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dc.contributor.author
Ferragut, Fatima Eneida del Valle  
dc.contributor.author
Parket, Robert  
dc.contributor.author
Ternette, Nicola  
dc.contributor.author
Nielsen, Morten  
dc.contributor.author
Gomez, Karina Andrea  
dc.date.available
2024-07-23T15:04:54Z  
dc.date.issued
2023  
dc.identifier.citation
Moving forward with antigen-specific T cell response in Chagas disease: deciphering the immunopeptidome landscape in Trypanosoma cruzi infection; XXXIV Reunión Anual de la Sociedad Argentina de Protozoología; La Plata; Argentina; 2023; 39-39  
dc.identifier.issn
2953-5751  
dc.identifier.uri
http://hdl.handle.net/11336/240690  
dc.description.abstract
T lymphocyte-mediated immune response against Trypanosoma cruzi (T. cruzi), the parasite causing Chagas disease, is relevant for both parasite control and disease pathogenesis. Therefore, the study of T cells results crucial to the understanding of the immune response in patients and thus contribute to the development of therapies and/or vaccines. However, many challenges are faced when attempting to identify T cell epitopes that can be used for diagnostic or preventive purposes. The complexity of the parasite-host interactions added to the large T. cruzi proteome and the diversity of human leukocyte antigen (HLA) haplotypes in humans hamper the characterization of T cellactivating epitopes, with high population coverage. To date, only a limit number of T. cruzi T cell antigens have been described and only a small proportion of HLA population diversity has been covered. To facilitate this issue, we profiled the repertoire of HLA class I and class II-bound peptides presented by human monocyte-derived macrophages infected or not with T. cruzi. Herein we purified HLA-peptide complexes from infected and uninfected cells and characterized the peptide ligands using LC/MS. For this subset of peptides, the binding to HLA class I and II alleles from THP-1 haplotype was predicted by using MHCMotifDecon1.1, NetMHCpan 4.1a and NetMHCIIpan 4.2 algorithms based on artificial neural network trained with empirical HLA binding and immunopeptidomics data. Our approach allowed us to identify 66 T. cruzi encoded ligands originating from 37 proteins, many of them outside TS proteins and with intracellular localization. Additionally, results showed no difference in length between T. cruzi and uninfected host ligands, thus suggesting that the parasite does not alter antigen processing and presentation machinery in the host cell. For T. cruzi source proteins, 8-12-mer and 12-21-mer peptides were extracted for HLA class I and II, respectively. Binding to a set of 19 HLA-A, 28 HLA-B, 19 HLA-C molecules prevalent in Latin America and 28 HLA-DRB1 alleles, 13 HLADPA1/DPB1 and 36 HLA-DQA1/DQB1 haplotypes were predicted using NetMHCpan 4.1 and NetMHCIIpan 4.1 methods, respectively. Finally, we selected 2 sets of 50 peptides each, 19 amino acid residues long, with optimal allelic (and potential T. cruzi strain genomic variation) coverage by using PopCover 2.0 method spanning all HLA alleles previously tested. Those peptides will be validated by evaluating T cell response in chronic Chagas disease patient samples. As far as we know, this study represents the most comprehensive immunopeptidomic dataset available for T. cruzi to date. This knowledge holds great promise for understanding adaptive immune activation in chronic Chagas disease and for direct rational discovery of T cell antigens.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Sociedad Argentina de Protozoología  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
TRYPANOSOMA CRUZI  
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T CELL EPITOPES  
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IMMUNOPEPTIDOME  
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EPITOPE PREDICTION  
dc.subject.classification
Bioquímica y Biología Molecular  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Moving forward with antigen-specific T cell response in Chagas disease: deciphering the immunopeptidome landscape in Trypanosoma cruzi infection  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2024-06-25T14:29:45Z  
dc.journal.volume
2  
dc.journal.pagination
39-39  
dc.journal.pais
Argentina  
dc.journal.ciudad
Ciudad Autónoma de Buenos Aires  
dc.description.fil
Fil: Ferragut, Fatima Eneida del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina  
dc.description.fil
Fil: Parket, Robert. University of Oxford; Reino Unido  
dc.description.fil
Fil: Ternette, Nicola. University of Oxford; Reino Unido  
dc.description.fil
Fil: Nielsen, Morten. Technical University of Denmark; Dinamarca. 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  
dc.description.fil
Fil: Gomez, Karina Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Ingeniería Genética y Biología Molecular "Dr. Héctor N. Torres"; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://protozoologia.org.ar/wp-content/uploads/PARASITUS-Volumen-2-2023-ISSN-2953-5751.pdf  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.conicet.rol
Autor  
dc.coverage
Nacional  
dc.type.subtype
Reunión  
dc.description.nombreEvento
XXXIV Reunión Anual de la Sociedad Argentina de Protozoología  
dc.date.evento
2023-11-01  
dc.description.ciudadEvento
La Plata  
dc.description.paisEvento
Argentina  
dc.type.publicacion
Journal  
dc.description.institucionOrganizadora
Sociedad Argentina de Protozoología  
dc.source.revista
Parasitus  
dc.date.eventoHasta
2023-11-03  
dc.type
Reunión