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 inCell Vol. 157; no. 5; pp. 1073 - 1087
Main Authors Birnbaum, Michael E., Mendoza, Juan L., Sethi, Dhruv K., Dong, Shen, Glanville, Jacob, Dobbins, Jessica, Özkan, Engin, Davis, Mark M., Wucherpfennig, Kai W., Garcia, K. Christopher
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 22.05.2014
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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.
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
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  organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
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  fullname: Sethi, Dhruv K.
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  surname: Dong
  fullname: Dong, Shen
  organization: Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
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  surname: Glanville
  fullname: Glanville, Jacob
  organization: Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
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  givenname: Jessica
  surname: Dobbins
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– 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.
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– 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
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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
URI https://dx.doi.org/10.1016/j.cell.2014.03.047
https://www.ncbi.nlm.nih.gov/pubmed/24855945
https://search.proquest.com/docview/1528885905
https://search.proquest.com/docview/1540229075
https://pubmed.ncbi.nlm.nih.gov/PMC4071348
Volume 157
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