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Related Experiment Video

Updated: Jun 13, 2025

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
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Crucial Parameters for Immunopeptidome Characterization: A Systematic Evaluation.

Pablo Juanes-Velasco1,2,3, Carlota Arias-Hidalgo1,2,3, Marina L García-Vaquero1,2,3

  • 1Translational and Clinical Research Program, Cancer Research Center (IBMCC, CSIC-University of Salamanca), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca (Universidad de Salamanca), 37008 Salamanca, Spain.

International Journal of Molecular Sciences
|September 14, 2024
PubMed
Summary

A new Immunopeptidome Score enhances the study of peptides within human leukocyte antigen (HLA) molecules. This score improves the reproducibility of immunopeptidomics workflows, aiding biomarker and therapeutic target discovery in oncology and infectious diseases.

Keywords:
HLALC-MS/MSMHCimmunopeptidomeimmunopeptidomics

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Area of Science:

  • Immunopeptidomics, focusing on peptides presented by Major Histocompatibility Complex (MHC) and human leukocyte antigen (HLA) molecules.
  • Utilizes high-sensitivity mass spectrometry for detailed immunopeptidome identification and quantification.

Background:

  • Immunopeptidomics is crucial for understanding immune responses, impacting oncology, infectious diseases, and autoimmune disorders.
  • Current workflows involve isolating HLA molecules from cells/tissues, with critical steps like cell lysis and immunoenrichment affecting outcomes.

Purpose of the Study:

  • To systematically evaluate critical steps in immunopeptidomics workflows.
  • To develop a metric, the 'Immunopeptidome Score', to enhance workflow reproducibility and robustness.
  • To optimize immunopeptidome characterization for identifying potential biomarkers and therapeutic targets.

Main Methods:

  • Development of the 'Immunopeptidome Score' based on LC-MS/MS datasets (ProteomeXchange identifier PXD038165) and public databases.
  • Systematic analysis of protein extraction, HLA immunoprecipitation, and peptide recovery yields.
  • Application of the score across various tumor cell lines.

Main Results:

  • The 'Immunopeptidome Score' provides a quantitative measure to assess and improve immunopeptidomics workflows.
  • Systematic evaluation identified key factors influencing peptide recovery and HLA enrichment.
  • Optimized workflows enabled the selection of peptides with desirable features for biomarker and therapeutic target identification.

Conclusions:

  • The 'Immunopeptidome Score' is a valuable tool for standardizing and enhancing immunopeptidomics research.
  • This approach facilitates the discovery of novel biomarkers and therapeutic targets in immune-related diseases.
  • Improved workflow robustness leads to more reliable identification of disease-associated peptides.