Proteomics of phosphorylation and protein dynamics during fertilization and meiotic exit in the Xenopus egg

Marc Presler1, Elizabeth Van Itallie1, Allon M Klein1

  • 1Department of Systems Biology, Harvard Medical School, Boston, MA 02115.

Insights

Fertilization triggers limited protein degradation but extensive dephosphorylation, preparing the egg for development. This study quantifies protein and phosphosite dynamics during egg activation.

Area of Science:

  • Cell Biology
  • Developmental Biology
  • Proteomics

Background:

  • Fertilization initiates egg development through complex molecular events.
  • Protein activity regulation via degradation and phosphorylation is crucial.
  • The precise extent of these regulatory processes remains largely unquantified.

Purpose of the Study:

  • To quantify absolute protein and phosphosite dynamics during the egg fertilization response.
  • To develop and apply novel mass spectrometry-based proteomics methods for dynamic phosphoregulation analysis.
  • To elucidate the roles of protein degradation and phosphorylation in meiotic exit and polyspermy prevention.

Main Methods:

  • Utilized mass spectrometry-based proteomics for absolute quantification of proteins and phosphosites.
  • Developed a novel approach for calculating phosphosite stoichiometry in dynamic phosphorylation scenarios.
  • Analyzed electroactivated eggs to capture fertilization-induced molecular changes.

Main Results:

  • Identified limited degradation primarily affecting low-abundance proteins.
  • Observed extensive dephosphorylation across various protein abundances during meiotic exit.
  • Detected significant protein release into the medium and increased phosphorylation post-fertilization, linked to polyspermy blocks and kinases.

Conclusions:

  • Protein degradation plays a targeted role, facilitating widespread dephosphorylation during meiotic resumption.
  • Fertilization involves substantial extracellular protein release and kinase-mediated phosphorylation.
  • The developed analytical methods offer broad applicability for studying dynamic biological systems.