Enhancing Mass Spectrometry-Based MHC-I Peptide Identification Through a Targeted Database Search Approach

Research output: Chapter in Book/Report/Conference proceedingBook chapter – Annual report year: 2019Researchpeer-review

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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).
Original languageEnglish
Title of host publicationImmunoproteomics: Methods and protocols
EditorsKelly M. Fulton, Susan M. Twine
Number of pages7
Volume2024
PublisherSpringer
Publication date2019
Pages301-307
Chapter19
ISBN (Print)978-1-4939-9596-7
ISBN (Electronic)978-1-4939-9597-4
DOIs
Publication statusPublished - 2019
SeriesMethods in Molecular Biology
ISSN1064-3745
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Bioinformatics, Immuno-informatics, MHC ligandome, MHC peptides, Mass spectrometry, NetMHC, SpectMHC

ID: 187880063