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Updated: Sep 15, 2025

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

Published on: April 29, 2022

An Optimized SP3 Sample Processing Workflow for In-Depth and Reproducible Phosphoproteomics.

Leonard A Daly^1,2, Christopher J Clarke^1,2, Sally O Oswald^1,2

¹Centre for Proteome Research, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K.

Journal of Proteome Research

|July 17, 2025

Summary

This summary is machine-generated.

This study introduces an improved phosphoproteomics workflow using carboxylated SP3 beads. The optimized method significantly enhances phosphopeptide identification, nearly doubling results compared to standard techniques.

Keywords:

C18 PTM SP3 TiO2 mass spectrometry multiply phosphorylated phosphoproteomics phosphorylation proteomics

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Last Updated: Sep 15, 2025

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

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Published on: April 29, 2022

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Published on: May 4, 2022

Area of Science:

Biochemistry
Proteomics
Molecular Biology

Background:

Protein phosphorylation is a key post-translational modification regulating protein function in biological processes.
High-throughput mass spectrometry has advanced phosphoproteomics, but sample preparation lags behind.
Current methods limit the full exploitation of phosphoproteomic analysis capabilities.

Purpose of the Study:

To present an optimized phosphoproteomics workflow using carboxylated SP3 magnetic beads.
To improve phosphopeptide identification and detection of multiply phosphorylated peptides.
To address limitations in current sample preparation methodologies for phosphoproteomics.

Main Methods:

Utilized carboxylated SP3 magnetic beads for simplified proteomics sample preparation.
Implemented a washing step with 8 M urea.
Omitted conventional C18 solid-phase extraction (SPE) cleanup.

Main Results:

Achieved a nearly 2-fold increase in phosphopeptide identifications in HEK-293T cell extracts (7908 vs. 4129) compared to standard SP3.
Observed substantial improvements in the detection of multiply phosphorylated peptides.
Demonstrated enhanced phosphoproteome coverage with the refined protocol.

Conclusions:

The optimized SP3 workflow significantly enhances phosphopeptide identification and detection.
Current peptide-based workflows may under-represent the complexity of post-translational modification cross-talk.
Methodological innovations are crucial for a comprehensive understanding of the phosphoproteome.