1fyt Citations

Structure of a covalently stabilized complex of a human alphabeta T-cell receptor, influenza HA peptide and MHC class II molecule, HLA-DR1.

EMBO J. 19 5611-24 (2000)
Cited: 11 times
EuropePMC logo PMID: 11060013


An alphabeta T-cell receptor (alphabetaTCR)/hemagglutinin (HA) peptide/human leukocyte antigen (HLA)-DR1 complex was stabilized by flexibly linking the HA peptide with the human HA1.7 alphabetaTCR, to increase the local concentration of the interacting proteins once the peptide has been loaded onto the major histocompatibility complex (MHC) molecule. The structure of the complex, determined by X-ray crystallography, has a binding mode similar to that of the human B7 alphabetaTCR on a pMHCI molecule. Twelve of the 15 MHC residues contacted are at the same positions observed earlier in class I MHC/peptide/TCR complexes. One contact, to an MHC loop outside the peptide-binding site, is conserved and specific to pMHCII complexes. TCR gene usage in the response to HA/HLA-DR appears to conserve charged interactions between three lysines of the peptide and acidic residues on the TCR.

Reviews - 1fyt mentioned but not cited (3)

  1. Design and engineering of deimmunized biotherapeutics. Griswold KE, Bailey-Kellogg C. Curr. Opin. Struct. Biol. 39 79-88 (2016)
  2. The versatility of the αβ T-cell antigen receptor. Bhati M, Cole DK, McCluskey J, Sewell AK, Rossjohn J. Protein Sci. 23 260-272 (2014)
  3. The structural basis of αβ T-lineage immune recognition: TCR docking topologies, mechanotransduction, and co-receptor function. Wang JH, Reinherz EL. Immunol. Rev. 250 102-119 (2012)

Articles - 1fyt mentioned but not cited (8)

  1. Structure of a covalently stabilized complex of a human alphabeta T-cell receptor, influenza HA peptide and MHC class II molecule, HLA-DR1. Hennecke J, Carfi A, Wiley DC. EMBO J. 19 5611-5624 (2000)
  2. Specificity and detection of insulin-reactive CD4+ T cells in type 1 diabetes in the nonobese diabetic (NOD) mouse. Crawford F, Stadinski B, Jin N, Michels A, Nakayama M, Pratt P, Marrack P, Eisenbarth G, Kappler JW. Proc. Natl. Acad. Sci. U.S.A. 108 16729-16734 (2011)
  3. Modeling the ternary complex TCR-Vbeta/CollagenII(261-273)/HLA-DR4 associated with rheumatoid arthritis. De Rosa MC, Giardina B, Bianchi C, Carelli Alinovi C, Pirolli D, Ferraccioli G, De Santis M, Di Sante G, Ria F. PLoS ONE 5 e11550 (2010)
  4. MH(2)c: Characterization of major histocompatibility α-helices - an information criterion approach. Hischenhuber B, Frommlet F, Schreiner W, Knapp B. Comput Phys Commun 183 1481-1490 (2012)
  5. Integrated assessment of predicted MHC binding and cross-conservation with self reveals patterns of viral camouflage. He L, De Groot AS, Gutierrez AH, Martin WD, Moise L, Bailey-Kellogg C. BMC Bioinformatics 15 Suppl 4 S1 (2014)
  6. An effective and effecient peptide binding prediction approach for a broad set of HLA-DR molecules based on ordered weighted averaging of binding pocket profiles. Shen WJ, Zhang S, Wong HS. Proteome Sci 11 S15 (2013)
  7. An automated framework for understanding structural variations in the binding grooves of MHC class II molecules. Yeturu K, Utriainen T, Kemp GJ, Chandra N. BMC Bioinformatics 11 Suppl 1 S55 (2010)
  8. DynaDom: structure-based prediction of T cell receptor inter-domain and T cell receptor-peptide-MHC (class I) association angles. Hoffmann T, Marion A, Antes I. BMC Struct. Biol. 17 2 (2017)