Literature DB >> 21305276

Functional classification of class II human leukocyte antigen (HLA) molecules reveals seven different supertypes and a surprising degree of repertoire sharing across supertypes.

Jason Greenbaum1, John Sidney, Jolan Chung, Christian Brander, Bjoern Peters, Alessandro Sette.   

Abstract

Previous studies have attempted to define human leukocyte antigen (HLA) class II supertypes, analogous to the case for class I, on the basis of shared peptide-binding motifs or structure. In the present study, we determined the binding capacity of a large panel of non-redundant peptides for a set of 27 common HLA DR, DQ, and DP molecules. The measured binding data were then used to define class II supertypes on the basis of shared binding repertoires. Seven different supertypes (main DR, DR4, DRB3, main DQ, DQ7, main DP, and DP2) were defined. The molecules associated with the respective supertypes fell largely along lines defined by MHC locus and reflect, in broad terms, commonalities in reported peptide-binding motifs. Repertoire overlaps between molecules within the same class II supertype were found to be similar in magnitude to what has been observed for HLA class I supertypes. Surprisingly, however, the degree to which repertoires between molecules in the different class II supertypes also overlapped was found to be five to tenfold higher than repertoire overlaps noted between molecules in different class I supertypes. These results highlight a high degree of repertoire overlap amongst all HLA class II molecules, perhaps reflecting binding in multiple registers, and more pronounced dependence on backbone interactions rather than peptide anchor residues. This fundamental difference between HLA class I and class II would not have been predicted on the basis of analysis of either binding motifs or the sequence/predicted structures of the HLA molecules.

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Year:  2011        PMID: 21305276      PMCID: PMC3626422          DOI: 10.1007/s00251-011-0513-0

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  57 in total

1.  Binding interactions between peptides and proteins of the class II major histocompatibility complex.

Authors:  Benjamin J McFarland; Craig Beeson
Journal:  Med Res Rev       Date:  2002-03       Impact factor: 12.944

2.  Identifiying human MHC supertypes using bioinformatic methods.

Authors:  Irini A Doytchinova; Pingping Guan; Darren R Flower
Journal:  J Immunol       Date:  2004-04-01       Impact factor: 5.422

3.  On the interaction of promiscuous antigenic peptides with different DR alleles. Identification of common structural motifs.

Authors:  D O'Sullivan; T Arrhenius; J Sidney; M F Del Guercio; M Albertson; M Wall; C Oseroff; S Southwood; S M Colón; F C Gaeta
Journal:  J Immunol       Date:  1991-10-15       Impact factor: 5.422

4.  HLA DR4w4-binding motifs illustrate the biochemical basis of degeneracy and specificity in peptide-DR interactions.

Authors:  A Sette; J Sidney; C Oseroff; M F del Guercio; S Southwood; T Arrhenius; M F Powell; S M Colón; F C Gaeta; H M Grey
Journal:  J Immunol       Date:  1993-09-15       Impact factor: 5.422

5.  A roadmap for HLA-DR peptide binding specificities.

Authors:  G Chelvanayagam
Journal:  Hum Immunol       Date:  1997-12       Impact factor: 2.850

6.  Allelic variation in the DR subregion of the human major histocompatibility complex.

Authors:  J I Bell; D Denney; L Foster; T Belt; J A Todd; H O McDevitt
Journal:  Proc Natl Acad Sci U S A       Date:  1987-09       Impact factor: 11.205

7.  Three-dimensional structure of the human class II histocompatibility antigen HLA-DR1.

Authors:  J H Brown; T S Jardetzky; J C Gorga; L J Stern; R G Urban; J L Strominger; D C Wiley
Journal:  Nature       Date:  1993-07-01       Impact factor: 49.962

8.  Molecular determinants of T cell epitope recognition to the common Timothy grass allergen.

Authors:  Carla Oseroff; John Sidney; Maya F Kotturi; Ravi Kolla; Rafeul Alam; David H Broide; Stephen I Wasserman; Daniela Weiskopf; Denise M McKinney; Jo L Chung; Arnd Petersen; Howard Grey; Bjoern Peters; Alessandro Sette
Journal:  J Immunol       Date:  2010-06-16       Impact factor: 5.422

9.  HLA class I supertypes: a revised and updated classification.

Authors:  John Sidney; Bjoern Peters; Nicole Frahm; Christian Brander; Alessandro Sette
Journal:  BMC Immunol       Date:  2008-01-22       Impact factor: 3.615

10.  Structural requirements for binding of an immunodominant myelin basic protein peptide to DR2 isotypes and for its recognition by human T cell clones.

Authors:  K W Wucherpfennig; A Sette; S Southwood; C Oseroff; M Matsui; J L Strominger; D A Hafler
Journal:  J Exp Med       Date:  1994-01-01       Impact factor: 14.307

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  161 in total

1.  Characterizing the binding motifs of 11 common human HLA-DP and HLA-DQ molecules using NNAlign.

Authors:  Massimo Andreatta; Morten Nielsen
Journal:  Immunology       Date:  2012-07       Impact factor: 7.397

2.  Epitope specific T-cell responses against influenza A in a healthy population.

Authors:  Miloje Savic; Jennifer L Dembinski; Yohan Kim; Gro Tunheim; Rebecca J Cox; Fredrik Oftung; Bjoern Peters; Siri Mjaaland
Journal:  Immunology       Date:  2015-12-08       Impact factor: 7.397

3.  Rational design of low immunogenic anti CD25 recombinant immunotoxin for T cell malignancies by elimination of T cell epitopes in PE38.

Authors:  Ronit Mazor; Gilad Kaplan; Dong Park; Youjin Jang; Fred Lee; Robert Kreitman; Ira Pastan
Journal:  Cell Immunol       Date:  2017-01-05       Impact factor: 4.868

4.  A side-by-side comparison of T cell reactivity to fifty-nine Mycobacterium tuberculosis antigens in diverse populations from five continents.

Authors:  Chelsea Carpenter; John Sidney; Ravi Kolla; Kaustuv Nayak; Helena Tomiyama; Claudia Tomiyama; Oscar A Padilla; Virginie Rozot; Syed F Ahamed; Carlos Ponte; Valeria Rolla; Paulo R Antas; Anmol Chandele; John Kenneth; Seetha Laxmi; Edward Makgotlho; Valentina Vanini; Giuseppe Ippolito; Alexandra S Kazanova; Alexander V Panteleev; Willem Hanekom; Harriet Mayanja-Kizza; David Lewinsohn; Mayuko Saito; M Juliana McElrath; W Henry Boom; Delia Goletti; Robert Gilman; Irina V Lyadova; Thomas J Scriba; Esper G Kallas; Kaja Murali-Krishna; Alessandro Sette; Cecilia S Lindestam Arlehamn
Journal:  Tuberculosis (Edinb)       Date:  2015-08-01       Impact factor: 3.131

5.  Distinct evolutionary strategies of human leucocyte antigen loci in pathogen-rich environments.

Authors:  Alicia Sanchez-Mazas; Jean-François Lemaître; Mathias Currat
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-03-19       Impact factor: 6.237

6.  Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.

Authors:  Derek M Mason; Simon Friedensohn; Cédric R Weber; Christian Jordi; Bastian Wagner; Simon M Meng; Roy A Ehling; Lucia Bonati; Jan Dahinden; Pablo Gainza; Bruno E Correia; Sai T Reddy
Journal:  Nat Biomed Eng       Date:  2021-04-15       Impact factor: 25.671

7.  Optimization of a multivalent peptide vaccine for nicotine addiction.

Authors:  David F Zeigler; Richard Roque; Christopher H Clegg
Journal:  Vaccine       Date:  2019-02-13       Impact factor: 3.641

8.  Computationally optimized deimmunization libraries yield highly mutated enzymes with low immunogenicity and enhanced activity.

Authors:  Regina S Salvat; Deeptak Verma; Andrew S Parker; Jack R Kirsch; Seth A Brooks; Chris Bailey-Kellogg; Karl E Griswold
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-12       Impact factor: 11.205

9.  Matching inside and outside the HLA molecule in allogeneic hematopoietic stem cell transplantation.

Authors:  J Alejandro Madrigal; Linda D Barber
Journal:  Haematologica       Date:  2016-10       Impact factor: 9.941

Review 10.  The identification of potentially pathogenic and therapeutic epitopes from common human allergens.

Authors:  Véronique Schulten; Carla Oseroff; Rafeul Alam; David Broide; Pandurangan Vijayanand; Bjoern Peters; Alessandro Sette
Journal:  Ann Allergy Asthma Immunol       Date:  2012-11-15       Impact factor: 6.347

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