Literature DB >> 18449999

Definition of MHC supertypes through clustering of MHC peptide-binding repertoires.

Pedro A Reche1, Ellis L Reinherz.   

Abstract

Identification of peptides that can bind to major histocompatibility complex (MHC) molecules is important for anticipation of T-cell epitopes and for the design of epitope-based vaccines. Population coverage of epitope vaccines is, however, compromised by the extreme polymorphism of MHC molecules, which is in fact the basis for their differential peptide binding. Therefore, grouping of MHC molecules into supertypes according to peptide-binding specificity is relevant for optimizing the composition of epitope-based vaccines. Despite the fact that the peptide-binding specificity of MHC molecules is linked to their specific amino acid sequences, it is unclear how amino sequence differences correlate with peptide-binding specificities. In this chapter, we detail a method for defining MHC supertypes based on the analysis and subsequent clustering of their peptide-binding repertoires.

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Year:  2007        PMID: 18449999     DOI: 10.1007/978-1-60327-118-9_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  27 in total

1.  Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?

Authors:  Claus Lundegaard; Ole Lund; Morten Nielsen
Journal:  Expert Rev Vaccines       Date:  2012-01       Impact factor: 5.217

Review 2.  Major histocompatibility complex class I binding predictions as a tool in epitope discovery.

Authors:  Claus Lundegaard; Ole Lund; Søren Buus; Morten Nielsen
Journal:  Immunology       Date:  2010-05-26       Impact factor: 7.397

3.  Human leukocyte antigen supertype matching after myeloablative hematopoietic cell transplantation with 7/8 matched unrelated donor allografts: a report from the Center for International Blood and Marrow Transplant Research.

Authors:  Aleksandr Lazaryan; Tao Wang; Stephen R Spellman; Hai-Lin Wang; Joseph Pidala; Taiga Nishihori; Medhat Askar; Richard Olsson; Machteld Oudshoorn; Hisham Abdel-Azim; Agnes Yong; Manish Gandhi; Christopher Dandoy; Bipin Savani; Gregory Hale; Kristin Page; Menachem Bitan; Ran Reshef; William Drobyski; Steven Ge Marsh; Kirk Schultz; Carlheinz R Müller; Marcelo A Fernandez-Viña; Michael R Verneris; Mary M Horowitz; Mukta Arora; Daniel J Weisdorf; Stephanie J Lee
Journal:  Haematologica       Date:  2016-05-31       Impact factor: 9.941

4.  Genome-wide identification of novel vaccine candidates for Plasmodium falciparum malaria using integrative bioinformatics approaches.

Authors:  Satarudra Prakash Singh; Deeksha Srivastava; Bhartendu Nath Mishra
Journal:  3 Biotech       Date:  2017-09-15       Impact factor: 2.406

5.  HLA class I allele promiscuity revisited.

Authors:  Xiangyu Rao; Ilka Hoof; Ana Isabel C A Fontaine Costa; Debbie van Baarle; Can Keşmir
Journal:  Immunogenetics       Date:  2011-06-22       Impact factor: 2.846

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

Authors:  Jason Greenbaum; John Sidney; Jolan Chung; Christian Brander; Bjoern Peters; Alessandro Sette
Journal:  Immunogenetics       Date:  2011-02-09       Impact factor: 2.846

7.  Host-specific adaptation of HIV-1 subtype B in the Japanese population.

Authors:  Takayuki Chikata; Jonathan M Carlson; Yoshiko Tamura; Mohamed Ali Borghan; Takuya Naruto; Masao Hashimoto; Hayato Murakoshi; Anh Q Le; Simon Mallal; Mina John; Hiroyuki Gatanaga; Shinichi Oka; Zabrina L Brumme; Masafumi Takiguchi
Journal:  J Virol       Date:  2014-02-12       Impact factor: 5.103

8.  A HLA-DRB supertype chart with potential overlapping peptide binding function.

Authors:  Arumugam Mohanapriya; Satish Nandagond; Paul Shapshak; Uma Kangueane; Pandjassarame Kangueane
Journal:  Bioinformation       Date:  2010-01-20

9.  Predicting MHC class I epitopes in large datasets.

Authors:  Kirsten Roomp; Iris Antes; Thomas Lengauer
Journal:  BMC Bioinformatics       Date:  2010-02-17       Impact factor: 3.169

Review 10.  Vaccinomics, adversomics, and the immune response network theory: individualized vaccinology in the 21st century.

Authors:  Gregory A Poland; Richard B Kennedy; Brett A McKinney; Inna G Ovsyannikova; Nathaniel D Lambert; Robert M Jacobson; Ann L Oberg
Journal:  Semin Immunol       Date:  2013-06-05       Impact factor: 11.130

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