Deconstructing the Peptide-MHC Specificity of T Cell Recognition
In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclu...
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Published in | Cell Vol. 157; no. 5; pp. 1073 - 1087 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
22.05.2014
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Subjects | |
Online Access | Get full text |
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Abstract | In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. Although we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep-sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens without necessitating degenerate recognition of nonhomologous peptides.
[Display omitted]
•Deep sequencing peptide-MHC libraries finds hundreds of TCR-reactive peptides•TCRs exhibit limited cross-reactivity for contact residues in peptide antigens•Structures show linkages between distantly related peptide sequences•Novel strategy for identification of naturally occurring TCR ligands
Combinatorial pMHC libraries mated with deep-sequencing analysis reveal that peptide antigens recognized by a given T cell receptor are surprisingly homologous and show that it is possible to predict naturally occurring peptide ligands for TCRs of interest. |
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AbstractList | In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. Although we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep-sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens without necessitating degenerate recognition of nonhomologous peptides. In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. Although we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep-sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens without necessitating degenerate recognition of nonhomologous peptides. [Display omitted] •Deep sequencing peptide-MHC libraries finds hundreds of TCR-reactive peptides•TCRs exhibit limited cross-reactivity for contact residues in peptide antigens•Structures show linkages between distantly related peptide sequences•Novel strategy for identification of naturally occurring TCR ligands Combinatorial pMHC libraries mated with deep-sequencing analysis reveal that peptide antigens recognized by a given T cell receptor are surprisingly homologous and show that it is possible to predict naturally occurring peptide ligands for TCRs of interest. In order to survey a universe of MHC-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs) are thought to be cross-reactive. However, the nature and extent of TCR cross-reactivity has not been conclusively measured experimentally. We developed a system to identify MHC-presented peptide ligands by combining TCR selection of highly diverse yeast-displayed peptide-MHC libraries with deep sequencing. While we identified hundreds of peptides reactive with each of five different mouse and human TCRs, the selected peptides possessed TCR recognition motifs that bore a close resemblance to their known antigens. This structural conservation of the TCR interaction surface allowed us to exploit deep sequencing information to computationally identify activating microbial and self-ligands for human autoimmune TCRs. The mechanistic basis of TCR cross-reactivity described here enables effective surveillance of diverse self and foreign antigens, but without necessitating degenerate recognition of non-homologous peptides. |
Author | Glanville, Jacob Mendoza, Juan L. Garcia, K. Christopher Dong, Shen Wucherpfennig, Kai W. Özkan, Engin Davis, Mark M. Sethi, Dhruv K. Birnbaum, Michael E. Dobbins, Jessica |
AuthorAffiliation | 2 Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 6 Program in Immunology, Harvard Medical School, Boston, MA 02115 4 The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305 5 Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115 1 Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 3 Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 |
AuthorAffiliation_xml | – name: 2 Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 – name: 1 Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 – name: 4 The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305 – name: 5 Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115 – name: 3 Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305 – name: 6 Program in Immunology, Harvard Medical School, Boston, MA 02115 |
Author_xml | – sequence: 1 givenname: Michael E. surname: Birnbaum fullname: Birnbaum, Michael E. organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 2 givenname: Juan L. surname: Mendoza fullname: Mendoza, Juan L. organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 3 givenname: Dhruv K. surname: Sethi fullname: Sethi, Dhruv K. organization: Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115, USA – sequence: 4 givenname: Shen surname: Dong fullname: Dong, Shen organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 5 givenname: Jacob surname: Glanville fullname: Glanville, Jacob organization: Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 6 givenname: Jessica surname: Dobbins fullname: Dobbins, Jessica organization: Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115, USA – sequence: 7 givenname: Engin surname: Özkan fullname: Özkan, Engin organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 8 givenname: Mark M. surname: Davis fullname: Davis, Mark M. organization: Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA – sequence: 9 givenname: Kai W. surname: Wucherpfennig fullname: Wucherpfennig, Kai W. organization: Department of Cancer Immunology & AIDS, Dana-Farber Cancer Institute, Boston, MA 02115, USA – sequence: 10 givenname: K. Christopher surname: Garcia fullname: Garcia, K. Christopher email: kcgarcia@stanford.edu organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24855945$$D View this record in MEDLINE/PubMed |
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Snippet | In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell... In order to survey a universe of major histocompatibility complex (MHC)-presented peptide antigens whose numbers greatly exceed the diversity of the T cell... In order to survey a universe of MHC-presented peptide antigens whose numbers greatly exceed the diversity of the T cell repertoire, T cell receptors (TCRs)... |
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SubjectTerms | Algorithms Amino Acid Sequence Animals Cross Reactions High-Throughput Nucleotide Sequencing HLA Antigens - immunology HLA Antigens - metabolism Humans Ligands Mice Models, Molecular Peptide Library Peptides - chemistry Peptides - immunology Receptors, Antigen, T-Cell - chemistry Receptors, Antigen, T-Cell - immunology T-Lymphocytes - chemistry T-Lymphocytes - immunology |
Title | Deconstructing the Peptide-MHC Specificity of T Cell Recognition |
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