Identification of monoclonal anti-HMW-MAA antibody linear peptide epitope by proteomic database mining.
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.
Mittelman
Abraham
A
Departments of Medicine/Oncology, New York Medical College, Valhalla, New York, USA.
Tiwari
Raj
R
Lucchese
Guglielmo
G
Willers
Jörg
J
Dummer
Reinhard
R
Kanduc
Darja
D
D000595:Amino Acid Sequence; D000911:Antibodies, Monoclonal / Q000276:immunology*; D000951:Antigens, Neoplasm / Q000737:chemistry* / Q000276:immunology* / Q000378:metabolism; D030562:Databases, Protein; D000939:Epitopes / Q000737:chemistry* / Q000276:immunology; D006031:Glycosylation; D006801:Humans; D008969:Molecular Sequence Data; D040901:Proteomics; D000099216:Chondroitin Sulfate Proteoglycan 4
D000911:Antibodies, Monoclonal; D000951:Antigens, Neoplasm; D000939:Epitopes; D000099216:Chondroitin Sulfate Proteoglycan 4