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Updated: Dec 27, 2025

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
Published on: October 15, 2021
Mass Spectrometry-Based Identification of MHC-Associated Peptides
Sachin Kote, Artur Pirog, Georges Bedran1
1International Centre for Cancer Vaccine Science, University of Gdansk, 80-308 Gdansk, Poland.
Abstract:
Neoantigen-based immunotherapies promise to improve patient outcomes over the current standard of care. However, detecting these cancer-specific antigens is one of the significant challenges in the field of mass spectrometry. Even though the first sequencing of the immunopeptides was done decades ago, today there is still a diversity of the protocols used for neoantigen isolation from the cell surface. This heterogeneity makes it difficult to compare results between the laboratories and the studies. Isolation of the neoantigens from the cell surface is usually done by mild acid elution (MAE) or immunoprecipitation (IP) protocol. However, limited amounts of the neoantigens present on the cell surface impose a challenge and require instrumentation with enough sensitivity and accuracy for their detection. Detecting these neopeptides from small amounts of available patient tissue limits the scope of most of the studies to cell cultures. Here, we summarize protocols for the extraction and identification of the major histocompatibility complex (MHC) class I and II peptides. We aimed to evaluate existing methods in terms of the appropriateness of the isolation procedure, as well as instrumental parameters used for neoantigen detection. We also focus on the amount of the material used in the protocols as the critical factor to consider when analyzing neoantigens. Beyond experimental aspects, there are numerous readily available proteomics suits/tools applicable for neoantigen discovery; however, experimental validation is still necessary for neoantigen characterization.
Insights
Neoantigen detection for cancer immunotherapies faces challenges due to diverse isolation protocols and limited sample amounts. This study evaluates methods for extracting and identifying major histocompatibility complex (MHC) peptides to improve neoantigen discovery.
Area of Science:
- Immunology
- Proteomics
- Mass Spectrometry
Background:
- Neoantigen-based immunotherapies offer improved patient outcomes but rely on accurate cancer-specific antigen detection.
- Current mass spectrometry-based neoantigen detection is hindered by diverse and heterogeneous isolation protocols.
- Limited neoantigen quantities on cell surfaces necessitate highly sensitive detection methods.
Purpose of the Study:
- To summarize and evaluate existing protocols for the extraction and identification of major histocompatibility complex (MHC) class I and II peptides.
- To assess the appropriateness of isolation procedures and instrumental parameters for neoantigen detection.
- To highlight the critical role of starting material quantity in neoantigen analysis.
Main Methods:
- Review and comparison of mild acid elution (MAE) and immunoprecipitation (IP) protocols for neoantigen isolation.
- Evaluation of instrumental sensitivity and accuracy requirements for detecting low-abundance neoantigens.
- Analysis of available proteomics tools for neoantigen discovery and the necessity of experimental validation.
Main Results:
- Protocol heterogeneity complicates inter-laboratory and inter-study comparisons of neoantigen data.
- Low neoantigen abundance often restricts studies to cell cultures due to tissue limitations.
- While computational tools aid discovery, experimental validation remains essential for neoantigen characterization.
Conclusions:
- Standardizing neoantigen isolation protocols is crucial for reliable and comparable results in cancer immunotherapy research.
- Advancements in instrumentation sensitivity are vital for detecting scarce neoantigens from patient samples.
- A comprehensive approach combining optimized experimental methods and computational analysis is needed for effective neoantigen discovery and validation.
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