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Isotope-coded affinity tag approach to identify and quantify oxidant-sensitive protein thiols
Mahadevan Sethuraman1, Mark E McComb, Tyler Heibeck
1Vascular Biology Unit, Boston University School of Medicine, MA 02118, USA.
Molecular & Cellular Proteomics : MCP
|January 17, 2004
Summary
This study introduces a new method using isotope-coded affinity tag (ICAT) reagents and mass spectrometry to identify and quantify oxidant-sensitive protein thiols, advancing proteomics research.
Area of Science:
- Proteomics
- Biochemistry
- Analytical Chemistry
Background:
- Protein thiols, particularly cysteine residues, are crucial for cellular function.
- Oxidation of protein thiols can lead to altered protein activity and cellular dysfunction.
- Accurate methods for quantifying thiol redox states are essential for understanding cellular signaling and disease.
Purpose of the Study:
- To develop and validate a novel approach for identifying and quantifying oxidant-sensitive protein thiols.
- To demonstrate the utility of isotope-coded affinity tag (ICAT) reagents in conjunction with mass spectrometry for thiol redox state analysis.
- To establish a proof-of-principle for applying this method in proteomics studies.
Main Methods:
- Utilized a cysteine-specific, acid-cleavable isotope-coded affinity tag (ICAT) reagent for labeling free thiols.
- Employed mass spectrometry to quantify the relative abundance of ICAT-labeled peptides.
- Validated the approach using creatine kinase, a model protein with a known oxidant-sensitive cysteine residue.
Main Results:
- The ICAT method successfully identified and quantified changes in free thiols upon oxidative stress.
- Hydrogen peroxide treatment led to a decrease in the relative abundance of the unmodified thiol at cysteine-283 in creatine kinase.
- This confirmed the method's ability to detect oxidation of specific cysteine thiols.
Conclusions:
- The ICAT-based quantitative mass spectrometry approach is effective for identifying and quantifying oxidation of cysteine thiols.
- This methodology provides a valuable tool for proteomics research focused on protein thiol redox states.
- The approach facilitates deeper insights into cellular redox signaling pathways and their involvement in disease.