About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Book chapter ยท Journal article

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

From

Dalhousie University1

Immunoinformatics and Machine Learning, Bioinformatics, Department of Health Technology, Technical University of Denmark2

Bioinformatics, Department of Health Technology, Technical University of Denmark3

Department of Health Technology, Technical University of Denmark4

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).

Language: English
Publisher: Springer
Year: 2019
Pages: 301-307
Series: Methods in Molecular Biology
ISBN: 1493995960 , 1493995979 , 9781493995967 and 9781493995974
ISSN: 19406029 and 10643745
Types: Book chapter and Journal article
DOI: 10.1007/978-1-4939-9597-4_19
ORCIDs: Nielsen, Morten

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis