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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Clinical proteomics: current status, challenges, and future perspectives
1Graduate Institute of Medicine and Center for Research Resources and Development, Kaohsiung Medical University, Kaohsiung, Taiwan. shchiou@kmu.edu.tw
The Kaohsiung Journal of Medical Sciences
|February 19, 2011
Summary
Mass spectrometry (MS)-based proteomics offers powerful tools for analyzing protein expression. This review covers advanced MS platforms and techniques for clinical researchers in the postgenomic era.
Area of Science:
- Proteomics
- Mass Spectrometry
- Biotechnology
Background:
- Proteomics is crucial for understanding cellular functions and disease mechanisms.
- Mass spectrometry (MS) provides powerful capabilities for analyzing complex protein mixtures.
- Advances in MS technology are revolutionizing protein expression analysis.
Purpose of the Study:
- To provide an overview and evaluation of current MS-based proteomics platforms and technologies.
- To guide clinical researchers new to MS-based proteomics.
- To highlight the potential of MS strategies in disease-related research.
Main Methods:
- Matrix-assisted laser desorption ionization-MS and electron-spray ionization.
- Gel-based proteomics (1D/2D).
- Gel-free shotgun proteomics with LC/MS/MS.
- Multiple reaction monitoring (MRM) coupled tandem MS for quantitative proteomics.
- Phosphoproteomics using immobilized metal affinity chromatography (IMAC) and LC-MS/MS.
Main Results:
- MS-based proteomics enables detailed characterization of molecular sizes and protein expression profiles.
- These platforms are versatile for analyzing diverse biological samples and disease states.
- The reviewed strategies facilitate protein expression analysis in various organisms and tissues.
Conclusions:
- MS-based proteomics is a powerful methodology in modern life sciences.
- Advanced MS platforms offer significant potential for protein expression analysis in clinical research.
- The reviewed techniques are essential for advancing postgenomic research and understanding disease.
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