A molecular scanner to automate proteomic research and to display proteome images

被引:98
作者
Binz, PA
Müller, M
Walther, D
Bienvenut, WV
Gras, R
Hoogland, C
Bouchet, G
Gasteiger, E
Fabbretti, R
Gay, S
Palagi, P
Wilkins, MR
Rouge, V
Tonella, L
Paesano, S
Rossellat, G
Karmime, A
Bairoch, A
Sanchez, JC
Appel, RD
Hochstrasser, DF
机构
[1] Univ Geneva, Med Ctr, Swiss Inst Bioinformat, CH-1211 Geneva 4, Switzerland
[2] Univ Hosp Geneva, Cent Lab Clin Chem, CH-1211 Geneva 14, Switzerland
关键词
D O I
10.1021/ac990449e
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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 electrotransferred 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.
引用
收藏
页码:4981 / 4988
页数:8
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