Less label, more free: Approaches in label‐free quantitative mass spectrometry
Macquarie University · New York University
Abstract
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…
Citation impact
- FWCI
- 37.10
- Percentile
- 100%
- References
- 166
Authors
9Topics & keywords
- Quantitative proteomics
- Label-free quantification
- Computer science
- Workflow
- Proteomics
- Field (mathematics)
- Quantitative analysis (chemistry)
- Chemistry