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 annotated 2-DE map. Using a parallel process, all proteins of a 2-DE are first simultaneously digested proteolytically and electro-transferred onto a polyvinylidene difluoride (PVDF) 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 online. It is a multi-dimensional representation of a proteome, that contains interpreted PMF data in addition to protein identification results. This “MS-imaging” method represents a major step towards the development of a clinical molecular scanner.
Reproduced with permission of (Binz, Muller et al., 1999). Copyright (1999) American Chemical Society
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Binz, P. et al. (2005). Signal Traitment and Virtual Images Production (1/2). In: Bienvenut, W.V. (eds) Acceleration and Improvement of Protein Identification by Mass Spectrometry. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3319-2_4
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DOI: https://doi.org/10.1007/1-4020-3319-2_4
Publisher Name: Springer, Dordrecht
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