Literature DB >> 30080115

Employing proteomics in the study of antigen presentation: an update.

Sri H Ramarathinam1, Nathan P Croft1, Patricia T Illing1, Pouya Faridi1, Anthony W Purcell1.   

Abstract

INTRODUCTION: Our immune system discriminates self from non-self by examining the peptide cargo of human leukocyte antigen (HLA) molecules displayed on the cell surface. Successful recognition of HLA-bound non-self peptides can induce T cell responses leading to, for example, the destruction of infected cells. Today, largely due to advances in technology, we have an unprecedented capability to identify the nature of these presented peptides and unravel the true complexity of antigen presentation. Areas covered: In addition to conventional linear peptides, HLA molecules also present post-translationally modified sequences comprising a wealth of chemical and structural modifications, including a novel class of noncontiguous spliced peptides. This review focuses on these emerging themes in antigen presentation and how mass spectrometry in particular has contributed to a new view of the antigenic landscape that is presented to the immune system. Expert Commentary: Advances in the sensitivity of mass spectrometers and use of hybrid fragmentation technologies will provide more information-rich spectra of HLA bound peptides leading to more definitive identification of T cell epitopes. Coupled with improvements in sample preparation and new informatics workflows, studies will access novel classes of peptide antigen and allow interrogation of rare and clinically relevant samples.

Entities:  

Keywords:  PTM; antigen presentation; immunopeptidomics

Mesh:

Substances:

Year:  2018        PMID: 30080115     DOI: 10.1080/14789450.2018.1509000

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  6 in total

1.  A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction.

Authors:  Shutao Mei; Fuyi Li; André Leier; Tatiana T Marquez-Lago; Kailin Giam; Nathan P Croft; Tatsuya Akutsu; A Ian Smith; Jian Li; Jamie Rossjohn; Anthony W Purcell; Jiangning Song
Journal:  Brief Bioinform       Date:  2020-07-15       Impact factor: 11.622

2.  The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

Authors:  Juan Antonio Vizcaíno; Peter Kubiniok; Kevin A Kovalchik; Qing Ma; Jérôme D Duquette; Ian Mongrain; Eric W Deutsch; Bjoern Peters; Alessandro Sette; Isabelle Sirois; Etienne Caron
Journal:  Mol Cell Proteomics       Date:  2019-11-19       Impact factor: 5.911

3.  Post-translational modifications reshape the antigenic landscape of the MHC I immunopeptidome in tumors.

Authors:  Assaf Kacen; Aaron Javitt; Matthias P Kramer; David Morgenstern; Tomer Tsaban; Merav D Shmueli; Guo Ci Teo; Felipe da Veiga Leprevost; Eilon Barnea; Fengchao Yu; Arie Admon; Lea Eisenbach; Yardena Samuels; Ora Schueler-Furman; Yishai Levin; Alexey I Nesvizhskii; Yifat Merbl
Journal:  Nat Biotechnol       Date:  2022-10-06       Impact factor: 68.164

4.  Unbiased Characterization of Peptide-HLA Class II Interactions Based on Large-Scale Peptide Microarrays; Assessment of the Impact on HLA Class II Ligand and Epitope Prediction.

Authors:  Mareike Wendorff; Heli M Garcia Alvarez; Thomas Østerbye; Hesham ElAbd; Elisa Rosati; Frauke Degenhardt; Søren Buus; Andre Franke; Morten Nielsen
Journal:  Front Immunol       Date:  2020-08-05       Impact factor: 7.561

5.  The Evolving Landscape of Autoantigen Discovery and Characterization in Type 1 Diabetes.

Authors:  Anthony W Purcell; Salvatore Sechi; Teresa P DiLorenzo
Journal:  Diabetes       Date:  2019-05       Impact factor: 9.461

6.  Neoepitopes in Type 1 Diabetes: Etiological Insights, Biomarkers and Therapeutic Targets.

Authors:  Teresa Rodriguez-Calvo; James D Johnson; Lut Overbergh; Jessica L Dunne
Journal:  Front Immunol       Date:  2021-04-19       Impact factor: 7.561

  6 in total

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