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SILAC for biomarker discovery
Author(s) -
Dittmar Gunnar,
Selbach Matthias
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.201400112
Subject(s) - stable isotope labeling by amino acids in cell culture , computational biology , proteomics , biomarker , quantitative proteomics , identification (biology) , biomarker discovery , biology , computer science , biochemistry , gene , botany
SILAC has been employed in MS‐based proteomics for nearly a decade. This method is based on cells in culture metabolically incorporating isotope‐coded essential amino acids and allows the quantification of global protein populations to identify characteristic changes. Variations of this technique developed over the years allow the application of SILAC not only to cell culture derived samples but also to tissues and human specimens, making this powerful technique amenable to clinically relevant samples. In this review, we provide an overview of different SILAC‐derived methods and their use in the identification and development of biomarkers.