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METHODS article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1546629

This article is part of the Research Topic Community Series in Methods in Cancer Immunity and Immunotherapy: Volume II View all 7 articles

SAPrIm 2.0: A semi-automated protocol for midthroughput soluble HLA immunopeptidomics

Provisionally accepted
  • 1 School of Clinical Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Melbourne, Australia
  • 2 Centre for Cancer Research, Hudson Institute of Medical Research, Clayton, Victoria, Australia
  • 3 Monash Proteomics and Metabolomics Facility, Monash University, Clayton, Victoria, Australia

The final, formatted version of the article will be published soon.

    Human leukocyte antigen (HLA) molecules are pivotal in guiding human adaptive immune responses through their presentation of peptide ligands, collectively known as the immunopeptidome. This process is central to the development of cancer immunotherapies, such as vaccines and T-cell therapies. Profiling the immunopeptidome from plasma and other biofluids has gained increasing traction, as it offers a minimally invasive approach for monitoring disease states and immune responses toward cancer therapy.Here we present the second iteration of SAPrIm, a refined immunopeptidomics tool optimized for soluble HLA analysis. It can process up to 12 samples per batch within a day. In this plasma-focused iteration, we identified approximately 1,200 to 4,000 immunopeptides from 100 µL to 1 mL of plasma, demonstrating high reproducibility across technical replicates, biological replicates, and inter-day analyses. This robust reproducibility highlights the method's strong potential for reliable relative quantification of immunopeptides in plasma-based studies. This workflow is positioned to advance the field of immunopeptidomics by enabling efficient plasma-based comparative analyses and mid-size cohort studies.

    Keywords: Soluble HLA, sHLA, HLA, MHC, immunopeptidomics, plasma immunopeptidomics, Mass Spectrometry, SAPrIm

    Received: 17 Dec 2024; Accepted: 02 Apr 2025.

    Copyright: © 2025 Tanuwidjaya, Lim, Steele, Goncalves, Woodhouse, Chang, Ooi, Schittenhelm and Faridi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Ralf B Schittenhelm, Monash Proteomics and Metabolomics Facility, Monash University, Clayton, 3800, Victoria, Australia
    Pouya Faridi, School of Clinical Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Melbourne, Australia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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