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Characterization at the Molecular Level using Robust Biochemical Approaches of a New Kinase Protein
Published on: June 30, 2019
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Interrogating Kinase-Substrate Relationships with Proximity Labeling and Phosphorylation Enrichment
Tian Zhang1, Anne Fassl2,3, Laura P Vaites1
1Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, United States.
Journal of Proteome Research
|January 19, 2022
Summary
Identifying kinase substrates is difficult. This study introduces Phospho-APEX (pAPEX), a method combining proximity labeling and phosphorylation analysis to rapidly discover novel kinase substrates, including a new MAPK1 substrate.
Area of Science:
- Molecular Biology
- Cellular Signaling
- Biochemistry
Background:
- Kinases regulate cellular processes via phosphorylation.
- Identifying specific kinase-substrate interactions remains a significant challenge in molecular biology.
- Proximity labeling coupled with mass spectrometry aids in identifying proteins near a target.
Purpose of the Study:
- To develop and validate a novel method for efficient kinase substrate identification.
- To adapt proximity labeling for simultaneous detection of protein proximity and phosphorylation status.
- To identify novel substrates for specific kinases like MAPK1 and PKA.
Main Methods:
- Phospho-APEX (pAPEX) integrates ascorbate peroxidase (APEX) proximity labeling with phosphoproteomic enrichment.
- The method quantifies changes in protein and phosphorylation site proximity under kinase-active and inactive states.
- Applied to identify substrates of MAPK1 and PKA in human cell lines (HEK293T, HCT116).
Main Results:
- pAPEX successfully identified known and novel candidate kinase substrates.
- Demonstrated identification of MAPK1 substrates in HEK293T and HCT116 cells.
- Confirmed C15orf39 as a novel substrate of MAPK1, validating the pAPEX approach.
Conclusions:
- The pAPEX strategy provides a powerful platform for kinase substrate discovery.
- This method enhances the identification of direct kinase targets by analyzing proximity and phosphorylation.
- The approach is adaptable for broad applications in kinase signaling research.

