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dc.contributor.author
Konda, Prathyusha
dc.contributor.author
Murphy, J. Patrick
dc.contributor.author
Nielsen, Morten
dc.contributor.author
Gujar, Shashi
dc.date.available
2022-03-15T21:54:38Z
dc.date.issued
2019-08
dc.identifier.citation
Konda, Prathyusha; Murphy, J. Patrick; Nielsen, Morten; Gujar, Shashi; Enhancing Mass Spectrometry-Based MHC-I Peptide Identification Through a Targeted Database Search Approach; Humana Press; Methods in Molecular Biology; 2024; 2; 8-2019; 301-307
dc.identifier.isbn
978-1-4939-9596-7
dc.identifier.issn
1064-3745
dc.identifier.uri
http://hdl.handle.net/11336/153402
dc.description.abstract
MHC-bound peptide ligands dictate the activation and specificity of CD8+ T- cells-based and thus are important for devising T-cell immunotherapies. In recent times, advances in mass spectrometry (MS) have enabled the precise identification of these peptides, wherein MS/MS spectra are compared against a reference proteome. Unfortunately, matching immunopeptide MS/MS to reference proteome databases is hindered by inflated search spaces attributed to the number of matches that need to be considered due to a lack of enzyme restriction. These large search spaces limit the efficiency with which MHC-I peptides are identified. Here we offer a solution to this problem whereby we describe a targeted database search approach and accompanying tool SpectMHC that is based on a priori predicted MHC-I peptides (Murphy et al., J Proteome Res 16:1806–1816, 2017).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Humana Press
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
BIOINFORMATICS
dc.subject
IMMUNO-INFORMATICS
dc.subject
MASS SPECTROMETRY
dc.subject
MHC LIGANDOME
dc.subject
MHC PEPTIDES
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NETMHC
dc.subject
SPECTMHC
dc.subject.classification
Otras Ciencias Médicas
dc.subject.classification
Otras Ciencias Médicas
dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
dc.title
Enhancing Mass Spectrometry-Based MHC-I Peptide Identification Through a Targeted Database Search Approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-20T18:07:17Z
dc.identifier.eissn
1940-6029
dc.journal.volume
2024
dc.journal.number
2
dc.journal.pagination
301-307
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Konda, Prathyusha. Dalhousie University Halifax; Canadá
dc.description.fil
Fil: Murphy, J. Patrick. Dalhousie University Halifax; Canadá
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.description.fil
Fil: Gujar, Shashi. Dalhousie University Halifax; Canadá. Iwk Health Centre; Canadá
dc.journal.title
Methods in Molecular Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-1-4939-9597-4_19
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/protocol/10.1007/978-1-4939-9597-4_19
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