In silico prediction of binding of promiscuous peptides to multiple MHC class-II molecules identifie

来源 :上海市畜牧兽医学会2011年学术年会 | 被引量 : 0次 | 上传用户:Dustin65928
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  It has not so far been possible to identify rapidly and effectively the anti-schistosomiasis Th cell epitopes that are capable of simulating 1FN-γ(interferon-gamma)-mediated Thl-type protective immunity in response to radiation-attenuated schistosome cercaria. With the advance of theomics studies of schistosomes, an approach that used reverse vaccinology probably resolved the above problems. In this "proof-of-principle"study, first, we selected 31 secreted or transmembrane protein sequences sampled from sequences of the transcriptome of Schistosoma japovaicum, and analyzed characteristics of these proteins by using conventional bioinformatics tools. Second, putative promiscuous Th cell epitopeswithin these proteins were predicted using three to four different immuno-informatics algorithms for the prediction of MHC (Major Histocompatibility Complex) class-11 binding peptides. We predicted using these in silico approaches promiscuous Th cell epitopes that are capable ofbinding to both murine and human MHC class-11 molecules. To validate our in silico prediction experimentally, BALB/c mice were immunizedwith the five predicted peptides, and the proliferative responses and cytokine production of lymphocytes from the immunized BALB/c mice wereassessed in vitro by modified MTT (Methyl Thiazolyl Tetrazolium), EL1SA (Enzyme-linked lmmunosorbent Assay) and flow cytometrymethods. The results showed that two of the five predicted peptides could induce a Thl-type response in vitro. These results suggestthat promiscuous Thl cell epitopes from secreted or transmembrane proteins of S. japonicum can be identified using a strategy of reversevaccinology.
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