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Expitope: A web server for epitope expression.

Bioinformatics 31, 1854-1856 (2015)
Verlagsversion DOI PMC
Open Access Gold
MOTIVATION: Adoptive T cell therapies based on introduction of new T cell receptors (TCRs) into patient recipient T cells is a promising new treatment for various kinds of cancers. A major challenge, however, is the choice of target antigens. If an engineered TCR can cross-react with self-antigens in healthy tissue, the side-effects can be devastating. We present the first webserver for assessing epitope sharing when designing new potential lead targets. We enable the users to find all known proteins containing their peptide of interest. The web server returns not only exact matches, but also approximate ones, allowing a number of mismatches of the users choice. For the identified candidate proteins the expression values in various healthy tissues, representing all vital human organs, are extracted from RNA-Seq data as well as from some cancer tissues as control. All results are returned to the user sorted by a score, which is calculated using well established methods and tools for immunological predictions. It depends on the probability that the epitope is created by proteasomal cleavage and its affinities to the TAP transporter and the MHC class I alleles. With this framework we hope to provide a helpful tool to exclude potential cross-reactivity in the early stage of TCR selection for use in design of adoptive T cell immunotherapy. Availability: The Expitope web server can be accessed via http://webclu.bio.wzw.tum.de/expitope. CONTACT: haase@wzw.tum.de.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter T-cell Epitopes; Neural-networks; Prediction; Affinities; Proteasome; Peptides; Toxicity; Cleavage
Sprache englisch
Veröffentlichungsjahr 2015
HGF-Berichtsjahr 2015
e-ISSN 1367-4811
Zeitschrift Bioinformatics
Quellenangaben Band: 31, Heft: 11, Seiten: 1854-1856 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Verlagsort Oxford
Begutachtungsstatus Peer reviewed
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er) Enabling and Novel Technologies
Immune Response and Infection
PSP-Element(e) G-503700-001
G-501790-001
G-501700-001
PubMed ID 25644270
Scopus ID 84941662915
Erfassungsdatum 2015-05-05