Literature DB >> 15982559

Antigen processing is predictable: From genes to T cell epitopes.

Stefan Stevanovic1.   

Abstract

In order to induce a cellular immune response, antigens have to be processed in intracellular compartments, transported, and presented by HLA molecules prior to recognition by specific T cells. Many of the events that contribute to antigen processing have been thoroughly investigated during the past years and are now well understood, which lead to a number of prediction programs. "Reverse immunology" has been used for about 10 years in order to identify T cell epitopes from pathogens or tumor-associated antigens. The advantages and pitfalls of T cell epitope prediction compared to classical experimental procedures such as epitope mapping and cloning experiments have been discussed many times. In this presentation, a number of internet programs that offer help in T cell epitope prediction (or prediction of antigen processing) will be discussed in the light of transfusion medicine. Some databases are listing published HLA ligands and T cell epitopes, others offer epitope prediction for many HLA class I or class II restrictions. In addition, a number of established programs will be demonstrated which are freely accessible at no cost in the world wide web for the prediction of either HLA-peptide binding, proteasomal processing of antigens, or both. Epitope prediction and processing prediction programs will be applied to minor histocompatibility antigens (miHAgs) and compared. This reflects the actual possibilities and limitations of such computer-aided work not only in cellular immunology, but also in transplantation immunology.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15982559     DOI: 10.1016/j.trim.2005.03.018

Source DB:  PubMed          Journal:  Transpl Immunol        ISSN: 0966-3274            Impact factor:   1.708


  7 in total

1.  Prediction of epitopes using neural network based methods.

Authors:  Claus Lundegaard; Ole Lund; Morten Nielsen
Journal:  J Immunol Methods       Date:  2010-10-31       Impact factor: 2.303

Review 2.  TCR-like biomolecules target peptide/MHC Class I complexes on the surface of infected and cancerous cells.

Authors:  Jon A Weidanz; Oriana Hawkins; Bhavna Verma; William H Hildebrand
Journal:  Int Rev Immunol       Date:  2011 Oct-Dec       Impact factor: 5.311

3.  HLA class I binding promiscuity of the CD8 T-cell epitopes of human papillomavirus type 16 E6 protein.

Authors:  Mayumi Nakagawa; Kevin H Kim; Tiffany M Gillam; Anna-Barbara Moscicki
Journal:  J Virol       Date:  2006-11-15       Impact factor: 5.103

4.  Peptide microarrays for the profiling of cytotoxic T-lymphocyte activity using minimum numbers of cells.

Authors:  Antje Hoff; Ana-Cristina Bagû; Thomas André; Günter Roth; Karl-Heinz Wiesmüller; Brigitte Gückel; Roland Brock
Journal:  Cancer Immunol Immunother       Date:  2010-05-29       Impact factor: 6.968

5.  Controlling influenza by cytotoxic T-cells: calling for help from destroyers.

Authors:  Michael Schotsaert; Lorena Itatí Ibañez; Walter Fiers; Xavier Saelens
Journal:  J Biomed Biotechnol       Date:  2010-05-24

6.  Expression of angiotensin-converting enzyme changes major histocompatibility complex class I peptide presentation by modifying C termini of peptide precursors.

Authors:  Xiao Z Shen; Aron E Lukacher; Sandrine Billet; Ifor R Williams; Kenneth E Bernstein
Journal:  J Biol Chem       Date:  2008-02-05       Impact factor: 5.157

Review 7.  The anti-apoptotic members of the Bcl-2 family are attractive tumor-associated antigens.

Authors:  Per thor Straten; Mads Hald Andersen
Journal:  Oncotarget       Date:  2010-08
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.