Journal
PROTEOMICS
Volume 9, Issue 17, Pages 4265-4270Publisher
WILEY-BLACKWELL
DOI: 10.1002/pmic.200900108
Keywords
Biomarkers; Database search; MS; N-15 metabolic labeling; Technology; Quantitative proteomics
Funding
- BMBF
- Max Planck Society
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Quantitative proteomics using stable isotope labeling strategies combined with MS is an important tool for biomarker discovery. Methods involving stable isotope metabolic labeling result in optimal quantitative accuracy, since they allow the immediate combination of two or more samples. Unfortunately, stable isotope incorporation rates in metabolic labeling experiments using mammalian organisms usually do not reach 100%. As a consequence, protein identifications in N-15 database searches have poor success rates. We report on a strategy that significantly improves the number of N-15-labeled protein identifications and results in a more comprehensive and accurate relative peptide quantification workflow.
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