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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
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Is label-free LC-MS/MS ready for biomarker discovery?
Marianne Sandin1, Aakash Chawade, Fredrik Levander
1Department of Immunotechnology, Lund University, Lund, Sweden.
Proteomics. Clinical Applications
|February 7, 2015
Summary
Label-free liquid chromatography-mass spectrometry (LC-MS) enables high-throughput quantitative proteomics for biomarker discovery. Despite challenges, its successful application in clinical studies is increasing.
Area of Science:
- Proteomics
- Biomarker Discovery
- Mass Spectrometry
Background:
- Label-free liquid chromatography-mass spectrometry (LC-MS) is a powerful tool for high-throughput quantitative proteomics.
- Its straightforward sample processing and scalability make it suitable for large-scale clinical studies and biomarker discovery.
- However, the research community exhibits hesitation in adopting these methods for clinical proteomics.
Purpose of the Study:
- To discuss the advantages and disadvantages of label-free LC-MS/MS for biomarker discovery.
- To outline the essential requirements for the successful implementation of label-free LC-MS/MS.
- To highlight successful applications of label-free LC-MS/MS in identifying novel biomarkers.
Main Methods:
- Review and discussion of label-free LC-MS/MS methodologies.
- Analysis of prerequisites for successful clinical proteomics studies using label-free approaches.
- Compilation of case studies demonstrating successful biomarker identification.
Main Results:
- Label-free LC-MS/MS offers significant advantages for high-throughput quantitative proteomics and biomarker discovery.
- Key prerequisites for successful application include robust data analysis pipelines and standardized workflows.
- Several studies successfully identified novel biomarkers using label-free LC-MS/MS, demonstrating its potential.
Conclusions:
- Label-free LC-MS/MS is a viable and increasingly accepted technique for clinical proteomics.
- Addressing current hesitations through clear guidelines and successful case studies will foster wider adoption.
- The future likely holds increased utilization of label-free methods in biomarker discovery.
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