Journal
MOLECULAR & CELLULAR PROTEOMICS
Volume 7, Issue 1, Pages 71-87Publisher
AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M700128-MCP200
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Funding
- NCI NIH HHS [R01 CA126239, CA-126239] Funding Source: Medline
- NHLBI NIH HHS [N01-HV-28179] Funding Source: Medline
- PHS HHS [P41-18627] Funding Source: Medline
- DIVISION OF HEART AND VASCULAR DISEASES [N01HV028179] Funding Source: NIH RePORTER
- NATIONAL CANCER INSTITUTE [R01CA126239] Funding Source: NIH RePORTER
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Improvements in ion trap instrumentation have made n-dimensional mass spectrometry more practical. The overall goal of the study was to describe a model for making use of MS2 and MS3 information in mass spectrometry experiments. We present a statistical model for adjusting peptide identification probabilities based on the combined information obtained by coupling peptide assignments of consecutive MS2 and MS3 spectra. Using two data sets, a mixture of known proteins and a complex phosphopeptide-enriched sample, we demonstrate an increase in discriminating power of the adjusted probabilities compared with models using MS2 or MS3 data only. This work also addresses the overall value of generating MS3 data as compared with an MS2-only approach with a focus on the analysis of phosphopeptide data.
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