Signature peptide selection workflow for biomarker quantification using LC-MS-based targeted proteomics.
Bioanalysis
; 15(5): 295-300, 2023 Mar.
Article
en En
| MEDLINE
| ID: mdl-37040396
In contrast to quantification of biotherapeutics, endogenous protein biomarker and target quantification using LC-MS based targeted proteomics can require a much more stringent and time-consuming tryptic signature peptide selection for each specific application. While some general criteria exist, there are no tools currently available in the public domain to predict the ionization efficiency for a given signature peptide candidate. Lack of knowledge of the ionization efficiencies forces investigators to choose peptides blindly, thus hindering method development for low abundant protein quantification. Here, the authors propose a tryptic signature peptide selection workflow to achieve a more efficient method development and to improve success rates in signature peptide selection for low abundant endogenous target and protein biomarker quantification.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Proteómica
/
Espectrometría de Masas en Tándem
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Bioanalysis
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos