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Sun Y, Pumroy RA, Mallik L, Chaudhuri A, Wang C, Hwang D, Danon JN, Dasteh Goli K, Moiseenkova-Bell VY, Sgourakis NG. CryoEM structure of an MHC-I/TAPBPR peptide-bound intermediate reveals the mechanism of antigen proofreading. Proc Natl Acad Sci U S A 2025; 122:e2416992122. [PMID: 39786927 PMCID: PMC11745410 DOI: 10.1073/pnas.2416992122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2024] [Accepted: 12/05/2024] [Indexed: 01/30/2025] Open
Abstract
Class I major histocompatibility complex (MHC-I) proteins play a pivotal role in adaptive immunity by displaying epitopic peptides to CD8+ T cells. The chaperones tapasin and TAPBPR promote the selection of immunogenic antigens from a large pool of intracellular peptides. Interactions of chaperoned MHC-I molecules with incoming peptides are transient in nature, and as a result, the precise antigen proofreading mechanism remains elusive. Here, we leverage a high-fidelity TAPBPR variant and conformationally stabilized MHC-I, to determine the solution structure of the human antigen editing complex bound to a peptide decoy by cryogenic electron microscopy (cryo-EM) at an average resolution of 3.0 Å. Antigen proofreading is mediated by transient interactions formed between the nascent peptide binding groove with the P2/P3 peptide anchors, where conserved MHC-I residues stabilize incoming peptides through backbone-focused contacts. Finally, using our high-fidelity chaperone, we demonstrate robust peptide exchange on the cell surface across multiple clinically relevant human MHC-I allomorphs. Our work has important ramifications for understanding the selection of immunogenic epitopes for T cell screening and vaccine design applications.
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Affiliation(s)
- Yi Sun
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Ruth A. Pumroy
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
| | - Leena Mallik
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Apala Chaudhuri
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Chloe Wang
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
- Immunology Graduate Program, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
| | - Daniel Hwang
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Julia N. Danon
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Kimia Dasteh Goli
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
| | - Vera Y. Moiseenkova-Bell
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA19104
| | - Nikolaos G. Sgourakis
- Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA19104
- Center for Computational and Genomic Medicine and Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, PA19104
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2
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Householder KD, Xiang X, Jude KM, Deng A, Obenaus M, Wilson SC, Chen X, Wang N, Garcia KC. De novo design and structure of a peptide-centric TCR mimic binding module. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.16.628822. [PMID: 39763827 PMCID: PMC11702606 DOI: 10.1101/2024.12.16.628822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2025]
Abstract
T cell receptor (TCR) mimics offer a promising platform for tumor-specific targeting of peptide-MHC in cancer immunotherapy. Here, we designed a de novo α-helical TCR mimic (TCRm) specific for the NY-ESO-1 peptide presented by HLA-A*02, achieving high on-target specificity with nanomolar affinity (Kd = 9.5 nM). The structure of the TCRm/pMHC complex at 2.05 Å resolution revealed a rigid TCR-like docking mode with an unusual degree of focus on the up-facing NY-ESO-1 side chains, suggesting the potential for reduced off-target reactivity. Indeed, a structure-informed in silico screen of 14,363 HLA-A*02 peptides correctly predicted two off-target peptides, yet our TCRm maintained a wide therapeutic window as a T cell engager. These results represent a path for precision targeting of tumor antigens with peptide-focused α-helical TCR mimics.
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Affiliation(s)
- Karsten D. Householder
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
- Program in Immunology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Xinyu Xiang
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Kevin M. Jude
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Arthur Deng
- Department of Computer Science, Stanford University; Stanford, CA 94305
| | - Matthias Obenaus
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Steven C. Wilson
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Xiaojing Chen
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
| | - Nan Wang
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
- Howard Hughes Medical Institute, Stanford University School of Medicine; Stanford, CA 94305
| | - K. Christopher Garcia
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine; Stanford, CA 94305 USA
- Department of Structural Biology, Stanford University School of Medicine; Stanford, CA 94305
- Howard Hughes Medical Institute, Stanford University School of Medicine; Stanford, CA 94305
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3
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Du H, Mallik L, Hwang D, Sun Y, Kaku C, Hoces D, Sun SM, Ghinnagow R, Carro SD, Phan HAT, Gupta S, Blackson W, Lee H, Choe CA, Dersh D, Liu J, Bell B, Yang H, Papadaki GF, Young MC, Zhou E, El Nesr G, Goli KD, Eisenlohr LC, Minn AJ, Hernandez-Lopez RA, Jardine JG, Sgourakis NG, Huang PS. Targeting peptide antigens using a multiallelic MHC I-binding system. Nat Biotechnol 2024:10.1038/s41587-024-02505-8. [PMID: 39672954 DOI: 10.1038/s41587-024-02505-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 11/13/2024] [Indexed: 12/15/2024]
Abstract
Identifying highly specific T cell receptors (TCRs) or antibodies against epitopic peptides presented by class I major histocompatibility complex (MHC I) proteins remains a bottleneck in the development of targeted therapeutics. Here, we introduce targeted recognition of antigen-MHC complex reporter for MHC I (TRACeR-I), a generalizable platform for targeting peptides on polymorphic HLA-A*, HLA-B* and HLA-C* allotypes while overcoming the cross-reactivity challenges of TCRs. Our TRACeR-MHC I co-crystal structure reveals a unique antigen recognition mechanism, with TRACeR forming extensive contacts across the entire peptide length to confer single-residue specificity at the accessible positions. We demonstrate rapid screening of TRACeR-I against a panel of disease-relevant HLAs with peptides derived from human viruses (human immunodeficiency virus, Epstein-Barr virus and severe acute respiratory syndrome coronavirus 2), and oncoproteins (Kirsten rat sarcoma virus, paired-like homeobox 2b and New York esophageal squamous cell carcinoma 1). TRACeR-based bispecific T cell engagers and chimeric antigen receptor T cells exhibit on-target killing of tumor cells with high efficacy in the low nanomolar range. Our platform empowers the development of broadly applicable MHC I-targeting molecules for research, diagnostic and therapeutic applications.
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Affiliation(s)
- Haotian Du
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Leena Mallik
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Hwang
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yi Sun
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chengzi Kaku
- Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA, USA
| | - Daniel Hoces
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Shirley M Sun
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Cancer Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Reem Ghinnagow
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Stephen D Carro
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hoang Anh T Phan
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sagar Gupta
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wyatt Blackson
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Hyejin Lee
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Christian A Choe
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Devin Dersh
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jingjia Liu
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Braxton Bell
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Hongli Yang
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Georgia F Papadaki
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael C Young
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Emily Zhou
- Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA, USA
| | - Gina El Nesr
- Biophysics Program, Stanford University, Stanford, CA, USA
| | - Kimia Dasteh Goli
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laurence C Eisenlohr
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Andy J Minn
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rogelio A Hernandez-Lopez
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
- Chan-Zuckerberg Biohub, San Francisco, CA, USA
| | - Joseph G Jardine
- Department of Immunology and Microbiology, Scripps Research Institute, La Jolla, CA, USA
| | - Nikolaos G Sgourakis
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Po-Ssu Huang
- Department of Chemistry, Stanford University, Stanford, CA, USA.
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Biophysics Program, Stanford University, Stanford, CA, USA.
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4
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Karuppiah V, Sangani D, Whaley L, Pengelly R, Uluocak P, Carreira RJ, Hock M, Cristina PD, Bartasun P, Dobrinic P, Smith N, Barnbrook K, Robinson RA, Harper S. Broadening alloselectivity of T cell receptors by structure guided engineering. Sci Rep 2024; 14:26851. [PMID: 39500929 PMCID: PMC11538495 DOI: 10.1038/s41598-024-75140-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 10/03/2024] [Indexed: 11/08/2024] Open
Abstract
Specificity of a T cell receptor (TCR) is determined by the combination of its interactions to the peptide and human leukocyte antigen (HLA). TCR-based therapeutic molecules have to date targeted a single peptide in the context of a single HLA allele. Some peptides are presented on multiple HLA alleles, and by engineering TCRs for specific recognition of more than one allele, there is potential to expand the targetable patient population. Here, as a proof of concept, we studied two TCRs, S2 and S8, binding to the PRAME peptide antigen (ELFSYLIEK) presented by HLA alleles HLA-A*03:01 and HLA-A*11:01. By structure-guided affinity maturation targeting a specific residue on the HLA surface, we show that the affinity of the TCR can be modulated for different alleles. Using a combination of affinity maturation and functional T cell assay, we demonstrate that an engineered TCR can target the same peptide on two different HLA alleles with similar affinity and potency. This work highlights the importance of engineering alloselectivity for designing TCR based therapeutics suitable for differing global populations.
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Affiliation(s)
| | - Dhaval Sangani
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Lorraine Whaley
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Robert Pengelly
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Pelin Uluocak
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | | | - Miriam Hock
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | | | - Paulina Bartasun
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Paula Dobrinic
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Nicola Smith
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Keir Barnbrook
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Ross A Robinson
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK
| | - Stephen Harper
- Immunocore Ltd, 92 Milton Park, Abingdon, Oxfordshire, OX14 4RY, UK.
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5
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Hiratsuka H, Akahori Y, Maeta S, Egashira Y, Shiku H. Fast on-rates of chimeric antigen receptors enhance the sensitivity to peptide MHC via antigen rebinding. J Biol Chem 2024; 300:107651. [PMID: 39122001 PMCID: PMC11407991 DOI: 10.1016/j.jbc.2024.107651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024] Open
Abstract
Chimeric antigen receptor (CAR) is a synthetic receptor that induces T cell-mediated lysis of abnormal cells. As cancer driver proteins are present at low levels on the cell surface, they can cause weak CAR reactivity, resulting in antigen sensitivity defects and consequently limited therapeutic efficacy. Although affinity maturation enhances the efficacy of CAR-T cell therapy, it causes off-target cross-reactions resulting in adverse effects. Preferentially expressed antigen in melanoma (PRAME) is an intracellular oncoprotein that is overexpressed in various tumors and restricted in normal tissues, except the testis. Therefore, PRAME could be an ideal target for cancer immunotherapy. In this study, we developed an experimental CAR system comprising six single-chain variable fragments that specifically recognizes the PRAMEp301/HLA-A∗24:02 complex. Cell-mediated cytotoxicity was demonstrated using a panel of CARs with a wide range of affinities (KD = 10-10-10-7 M) and affinity modulation. CAR-T cells with fast on-rates enhance antigen sensitivity by accelerating the killing rates of these cells. Alanine scanning data demonstrated the potential of genetically engineered CARs to reduce the risk of cross-reactivity, even among CARs with high affinities. Given the correlation between on-rates and dwell time that occurs in rebinding and cell-mediated cytotoxicity, it is proposed that CAR-binding characteristics, including on-rate, play a pivotal role in the lytic capacity of peptide-major histocompatibility complex-targeting CAR-T cells, thus facilitating the development of strategies whereby genetically engineered CARs target intracellular antigens in cancer cells to lyse the cells.
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Affiliation(s)
- Hiroyuki Hiratsuka
- Department of Personalized Cancer Immunotherapy, Graduate School of Medicine, Mie University, Tsu, Mie, Japan.
| | - Yasushi Akahori
- Department of Personalized Cancer Immunotherapy, Graduate School of Medicine, Mie University, Tsu, Mie, Japan.
| | - Shingo Maeta
- Bio-Diagnostic Reagent Technology Center, Sysmex Corporation, Kobe, Hyogo, Japan
| | - Yuriko Egashira
- Bio-Diagnostic Reagent Technology Center, Sysmex Corporation, Kobe, Hyogo, Japan
| | - Hiroshi Shiku
- Department of Personalized Cancer Immunotherapy, Graduate School of Medicine, Mie University, Tsu, Mie, Japan; Center for Comprehensive Cancer Immunotherapy, Mie University, Tsu, Mie, Japan
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6
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Gupta S, Sgourakis NG. A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.597418. [PMID: 38895339 PMCID: PMC11185663 DOI: 10.1101/2024.06.04.597418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Peptides presented by class I major histocompatibility complex (MHC-I) proteins provide biomarkers for therapeutic targeting using T cell receptors (TCRs), TCR-mimicking antibodies (TMAs), or other engineered protein binders. Despite the extreme sequence diversity of the Human Leucocyte Antigen (HLA, the human MHC), a given TCR or TMA is restricted to recognize epitopic peptides in the context of a limited set of different HLA allotypes. Here, guided by our analysis of 96 TCR:pHLA complex structures in the Protein Data Bank (PDB), we identify TCR contact residues and classify 148 common HLA allotypes into T-cell cross-reactivity groups (T-CREGs) on the basis of their interaction surface features. Insights from our work have actionable value for resolving MHC-I restriction of TCRs, guiding therapeutic expansion of existing therapies, and informing the selection of peptide targets for forthcoming immunotherapy modalities.
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7
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McShan AC, Flores-Solis D, Sun Y, Garfinkle SE, Toor JS, Young MC, Sgourakis NG. Conformational plasticity of RAS Q61 family of neoepitopes results in distinct features for targeted recognition. Nat Commun 2023; 14:8204. [PMID: 38081856 PMCID: PMC10713829 DOI: 10.1038/s41467-023-43654-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/15/2023] [Indexed: 12/18/2023] Open
Abstract
The conformational landscapes of peptide/human leucocyte antigen (pHLA) protein complexes encompassing tumor neoantigens provide a rationale for target selection towards autologous T cell, vaccine, and antibody-based therapeutic modalities. Here, using complementary biophysical and computational methods, we characterize recurrent RAS55-64 Q61 neoepitopes presented by the common HLA-A*01:01 allotype. We integrate sparse NMR restraints with Rosetta docking to determine the solution structure of NRASQ61K/HLA-A*01:01, which enables modeling of other common RAS55-64 neoepitopes. Hydrogen/deuterium exchange mass spectrometry experiments alongside molecular dynamics simulations reveal differences in solvent accessibility and conformational plasticity across a panel of common Q61 neoepitopes that are relevant for recognition by immunoreceptors. Finally, we predict binding and provide structural models of NRASQ61K antigens spanning the entire HLA allelic landscape, together with in vitro validation for HLA-A*01:191, HLA-B*15:01, and HLA-C*08:02. Our work provides a basis to delineate the solution surface features and immunogenicity of clinically relevant neoepitope/HLA targets for cancer therapy.
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Affiliation(s)
- Andrew C McShan
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- School of Chemistry & Biochemistry, Georgia Institute of Technology, 901 Atlantic Dr NW, Atlanta, GA, 30318, USA
| | - David Flores-Solis
- Department of Chemistry and Biochemistry, University of California, Santa Cruz, CA, 95064, USA
- German Center for Neurodegenerative Diseases (DZNE), Von-Siebold Straße 3A, 37075, Göttingen, Germany
| | - Yi Sun
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Samuel E Garfinkle
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Jugmohit S Toor
- Department of Chemistry and Biochemistry, University of California, Santa Cruz, CA, 95064, USA
- Immunology Research Program, Henry Ford Cancer Institute, Henry Ford Health, Detroit, MI, 48202, USA
| | - Michael C Young
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Nikolaos G Sgourakis
- Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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