NDLI: A modern approach for epitope prediction: identification of foot-and-mouth disease virus peptides binding bovine leukocyte antigen (BoLA) class I molecules

Content Provider	Springer Nature Link
Author	Pandya, Mital Rasmussen, Michael Hansen, Andreas Nielsen, Morten Buus, Soren Golde, William Barlow, John
Copyright Year	2015
Abstract	Major histocompatibility complex (MHC) class I molecules regulate adaptive immune responses through the presentation of antigenic peptides to CD8+ T cells. Polymorphisms in the peptide binding region of class I molecules determine peptide binding affinity and stability during antigen presentation, and different antigen peptide motifs are associated with specific genetic sequences of class I molecules. Understanding bovine leukocyte antigen (BoLA), peptide-MHC class I binding specificities may facilitate development of vaccines or reagents for quantifying the adaptive immune response to intracellular pathogens, such as foot-and-mouth disease virus (FMDV). Six synthetic BoLA class I (BoLA-I) molecules were produced, and the peptide binding motif was generated for five of the six molecules using a combined approach of positional scanning combinatorial peptide libraries (PSCPLs) and neural network-based predictions (NetMHCpan). The updated NetMHCpan server was used to predict BoLA-I binding peptides within the P1 structural polyprotein sequence of FMDV (strain A24 Cruzeiro) for BoLA-101901, BoLA-200801, BoLA-201201, and BoLA-402401. Peptide binding affinity and stability were determined for these BoLA-I molecules using the luminescent oxygen channeling immunoassay (LOCI) and scintillation proximity assay (SPA). The functional diversity of known BoLA alleles was predicted using the MHCcluster tool, and functional predictions for peptide motifs were compared to observed data from this and prior studies. The results of these analyses showed that BoLA alleles cluster into three distinct groups with the potential to define “BoLA supertypes.” This streamlined approach identifies potential T cell epitopes from pathogens, such as FMDV, and provides insight into T cell immunity following infection or vaccination.
Starting Page	691
Ending Page	703
Page Count	13
File Format	PDF
ISSN	00937711
Journal	Immunogenetics
Volume Number	67
Issue Number	11-12
e-ISSN	14321211
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-10-24
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	MHC class I Motif Peptide FMDV Epitope Immunoinformatics Immunology Human Genetics Gene Function Cell Biology Allergology
Content Type	Text
Resource Type	Article
Subject	Genetics Immunology

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