Literature DB >> 30408168

PRBAM: a new tool to analyze the MHC class I and HLA-DR anchor motifs.

Anna Mestre-Ferrer1, Erika Scholz1, Jepi Humet-Alsius2, Iñaki Alvarez1.   

Abstract

Major histocompatibility complex (MHC) genes are highly polymorphic, which makes each MHC molecule different regarding their peptide repertoire, so they can bind and present to T lymphocytes. The increasing importance of immunopeptidomics and its use in personalized medicine in different fields such as oncology or autoimmunity demand the correct analysis of the peptide repertoires bound to human leukocyte antigen type 1 (HLA-I) and HLA-II molecules. Purification of the peptide pool by affinity chromatography and individual peptide sequencing using mass spectrometry techniques is the standard protocol to define the binding motifs of the different MHC-I and MHC-II molecules. The identification of MHC-I binding motifs is relatively simple, but it is more complicated for MHC-II. There are some programs that identify the anchor motifs of MHC-II molecules. However, these programs do not identify the anchor motif correctly for some HLA-II molecules and some anchor motifs have been deduced using subjective interpretation of the data. Here, we present a new software, called PRBAM (Peptide Repertoire-Based Anchor Motif) that uses a new algorithm based on the peptide-MHC interactions and, using peptide lists obtained by mass spectrometry sequencing, identifies the binding motif of MHC-I and HLA-DR molecules. PRBAM has an easy-to-use interface, and the results are presented in graphics, tables and peptide lists. Finally, the fact that PRBAM uses a new algorithm makes it complementary to other existing programs.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  MHC/HLA; antigen presentation; bioinformatics; peptidome; proteomics

Mesh:

Substances:

Year:  2018        PMID: 30408168      PMCID: PMC6328992          DOI: 10.1111/imm.13020

Source DB:  PubMed          Journal:  Immunology        ISSN: 0019-2805            Impact factor:   7.397


  41 in total

1.  ProPred: prediction of HLA-DR binding sites.

Authors:  H Singh; G P Raghava
Journal:  Bioinformatics       Date:  2001-12       Impact factor: 6.937

2.  Improved methods for predicting peptide binding affinity to MHC class II molecules.

Authors:  Kamilla Kjaergaard Jensen; Massimo Andreatta; Paolo Marcatili; Søren Buus; Jason A Greenbaum; Zhen Yan; Alessandro Sette; Bjoern Peters; Morten Nielsen
Journal:  Immunology       Date:  2018-02-06       Impact factor: 7.397

3.  Increased diversity of the HLA-B40 ligandome by the presentation of peptides phosphorylated at their main anchor residue.

Authors:  Miguel Marcilla; Adán Alpízar; Manuel Lombardía; Antonio Ramos-Fernandez; Manuel Ramos; Juan Pablo Albar
Journal:  Mol Cell Proteomics       Date:  2013-12-23       Impact factor: 5.911

4.  The peptide-binding motif of HLA-DR8 shares important structural features with other type 1 diabetes-associated alleles.

Authors:  L Muixí; M Gay; P M Muñoz-Torres; C Guitart; J Cedano; J Abian; I Alvarez; D Jaraquemada
Journal:  Genes Immun       Date:  2011-06-09       Impact factor: 2.676

5.  X-ray crystal structure of HLA-DR4 (DRA*0101, DRB1*0401) complexed with a peptide from human collagen II.

Authors:  A Dessen; C M Lawrence; S Cupo; D M Zaller; D C Wiley
Journal:  Immunity       Date:  1997-10       Impact factor: 31.745

6.  Minimal alterations in the HLA-B27-bound peptide repertoire induced upon infection of lymphoid cells with Salmonella typhimurium.

Authors:  M Ramos; I Alvarez; F García-del-Portillo; J A López de Castro
Journal:  Arthritis Rheum       Date:  2001-07

7.  The Cys-67 residue of HLA-B27 influences cell surface stability, peptide specificity, and T-cell antigen presentation.

Authors:  I Alvarez; M Martí; J Vázquez; E Camafeita; S Ogueta; J A López de Castro
Journal:  J Biol Chem       Date:  2001-10-22       Impact factor: 5.157

8.  HLA class I binding motifs derived from random peptide libraries differ at the COOH terminus from those of eluted peptides.

Authors:  M P Davenport; K J Smith; D Barouch; S W Reid; W M Bodnar; A C Willis; D F Hunt; A V Hill
Journal:  J Exp Med       Date:  1997-01-20       Impact factor: 14.307

9.  TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR molecules.

Authors:  Lianming Zhang; Yiqing Chen; Hau-San Wong; Shuigeng Zhou; Hiroshi Mamitsuka; Shanfeng Zhu
Journal:  PLoS One       Date:  2012-02-23       Impact factor: 3.240

10.  The immune epitope database (IEDB) 3.0.

Authors:  Randi Vita; James A Overton; Jason A Greenbaum; Julia Ponomarenko; Jason D Clark; Jason R Cantrell; Daniel K Wheeler; Joseph L Gabbard; Deborah Hix; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2014-10-09       Impact factor: 16.971

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