamic landscape of proteins as executors of biological processes in pig peri-implantation embryos has not been reported so far. In this study, we collected pig embryos from days 9, 12, and 15 of pregnancy during the peri-implantation stage for a PASEF-based quantitative proteomic analysis. In total, approximately 8000 proteins were identified. These proteins were classified as stage-exclusive proteins and stage-specific proteins, respectively, based on their presence and dynamic abundance changes at each stage. Functional analysis showed that their roles are consistent with the physiological processes of corresponding stages, such as the biosynthesis of amino acids and peptides at P09, the regulation of actin cytoskeletal organization and complement activation at P12, and the vesicular transport at P15. Correlation analysis between mRNAs and proteins showed a general positive correlation between pig peri-implantation embryonic mRNAs and proteins. Cross-species comparisons with human early embryos identified some conserved proteins that may be important in regulating embryonic development, such as STAT3, AP2A1, and PFAS. Our study provides a comprehensive overview of the pig embryo proteome during implantation, fills gaps in relevant developmental studies, and identifies some important proteins that may serve as potential targets for future research.

Keywords: development; implantation; peri-implantation embryo; pig; proteome.

Publication types

  • Review

MeSH terms

  • Animals
  • Embryo Implantation* / physiology
  • Embryo, Mammalian / metabolism
  • Embryonic Development
  • Female
  • Humans
  • Peptides / metabolism
  • Pregnancy
  • Proteome / genetics
  • Proteome / metabolism
  • Proteomics*
  • Swine

Substances

  • Peptides
  • Proteome