A MS data search method for improved 15N-labeled protein identification.
Proteomics
; 9(17): 4265-70, 2009 Sep.
Article
em En
| MEDLINE
| ID: mdl-19722194
ABSTRACT
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 (15)N database searches have poor success rates. We report on a strategy that significantly improves the number of (15)N-labeled protein identifications and results in a more comprehensive and accurate relative peptide quantification workflow.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Espectrometria de Massas
/
Proteínas
/
Bases de Dados de Proteínas
/
Marcação por Isótopo
Tipo de estudo:
Diagnostic_studies
Limite:
Animals
Idioma:
En
Ano de publicação:
2009
Tipo de documento:
Article