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Updated: Jan 27, 2026

Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification
Published on: August 17, 2015
Selective Identification and Site-Specific Quantification of 4-Hydroxy-2-nonenal-Modified Proteins
Siwen Zhang, Caiyun Fang1, Wenjuan Yuan
1Department of Chemistry , Fudan University , Shanghai , 200433 , P. R. China.
This study introduces a new method, six-plex isobaric labeling affinity purification (SiLAP), for identifying and quantifying 4-hydroxy-2-nonenal (HNE)-modified proteins. SiLAP provides a large dataset of HNE-modified proteins, aiding in understanding their roles in cellular functions and diseases.
Area of Science:
- Proteomics
- Biochemistry
- Cellular Biology
Background:
- 4-Hydroxy-2-nonenal (HNE)-modified proteins are crucial in cellular functions and disease.
- Accurate qualitative and quantitative analysis of HNE modifications is essential for understanding protein structure and function.
Purpose of the Study:
- To develop and validate a novel method for simultaneous identification and quantification of HNE-modified proteins.
- To establish a comprehensive dataset of HNE-modified proteins and their modification sites.
Main Methods:
- A six-plex isobaric labeling affinity purification (SiLAP) method was developed using aminoxyTMT six-plex and anti-TMT antibody resin.
- The method was optimized for labeling efficiency, ionization efficiency, and quantification reliability.
- SiLAP was applied to analyze both endogenous and exogenous HNE modifications.
Main Results:
- The SiLAP strategy demonstrated high sensitivity, accuracy, and reproducibility.
- A dataset of 2257 HNE-modified peptides from 1121 proteins was quantified, representing the largest such dataset with detailed modification sites.
- 101 proteins showed differential HNE modification across six liver cell lines, and 33 endogenous HNE-modified peptides were identified.
Conclusions:
- The SiLAP method is a powerful tool for comprehensive qualitative and quantitative analysis of HNE-modified proteins.
- This approach significantly advances the study of HNE modifications in cellular processes and disease pathogenesis.
- The generated dataset provides valuable insights into the biological roles of HNE modification.
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