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dc.contributor.author
Fisch, Andressa
dc.contributor.author
Reynisson, Birkir
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Benedictus, Lindert
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Nicastri, Annalisa
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Vasoya, Deepali
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Morrison, Ivan
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Buus, Søren
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Ferreira, Beatriz Rossetti
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De Miranda Santos, Isabel Kinney Ferreira
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Ternette, Nicola
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Connelley, Tim
dc.contributor.author
Nielsen, Morten
dc.date.available
2023-01-24T12:58:55Z
dc.date.issued
2021-05
dc.identifier.citation
Fisch, Andressa; Reynisson, Birkir; Benedictus, Lindert; Nicastri, Annalisa; Vasoya, Deepali; et al.; Integral use of immunopeptidomics and immunoinformatics for the characterization of antigen presentation and rational identification of BoLA-DR-presented peptides and epitopes; American Association of Immunologists; Journal of Immunology; 206; 10; 5-2021; 2489-2497
dc.identifier.issn
0022-1767
dc.identifier.uri
http://hdl.handle.net/11336/185386
dc.description.abstract
MHC peptide binding and presentation is the most selective event defining the landscape of T cell epitopes. Consequently, understanding the diversity of MHC alleles in a given population and the parameters that define the set of ligands that can be bound and presented by each of these alleles (the immunopeptidome) has an enormous impact on our capacity to predict and manipulate the potential of protein Ags to elicit functional T cell responses. Liquid chromatography-mass spectrometry analysis of MHC-eluted ligand data has proven to be a powerful technique for identifying such peptidomes, and methods integrating such data for prediction of Ag presentation have reached a high level of accuracy for both MHC class I and class II. In this study, we demonstrate how these techniques and prediction methods can be readily extended to the bovine leukocyte Ag class II DR locus (BoLA-DR). BoLA-DR binding motifs were characterized by eluted ligand data derived from bovine cell lines expressing a range of DRB3 alleles prevalent in Holstein-Friesian populations. The model generated (NetBoLAIIpan, available as a Web server at www.cbs.dtu.dk/services/ NetBoLAIIpan) was shown to have unprecedented predictive power to identify known BoLA-DR-restricted CD4 epitopes. In summary, the results demonstrate the power of an integrated approach combining advanced mass spectrometry peptidomics with immunoinformatics for characterization of the BoLA-DR Ag presentation system and provide a prediction tool that can be used to assist in rational evaluation and selection of bovine CD4 T cell epitopes.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Association of Immunologists
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
MS
dc.subject
BOLA
dc.subject
EPITOPES
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ANTIGEN PRESENTATION
dc.subject.classification
Otras Ciencias de la Salud
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Ciencias de la Salud
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CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Integral use of immunopeptidomics and immunoinformatics for the characterization of antigen presentation and rational identification of BoLA-DR-presented peptides and epitopes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-20T11:07:11Z
dc.journal.volume
206
dc.journal.number
10
dc.journal.pagination
2489-2497
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Bethesda
dc.description.fil
Fil: Fisch, Andressa. Universidade de Sao Paulo; Brasil
dc.description.fil
Fil: Reynisson, Birkir. Technical University of Denmark; Dinamarca
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Fil: Benedictus, Lindert. The Roslin Institute; Reino Unido
dc.description.fil
Fil: Nicastri, Annalisa. The Jenner Institute; Reino Unido
dc.description.fil
Fil: Vasoya, Deepali. The Roslin Institute; Reino Unido
dc.description.fil
Fil: Morrison, Ivan. The Roslin Institute; Reino Unido
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Fil: Buus, Søren. Universidad de Copenhagen; Dinamarca
dc.description.fil
Fil: Ferreira, Beatriz Rossetti. Universidade de Sao Paulo; Brasil
dc.description.fil
Fil: De Miranda Santos, Isabel Kinney Ferreira. Universidade de Sao Paulo; Brasil
dc.description.fil
Fil: Ternette, Nicola. The Jenner Institute; Reino Unido
dc.description.fil
Fil: Connelley, Tim. Roslin Institute; Reino Unido
dc.description.fil
Fil: Nielsen, Morten. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina. Technical University of Denmark; Dinamarca
dc.journal.title
Journal of Immunology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.aai.org/jimmunol/article/206/10/2489/234505/Integral-Use-of-Immunopeptidomics-and
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.4049/JIMMUNOL.2001409
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