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Updated: Jun 29, 2026

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors
Published on: April 29, 2022
Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes
Jos Boekhorst1, Bas van Breukelen, Albert Heck
1Bioinformatics, Department of Biology, Faculty of Science, Utrecht University, Padualaan, The Netherlands. J.Boekhorst@uu.nl
Comparative analysis of phosphoproteomics data reveals conserved phosphorylation events across eukaryotes, suggesting ancient origins and evolutionary relationships. This highlights the power of comparative phosphoproteomics for understanding protein function.
Area of Science:
- Molecular Biology
- Evolutionary Biology
- Systems Biology
Background:
- Reversible protein phosphorylation regulates diverse cellular processes, including signaling and protein complex assembly.
- The structure and evolution of phosphorylation networks remain largely unexplored.
- High-throughput phosphoproteomics has generated extensive datasets for various model organisms.
Purpose of the Study:
- To comparatively analyze phosphorylation events across different eukaryotic species using novel phosphoproteomics data.
- To investigate the evolutionary conservation and dynamics of phosphorylation networks.
Main Methods:
- Comparative analysis of phosphoproteomics datasets from six eukaryotic species.
- Examination of overlapping phosphorylation sites between species with varying phylogenetic distances.
Main Results:
- Phosphoproteome overlap varied significantly, from ~700 sites (human/mouse) to a single site (fish/yeast).
- Conserved phosphorylation events shared by plants and animals suggest conservation over a billion years.
- Overlap between phosphoproteomes exceeded chance, indicating functional relevance and mirroring species phylogeny.
Conclusions:
- Comparative analysis of phosphoproteomics datasets offers a framework for generating biological insights.
- The growing volume of mass spectrometry data will enhance comparative phosphoproteomics as a tool for studying phosphorylation dynamics.
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