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PMID: 9879356 Published · ppublish English Journal Article

Rapid protein identification using a microscale electrospray LC/MS system on an ion trap mass spectrometer.

Journal of the American Society for Mass Spectrometry ·Vol. 9 ·No. 3 ·1998-03-00 ·Pages 194-201

Davis MT, Lee TD

Abstract

A methodology has been developed for the rapid identification of gel separated proteins. Following in gel protein digestion with trypsin, the resulting peptide mixture is analyzed by on-line liquid chromatography, electrospray mass spectrometry (LC/MS). The mass spectral data containing either accurate mass values or sequence specific fragment ion information is then matched to a database of known protein sequences. Key features of the LC/MS system are the use of a novel integrated, microscale LC column-electrospray interface and variable flow solvent delivery to optimize the efficiency of sample loading and gradient elution. With these enhancements, only 10 min is required to analyze each sample. The method is routine for sample amounts ranging from 50 to 500 fmol. The analysis parameters for the ion trap mass spectrometer have to be carefully adjusted in order to keep pace with the rapidly eluting LC peaks. Although designed for rapid LC separations, the integrated column-electrospray interface is also able to provide extended analyses of selected components using a technique known as "peak parking".

MeSH Terms
Amino Acid Sequence Chromatography, High Pressure Liquid Chromatography, Liquid Databases, Factual Gels/analysis Indicators and Reagents Mass Spectrometry Molecular Sequence Data Proteins/analysis Trypsin
Chemicals
Gels Indicators and Reagents Proteins Trypsin
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Davis M T
Beckman Research Institute of the City of Hope, Duarte, California, USA.
Lee T D
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16 references, click to expand
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Article Info
Journal
Journal of the American Society for Mass Spectrometry
Abbr.
J Am Soc Mass Spectrom
ISSN
1044-0305
Published
1998-03-00
Pages
194-201
Language
English
Region
United States
NLM ID
9010412
Subset
IM
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