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Updated: Jun 6, 2026
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
Recent advances in clinical proteomics using mass spectrometry.
Paul Dowling1, Paula Meleady, Michael Henry
1National Institute for Cellular Biotechnology (NICB), Dublin City University, Glasnevin, Dublin 9, Ireland.
Bioanalysis
|November 19, 2010
Summary
Clinical proteomics aims to discover and translate biomarkers and therapeutic targets into practice. Advanced technologies enhance disease diagnosis, prognosis, and treatment by analyzing complex biological samples.
Area of Science:
- Proteomics
- Biomarker Discovery
- Molecular Medicine
Background:
- Clinical proteomics seeks to identify and validate biomarkers and therapeutic targets for medical application.
- Tumor biology research benefits from advanced proteomics technologies for disease diagnosis, prognosis, and treatment.
- Complex biological specimens like biofluids, cell lysates, and tissue biopsies are crucial for analysis.
Purpose of the Study:
- To highlight the role of advanced proteomics technologies in clinical practice.
- To emphasize the potential of proteomics in disease diagnosis, prognosis, and treatment.
- To discuss the impact of proteomics on personalized molecular medicine.
Main Methods:
- Mass spectrometry (MS)
- Novel labeling technologies
- Advanced bioinformatics systems
- Improved sample preparation techniques (fractionation and enrichment)
Main Results:
- Detection of disease-associated biomarkers and therapeutic targets in complex biological specimens.
- Analysis of low-abundance proteins and post-translational modifications.
- Advancements enabling the translation of proteomics findings into clinical practice.
Conclusions:
- Proteomics technologies are vital for discovering and translating biomarkers and therapeutic targets.
- Advanced proteomics aids in understanding tumor biology for improved disease management.
- Targeted proteomic diagnostics are essential for the advancement of personalized molecular medicine and healthcare modernization.
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