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Less label, more free: Approaches in label‐free quantitative mass spectrometry
Author(s) -
Neilson Karlie A.,
Ali Naveid A.,
Muralidharan Sridevi,
Mirzaei Mehdi,
Mariani Michael,
Assadourian Gariné,
Lee Albert,
van Sluyter Steven C.,
Haynes Paul A.
Publication year - 2011
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201000553
Subject(s) - quantitative proteomics , label free quantification , computer science , workflow , proteomics , field (mathematics) , quantitative analysis (chemistry) , chemistry , chromatography , mathematics , biochemistry , database , pure mathematics , gene
In this review we examine techniques, software, and statistical analyses used in label‐free quantitative proteomics studies for area under the curve and spectral counting approaches. Recent advances in the field are discussed in an order that reflects a logical workflow design. Examples of studies that follow this design are presented to highlight the requirement for statistical assessment and further experiments to validate results from label‐free quantitation. Limitations of label‐free approaches are considered, label‐free approaches are compared with labelling techniques, and forward‐looking applications for label‐free quantitative data are presented. We conclude that label‐free quantitative proteomics is a reliable, versatile, and cost‐effective alternative to labelled quantitation.