Emerging Concepts in TCR Specificity: Rationalizing and (Maybe) Predicting Outcomes
dc.contributor.author | Singh, Nishant K. | |
dc.contributor.author | Riley, Timothy P. | |
dc.contributor.author | Baker, Sarah Catherine B. | |
dc.contributor.author | Borrman, Tyler M. | |
dc.contributor.author | Weng, Zhiping | |
dc.contributor.author | Baker, Brian M. | |
dc.date | 2022-08-11T08:07:58.000 | |
dc.date.accessioned | 2022-08-23T15:37:56Z | |
dc.date.available | 2022-08-23T15:37:56Z | |
dc.date.issued | 2017-10-01 | |
dc.date.submitted | 2017-11-15 | |
dc.identifier.citation | J Immunol. 2017 Oct 1;199(7):2203-2213. doi: 10.4049/jimmunol.1700744. <a href="https://doi.org/10.4049/jimmunol.1700744">Link to article on publisher's site</a> | |
dc.identifier.issn | 0022-1767 (Linking) | |
dc.identifier.doi | 10.4049/jimmunol.1700744 | |
dc.identifier.pmid | 28923982 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/25831 | |
dc.description.abstract | T cell specificity emerges from a myriad of processes, ranging from the biological pathways that control T cell signaling to the structural and physical mechanisms that influence how TCRs bind peptides and MHC proteins. Of these processes, the binding specificity of the TCR is a key component. However, TCR specificity is enigmatic: TCRs are at once specific but also cross-reactive. Although long appreciated, this duality continues to puzzle immunologists and has implications for the development of TCR-based therapeutics. In this review, we discuss TCR specificity, emphasizing results that have emerged from structural and physical studies of TCR binding. We show how the TCR specificity/cross-reactivity duality can be rationalized from structural and biophysical principles. There is excellent agreement between predictions from these principles and classic predictions about the scope of TCR cross-reactivity. We demonstrate how these same principles can also explain amino acid preferences in immunogenic epitopes and highlight opportunities for structural considerations in predictive immunology. | |
dc.language.iso | en_US | |
dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28923982&dopt=Abstract">Link to Article in PubMed</a></p> | |
dc.relation.url | https://doi.org/10.4049/jimmunol.1700744 | |
dc.subject | Biochemistry, Biophysics, and Structural Biology | |
dc.subject | Bioinformatics | |
dc.subject | Computational Biology | |
dc.subject | Immunology and Infectious Disease | |
dc.subject | Integrative Biology | |
dc.subject | Systems Biology | |
dc.title | Emerging Concepts in TCR Specificity: Rationalizing and (Maybe) Predicting Outcomes | |
dc.type | Journal Article | |
dc.source.journaltitle | Journal of immunology (Baltimore, Md. : 1950) | |
dc.source.volume | 199 | |
dc.source.issue | 7 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/bioinformatics_pubs/122 | |
dc.identifier.contextkey | 11052640 | |
html.description.abstract | <p>T cell specificity emerges from a myriad of processes, ranging from the biological pathways that control T cell signaling to the structural and physical mechanisms that influence how TCRs bind peptides and MHC proteins. Of these processes, the binding specificity of the TCR is a key component. However, TCR specificity is enigmatic: TCRs are at once specific but also cross-reactive. Although long appreciated, this duality continues to puzzle immunologists and has implications for the development of TCR-based therapeutics. In this review, we discuss TCR specificity, emphasizing results that have emerged from structural and physical studies of TCR binding. We show how the TCR specificity/cross-reactivity duality can be rationalized from structural and biophysical principles. There is excellent agreement between predictions from these principles and classic predictions about the scope of TCR cross-reactivity. We demonstrate how these same principles can also explain amino acid preferences in immunogenic epitopes and highlight opportunities for structural considerations in predictive immunology.</p> | |
dc.identifier.submissionpath | bioinformatics_pubs/122 | |
dc.contributor.department | Department of Biochemistry and Molecular Pharmacology | |
dc.contributor.department | Program in Bioinformatics and Integrative Biology | |
dc.source.pages | 2203-2213 |