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Is label‐free LC‐MS/MS ready for biomarker discovery?
Author(s) -
Sandin Marianne,
Chawade Aakash,
Levander Fredrik
Publication year - 2015
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201400202
Subject(s) - biomarker discovery , proteomics , biomarker , computer science , workflow , quantitative proteomics , computational biology , chemistry , biology , database , biochemistry , gene
Label‐free LC‐MS methods are attractive for high‐throughput quantitative proteomics, as the sample processing is straightforward and can be scaled to a large number of samples. Label‐free methods therefore facilitate biomarker discovery in studies involving dozens of clinical samples. However, despite the increased popularity of label‐free workflows, there is a hesitance in the research community to use it in clinical proteomics studies. Therefore, we here discuss pros and cons of label‐free LC‐MS/MS for biomarker discovery, and delineate the main prerequisites for its successful employment. Furthermore, we cite studies where label‐free LC‐MS/MS was successfully used to identify novel biomarkers, and foresee an increased acceptance of label‐free techniques by the proteomics community in the near future.