Analyzing T cell receptor alpha/beta usage in binding to the pMHC

Ryan Ehrlich, Dario Ghersi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

T cells play a critical role in the adaptive immune response. They perform their function by recognizing infected cells presenting peptides on a specialized complex known as the MHC. The recognition process involves binding of the peptideloaded MHC to the T cell receptor (TCR), a surface molecule comprised of an alpha and a beta chain. A large body of evidence suggests that T cells can respond to previously unseen pathogens, a phenomenon known as cross-reactivity. Crossreactivity has important medical implications, as cross-reactive responses can be either protective or lead to disease. A possible mechanism that has been proposed to explain cross-reactivity is the differential usage of the alpha and beta chains, whereas one peptide can be recognized predominantly by the alpha chain and a different peptide by the beta chain. In this study we carry out a systematic analysis of a non-redundant set of 67 crystal structures, measuring TCR alpha/beta usage and its relationship with structural features of the interaction. Our results show a wide range of TCR alpha/beta usage in different complexes. Further, we find that alpha/beta usage significantly correlates with one of the docking angles between the TCR and the MHC.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
EditorsIllhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-87
Number of pages5
ISBN (Electronic)9781509030491
DOIs
StatePublished - Dec 15 2017
Event2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Duration: Nov 13 2017Nov 16 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Country/TerritoryUnited States
CityKansas City
Period11/13/1711/16/17

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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