Comparison of Label-free Methods for Quantifying Human Proteins by Shotgun Proteomics
Howard Hughes Medical Institute · University of Colorado Boulder
Abstract
Measurements of mass spectral peak intensities and spectral counts are promising methods for quantifying protein abundance changes in shotgun proteomic analyses. We describe Serac, software developed to evaluate the ability of each method to quantify relative changes in protein abundance. Dynamic range and linearity using a three-dimensional ion trap were tested using standard proteins spiked into a complex sample. Linearity and good agreement between observed versus expected protein ratios were obtained after normalization and background subtraction of peak area intensity measurements and correction of spectral counts to eliminate discontinuity in ratio estimates. Peak intensity values useful for protein…
Citation impact
- FWCI
- 30.80
- Percentile
- 100%
- References
- 39
Authors
8Topics & keywords
- Shotgun proteomics
- Shotgun
- Computational biology
- Proteomics
- Label-free quantification
- Chemistry
- Quantitative proteomics
- Computer science