Nielsen, Morten, et al. “Enhancing Mass Spectrometry-Based MHC-I Peptide Identification through a Targeted Database Search Approach”. Immunoproteomics, edited by Susan Twine and Kelly M. Fulton, Humana, 2019, pp. 301-7, https://doi.org/10.1007/978-1-4939-9597-4_19.

Genre

  • Book, Section
Contributors
Author: Nielsen, Morten
Author: Prathyusha, Konda
Author: Murphy, J. Patrick
Author: Gujar, Shashi
Date Issued
2019
Publisher
Humana
Place Published
New York, NY
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

Language

  • English
Page range
301-307
Host Title
Immunoproteomics
Host Contributors
Editor: Twine, Susan
Editor: Fulton, Kelly M.
Series Title
Methods in Molecular Biology
Series Volume
2024

Department