Identification of monoclonal anti-HMW-MAA antibody linear peptide epitope by proteomic database mining

被引:21
作者
Mittelman, A
Tiwari, R
Lucchese, G
Willers, J
Dummer, R
Kanduc, D
机构
[1] Univ Bari, Dept Biochem & Mol Biol, I-70125 Bari, Italy
[2] New York Med Coll, Dept Med Oncol, Valhalla, NY 10595 USA
[3] New York Med Coll, Dept Microbiol & Immunol, Valhalla, NY 10595 USA
[4] Univ Zurich Hosp, Dept Dermatol, CH-8091 Zurich, Switzerland
关键词
computational biology; epitope mapping; HMW MAA; melanoma; proteomics;
D O I
10.1111/j.0022-202X.2004.23417.x
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
An efficient strategy is presented for the identification of antigenic sequences in the context of given MHC molecules of interest. The proteomic analysis of the antigenic peptide repertoire is described and demonstrated by using high-molecular weight melanoma-associated antigen. The identification of the epitopic sequence of a monoclonal antibody raised against the 250 kDa tumor associated antigen was reached by using only seven short synthetic peptide fragments, instead of the 155 non-overlapping 15-mer peptides theoretically necessary as minimum screening library. The present result has been obtained by applying as driving criteria the analysis of the peptide affinity to MHC class II molecules and the non-self discrimination concept.
引用
收藏
页码:670 / 675
页数:6
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