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Updated: Jan 20, 2026

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
Published on: April 18, 2025
Activated Thiol Sepharose-based proteomic approach to quantify reversible protein oxidation.
Yang Xu1,2,3, Joshua Andrade4, Beatrix Ueberheide4,5
1Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
A new proteomic method quantifies reversible protein oxidation, crucial for understanding redox signaling in diseases like kidney cancer. This approach identified oxidized proteins in hereditary leiomyomatosis and renal cell carcinoma (HLRCC).
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Reactive oxygen species (ROS) are vital signaling molecules, but their abnormal levels contribute to diseases like cancer.
- Understanding protein oxidation is key to deciphering reduction-oxidation (redox) signaling pathways.
- Specific protein oxidation changes are implicated in hereditary leiomyomatosis and renal cell carcinoma (HLRCC).
Purpose of the Study:
- To develop and validate a novel proteomic approach for quantifying reversible protein oxidation.
- To apply this method to investigate protein oxidation in hereditary leiomyomatosis and renal cell carcinoma (HLRCC).
Main Methods:
- Developed an Activated Thiol Sepharose-based proteomic (ATSP) approach.
- ATSP enriches for H2O2-sensitive thiol peptides containing reactive cysteines.
- Applied ATSP to analyze protein oxidation in FH-deficient HLRCC cells and cells treated with specific compounds or growth factors.
Main Results:
- Identified multiple oxidized proteins in FH-deficient HLRCC cells, including metabolic proteins like pyruvate kinase M2 (PKM2).
- Observed changes in PKM2 oxidation upon treatment with dimethyl fumarate or PKM2 activators.
- Successfully detected oxidation of specific proteins (e.g., Src homology region 2 domain-containing phosphatase-2, PKM2) in stimulated cells.
Conclusions:
- The ATSP workflow effectively quantifies reversible cysteine oxidation in proteins.
- This redox proteomics method is applicable to various physiological and pathological conditions, including HLRCC.
- The findings provide insights into redox signaling dysregulation in kidney cancer.
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