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Titolo:
alpha-cyano-4-hydroxycinnamic acid affinity sample preparation. A protocolfor MALDI-MS peptide analysis in proteomics
Autore:
Gobom, J; Schuerenberg, M; Mueller, M; Theiss, D; Lehrach, H; Nordhoff, E;
Indirizzi:
Max Planck Inst Mol Genet, Berlin, Germany Max Planck Inst Mol Genet Berlin Germany nst Mol Genet, Berlin, Germany Bruker Dalton, Bremen, Germany Bruker Dalton Bremen GermanyBruker Dalton, Bremen, Germany
Titolo Testata:
ANALYTICAL CHEMISTRY
fascicolo: 3, volume: 73, anno: 2001,
pagine: 434 - 438
SICI:
0003-2700(20010201)73:3<434:AAASPA>2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
SEQUENCE DATABASES; PROTEINS; IDENTIFICATION; GELS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Physical, Chemical & Earth Sciences
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Gobom, J Max Planck Inst Mol Genet, Ihnestr 73, Berlin, Germany Max PlanckInst Mol Genet Ihnestr 73 Berlin Germany in, Germany
Citazione:
J. Gobom et al., "alpha-cyano-4-hydroxycinnamic acid affinity sample preparation. A protocolfor MALDI-MS peptide analysis in proteomics", ANALYT CHEM, 73(3), 2001, pp. 434-438

Abstract

We present a new MALDI sample preparation technique for peptide analysis using the matrix alpha -cyano-4-hydroxycinnamic acid (CHCA) and prestructured sample supports. The preparation integrates sample purification, based onthe affinity of microcrystalline CHCA for peptides, thereby simplifying the analysis of crude peptide mixtures. Enzymatic digests can thus be prepared directly, without preceding purification. Prepared samples are homogeneous, facilitating automatic spectra acquisition, This method allows preparation of large numbers of samples with little effort and without the need for automation. These features make the described preparation suitable for cost-efficient high-throughput protein identification. Performance of the sample preparation is demonstrated with in situ proteolytic digests of human brain proteins separated by two-dimensional gel electrophoresis.

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Documento generato il 29/11/20 alle ore 07:06:22