Reconstituting T cell receptor selection in-silico

Research output: Contribution to journalArticlepeer-review

Abstract

Each T cell receptor (TCR) gene is created without regard for which substances (antigens) the receptor can recognize. T cell selection culls developing T cells when their TCRs (i) fail to recognize major histocompatibility complexes (MHCs) that act as antigen presenting platforms or (ii) recognize with high affinity self-antigens derived from healthy cells and tissue. While T cell selection has been thoroughly studied, little is known about which TCRs are retained or removed by this process. Therefore, we develop an approach using TCR gene sequencing and machine learning to identify patterns in TCR protein sequences influencing the outcome of T cell receptor selection. We verify the trained models classify TCRs from developing T cells as being before selection and TCRs from mature T cells as being after selection. Our approach may provide future avenues for studying the relationship between T cell selection and conditions like autoimmune diseases.

Original languageEnglish (US)
Pages (from-to)187-193
Number of pages7
JournalGenes and Immunity
Volume22
Issue number3
DOIs
StatePublished - Jul 2021

ASJC Scopus subject areas

  • Immunology
  • Genetics
  • Genetics(clinical)

Fingerprint

Dive into the research topics of 'Reconstituting T cell receptor selection in-silico'. Together they form a unique fingerprint.

Cite this