Characterizing complex peptide mixtures using a multi-dimensional liquid chromatography-mass spectrometry system: Saccharomyces cerevisiae as a model system.
J Chromatogr B Analyt Technol Biomed Life Sci
; 810(1): 69-76, 2004 Oct 15.
Article
en En
| MEDLINE
| ID: mdl-15358309
ABSTRACT
A rugged, reproducible, multi-dimensional LC-MS system was developed to identify and characterize proteins involved in protein-protein interactions and/or protein complexes. Our objective was to optimize chromatographic parameters for complex protein mixture analyses using automated peptide sequence recognition as an analytical end-point. The chromatographic system uses orthogonal separation mechanisms by employing strong cation exchange (SCX) in the first dimension and reversed phase (RP) in the second dimension. The system is fully automated and sufficiently robust to handle direct injections of protein digests. This system incorporates a streamlined post analysis results comparison, called DBParser, which permitted comprehensive evaluation of sample loading and chromatographic conditions to optimize the performance and reproducibility. Peptides obtained from trypsin digestion of a yeast soluble extract provided an open-ended model system containing a wide variety and dynamic range of components. Conditions are described that resulted in an average (n = 4) of 1489 unique peptide identifications, corresponding to 459 non-redundant protein sequence database records (SDRs) in the 20 microg soluble fraction digest.
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01-internacional
Base de datos:
MEDLINE
Asunto principal:
Péptidos
/
Saccharomyces cerevisiae
Idioma:
En
Revista:
J Chromatogr B Analyt Technol Biomed Life Sci
Asunto de la revista:
ENGENHARIA BIOMEDICA
Año:
2004
Tipo del documento:
Article
País de afiliación:
Estados Unidos