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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
A systematic N-terminal peptide quantitative labeling strategy for differential proteomic analysis.
Xin Liu1, Jiyang Zhang, Zhaobin Zheng
1State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, PR China.
Proteomics. Clinical Applications
|December 8, 2010
Summary
This study introduces a novel strategy for differential proteomic analysis, enhancing accuracy and efficiency in identifying potential biomarkers from complex biological samples like plasma and cerebrospinal fluid.
Area of Science:
- Proteomics
- Biomarker Discovery
- Analytical Chemistry
Background:
- Differential proteomic analysis is crucial for identifying disease biomarkers.
- Existing methods can be limited in accuracy and efficiency.
- A systematic approach is needed for complex biological samples.
Purpose of the Study:
- To develop a new systematic strategy for differential proteomic analysis.
- To improve the accuracy and efficiency of quantitative proteomic studies.
- To facilitate the discovery of potential biomarkers in clinical and biological samples.
Main Methods:
- Stable isotope-coded N-terminal acetyl labeling for guanidinated peptides.
- Liquid Chromatography-Tandem Mass Spectrometry (LTQ-FT MS) for data acquisition.
- An in-house graphic user interface program "MS-based acetyl quantification" for automated data processing.
Main Results:
- The method demonstrated high effectiveness with a linear dynamic range from 0.1 to 10 (R(2) >0.999) and sensitivity down to 25 fmol.
- Statistical analysis of plasma samples showed a 99% confidence interval for quantitative ratios.
- Pilot study on cerebrospinal fluid identified 33 dysregulated proteins, showcasing method's practicality.
Conclusions:
- The developed strategy is a promising alternative for differential proteomic analysis.
- It enables efficient exploration of potential biomarkers in complex clinical and biological samples.
- Confirms utility in analyzing plasma proteins and cerebrospinal fluid.

