Literature DB >> 32758705

An input-controlled model system for identification of MHC bound peptides enabling laboratory comparisons of immunopeptidome experiments.

Martin G Klatt1, Zita E H Aretz2, Michael Curcio1, Ron S Gejman3, Heather F Jones4, David A Scheinberg5.   

Abstract

Characterization of MHC-bound peptides by mass spectrometry (MS) is an essential technique for immunologic studies. Many efforts have been made to quantify the number of MHC-presented ligands by MS and to define the limits of detection of a specific MHC ligand. However, these experiments are often complex and comparisons across different laboratories are challenging. Therefore, we compared and orthogonally validated quantitation of peptide:MHC complexes by radioimmunoassay and flow cytometry using TCR mimic antibodies in three model systems to establish a method to control the experimental input of peptide MHC:complexes for MS analysis. Following isolation of MHC-bound peptides we identified and quantified an MHC ligand of interest with high correlation to the initial input. We found that the diversity of the presented ligandome, as well as the peptide sequence itself affected the detection of the target peptide. Furthermore, results were applicable from these model systems to unmodified cell lines with a tight correlation between HLA-A*02 complex input and the number of identified HLA-A*02 ligands. Overall, this framework provides an easily accessible experimental setup that offers the opportunity to control the peptide:MHC input and in this way compare immunopeptidome experiments not only within but also between laboratories, independent of their experimental approach. SIGNIFICANCE: Although immunopeptidomics is an essential tool for the characterization of MHCbound peptides on the cell surface, there are no easily applicable established protocols available that allow comparison of immunopeptidome experiments across laboratories. Here, we demonstrate that controlling the peptide:MHC input for immunopurification and LC-MS/MS experiments by flow cytometry in pre-defined model systems allows the generation of qualitative and quantitative data that can easily be compared between investigators, independently of their methods for MHC ligand isolation for MS.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32758705      PMCID: PMC7484941          DOI: 10.1016/j.jprot.2020.103921

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  13 in total

Review 1.  Contribution of mass spectrometry-based proteomics to immunology.

Authors:  Nina Hillen; Stefan Stevanovic
Journal:  Expert Rev Proteomics       Date:  2006-12       Impact factor: 3.940

2.  Direct quantitation of MHC-bound peptide epitopes by selected reaction monitoring.

Authors:  Chor Teck Tan; Nathan P Croft; Nadine L Dudek; Nicholas A Williamson; Anthony W Purcell
Journal:  Proteomics       Date:  2011-05-20       Impact factor: 3.984

3.  Purification and Identification of Naturally Presented MHC Class I and II Ligands.

Authors:  Annika Nelde; Daniel J Kowalewski; Stefan Stevanović
Journal:  Methods Mol Biol       Date:  2019

4.  Accurate quantitation of MHC-bound peptides by application of isotopically labeled peptide MHC complexes.

Authors:  Chopie Hassan; Michel G D Kester; Gideon Oudgenoeg; Arnoud H de Ru; George M C Janssen; Jan W Drijfhout; Robbert M Spaapen; Connie R Jiménez; Mirjam H M Heemskerk; J H Frederik Falkenburg; Peter A van Veelen
Journal:  J Proteomics       Date:  2014-07-19       Impact factor: 4.044

Review 5.  Mass spectrometry-based antigen discovery for cancer immunotherapy.

Authors:  Michal Bassani-Sternberg; George Coukos
Journal:  Curr Opin Immunol       Date:  2016-05-04       Impact factor: 7.486

6.  Byonic: advanced peptide and protein identification software.

Authors:  Marshall Bern; Yong J Kil; Christopher Becker
Journal:  Curr Protoc Bioinformatics       Date:  2012-12

7.  Targeting the intracellular WT1 oncogene product with a therapeutic human antibody.

Authors:  Tao Dao; Su Yan; Nicholas Veomett; Dmitry Pankov; Liang Zhou; Tatyana Korontsvit; Andrew Scott; Joseph Whitten; Peter Maslak; Emily Casey; Taochao Tan; Hong Liu; Victoria Zakhaleva; Michael Curcio; Ekaterina Doubrovina; Richard J O'Reilly; Cheng Liu; David A Scheinberg
Journal:  Sci Transl Med       Date:  2013-03-13       Impact factor: 17.956

Review 8.  A novel category of antigens enabling CTL immunity to tumor escape variants: Cinderella antigens.

Authors:  Ursula J E Seidel; Claudia C Oliveira; Margit H Lampen; Thorbald van Hall
Journal:  Cancer Immunol Immunother       Date:  2011-11-25       Impact factor: 6.968

9.  Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry.

Authors:  Michal Bassani-Sternberg; Eva Bräunlein; Richard Klar; Thomas Engleitner; Pavel Sinitcyn; Stefan Audehm; Melanie Straub; Julia Weber; Julia Slotta-Huspenina; Katja Specht; Marc E Martignoni; Angelika Werner; Rüdiger Hein; Dirk H Busch; Christian Peschel; Roland Rad; Jürgen Cox; Matthias Mann; Angela M Krackhardt
Journal:  Nat Commun       Date:  2016-11-21       Impact factor: 14.919

Review 10.  Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.

Authors:  Etienne Caron; Daniel J Kowalewski; Ching Chiek Koh; Theo Sturm; Heiko Schuster; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2015-12       Impact factor: 5.911

View more
  1 in total

1.  Low-dose CDK4/6 inhibitors induce presentation of pathway specific MHC ligands as potential targets for cancer immunotherapy.

Authors:  Angel Charles; Christopher M Bourne; Tanya Korontsvit; Zita E H Aretz; Sung Soo Mun; Tao Dao; Martin G Klatt; David A Scheinberg
Journal:  Oncoimmunology       Date:  2021-05-24       Impact factor: 8.110

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.