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Updated: Jun 20, 2026

Profiling Thiol Redox Proteome Using Isotope Tagging Mass Spectrometry
Published on: March 24, 2012
Engineered Reactive Interfaces Enable Mass Spectrometry Imaging of Multiple Thiols for Decoding PFOS-Induced Redox
Hongmei Xu1,2, Thomas Ka-Yam Lam2, Simin Zhang2
1Institute of Environmental Science, Shanxi University, Taiyuan 030006, China.
This study introduces a new method for visualizing thiols in tissues using a reactive interface, improving sensitivity and spatial accuracy for oxidative stress research. The technique successfully maps thiol distribution and reveals kidney redox changes from pollutant exposure.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Toxicology
Background:
- Spatial profiling of thiols is crucial for understanding redox status and oxidative stress.
- Traditional MALDI MSI methods for thiol visualization suffer from low sensitivity and spatial fidelity due to complex derivatization and matrix adducts.
Purpose of the Study:
- To develop a sensitive and spatially accurate method for profiling multiple thiols in tissues.
- To investigate thiol distribution patterns and oxidative stress-induced changes in tissues.
Main Methods:
- Engineered a reactive interface-assisted chemical derivatization platform using N-(9-Acridinyl) maleimide (NAM) probes.
- Formed a "matrix-tissue-interface" sandwich structure for enhanced thiol detection.
- Utilized MALDI MSI for spatial profiling of thiols like MEA, Cys, Cys-Gly, GSH, and ET.
Main Results:
- The novel platform demonstrated enhanced sensitivity and spatial mapping fidelity for multiple thiols.
- Distinct tissue-specific distribution patterns of various thiols were observed.
- Redox dysregulation in the kidney induced by PFOS exposure was successfully identified.
Conclusions:
- The developed MSI methodology significantly improves derivatization performance for low-abundance molecule imaging.
- This approach facilitates the investigation of oxidative stress-related diseases and pollutant toxicology.
- The reactive interface platform offers a robust tool for sensitive thiol assessment in complex biological samples.
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