| Literature DB >> 10565287 |
P A Binz1, M Müller, D Walther, W V Bienvenut, R Gras, C Hoogland, G Bouchet, E Gasteiger, R Fabbretti, S Gay, P Palagi, M R Wilkins, V Rouge, L Tonella, S Paesano, G Rossellat, A Karmime, A Bairoch, J C Sanchez, R D Appel, D F Hochstrasser.
Abstract
Identification and characterization of all proteins expressed by a genome in biological samples represent major challenges in proteomics. Today's commonly used high-throughput approaches combine two-dimensional electrophoresis (2-DE) with peptide mass fingerprinting (PMF) analysis. Although automation is often possible, a number of limitations still adversely affect the rate of protein identification and annotation in 2-DE databases: the sequential excision process of pieces of gel containing protein; the enzymatic digestion step; the interpretation of mass spectra (reliability of identifications); and the manual updating of 2-DE databases. We present a highly automated method that generates a fully annoated 2-DE map. Using a parallel process, all proteins of a 2-DE are first simultaneously digested proteolytically and electro-transferred onto a poly(vinylidene difluoride) membrane. The membrane is then directly scanned by MALDI-TOF MS. After automated protein identification from the obtained peptide mass fingerprints using PeptIdent software (http://www.expasy.ch/tools/peptident.html + ++), a fully annotated 2-D map is created on-line. It is a multidimensional representation of a proteome that contains interpreted PMF data in addition to protein identification results. This "MS-imaging" method represents a major step toward the development of a clinical molecular scanner.Entities:
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Year: 1999 PMID: 10565287 DOI: 10.1021/ac990449e
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986