A systematic approach for comprehensive T-cell epitope discovery using peptide libraries
Author(s) -
Tim Beißbarth,
Jason A. TyeDin,
Gordon K. Smyth,
Terence P. Speed,
Robert P. Anderson
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti1013
Subject(s) - epitope , elispot , computational biology , major histocompatibility complex , t cell , epitope mapping , computer science , mhc class i , biology , antigen , immune system , immunology
T-cell response to peptides bound on MHC Class I or Class II molecules is essential for immune recognition of pathogens. T-cells are activated by specific peptide epitopes that are determined within the antigen processing pathways and presented on the surface of other cells bound to MHC molecules. To determine which part of allergenic or pathogenic proteins can stimulate T-cells is important for the treatment of diseases. We sought to take advantage of the falling cost of synthetic, screening grade peptides, and devise a comprehensive, non-hypothesis-driven screen for T-cell epitopes. We were interested in the study of celiac disease (CD) and used the ELISPOT technique to perform a large number of T-cell assays. We therefore needed to compensate for the lack of statistical data analysis methods for ELISPOT assays.
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