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Sample Preparation and Relative Quantitation using Reductive Methylation of Amines for Peptidomics Studies
Published on: November 4, 2021
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An efficient, amine-specific iTRAQ labeling method improves the peptide and protein identification rates
Ruomeng Chang1, Chenchen Chang1, Yan Cai1
1Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China.
Journal of Proteomics
|June 28, 2024
Summary
A new method improves isotope tags for relative and absolute quantification (iTRAQ) labeling by minimizing overlabeling on hydroxyl groups. This enhances peptide and protein identification rates for more accurate proteome quantification.
Area of Science:
- Proteomics
- Analytical Chemistry
- Biochemistry
Background:
- Isotope tags for relative and absolute quantification (iTRAQ) are widely used for proteomics quantification.
- Standard iTRAQ labeling can react with hydroxyl groups (serine, threonine, tyrosine), especially near histidine, causing biases and reducing identification rates.
Purpose of the Study:
- To develop a novel iTRAQ labeling method that overcomes detrimental overlabeling while maintaining high amine labeling efficiency.
- To optimize reaction conditions including temperature, concentration, time, buffer, and pH.
Main Methods:
- Investigated the impact of various reaction parameters on iTRAQ labeling performance.
- Compared the novel method against the standard iTRAQ manufacturer's method.
Main Results:
- The novel method reduced overlabeled peptides by 55-fold compared to the standard method.
- Achieved comparable amine labeling efficiency.
- Eliminated systematic bias against histidyl- and hydroxyl-containing peptides.
- Increased peptide identification by 23.9% and protein identification by 9.8%.
Conclusions:
- The developed iTRAQ labeling method significantly enhances proteome quantification accuracy and sensitivity.
- This method offers superior performance by mitigating overlabeling issues inherent in standard iTRAQ protocols.

