Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs

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Abstract

Physical interactions between T cell receptors (TCRs) and mutation-derived tumour neoantigens (neoAg) presented by major histocompatibility class-I (MHC-I) enable sensitive and specific cytolysis of tumour cells. Adoptive transfer of neoAg-reactive T cells in patients is correlated with response to immunotherapy; however, the structural and cellular mechanisms of neoAg recognition remain poorly understood. We have identified multiple cognate neoAg:TCRs from B16F10, a common murine implantable tumour model of melanoma. We identified a high affinity TCR targeting H2-D b -restricted Hsf2 K72N that conferred specific recognition of B16F10 in vitro and in vivo . Structural characterization of the peptide-MHC (pMHC) binary and pMHC:TCR ternary complexes yielded highresolution crystal structures, revealing the formation of a solvent-exposed hydrophobic arch in H2-Db that enables multiple intermolecular contacts between pMHC and the TCR. These features of structural stability strikingly mimic that of a previously published influenza peptide-H2-D b complex and its corresponding TCR, suggesting that there are shared structural motifs between neoantigens and viral peptides that explain their shared immunogenicity.
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Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs John Finnigan, Jenna Newman, Yury Patskovsky, Larysa Patskovska, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2531184/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Physical interactions between T cell receptors (TCRs) and mutation-derived tumour neoantigens (neoAg) presented by major histocompatibility class-I (MHC-I) enable sensitive and specific cytolysis of tumour cells. Adoptive transfer of neoAg-reactive T cells in patients is correlated with response to immunotherapy; however, the structural and cellular mechanisms of neoAg recognition remain poorly understood. We have identified multiple cognate neoAg:TCRs from B16F10, a common murine implantable tumour model of melanoma. We identified a high affinity TCR targeting H2-D b -restricted Hsf2 K72N that conferred specific recognition of B16F10 in vitro and in vivo . Structural characterization of the peptide-MHC (pMHC) binary and pMHC:TCR ternary complexes yielded highresolution crystal structures, revealing the formation of a solvent-exposed hydrophobic arch in H2-Db that enables multiple intermolecular contacts between pMHC and the TCR. These features of structural stability strikingly mimic that of a previously published influenza peptide-H2-D b complex and its corresponding TCR, suggesting that there are shared structural motifs between neoantigens and viral peptides that explain their shared immunogenicity. Immunology Cancer Biology immunology cancer TCR neoantigen structure Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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