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Proteomics. 2011 Feb;11(4):535-53. doi: 10.1002/pmic.201000553. Epub 2011 Jan 17.

Less label, more free: approaches in label-free quantitative mass spectrometry.

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Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia.


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.

[Indexed for MEDLINE]

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