@article{bf4667954f464d21a5370b89a0f5bbc7,
title = "SAPrIm, a semi-automated protocol for mid-throughput immunopeptidomics",
abstract = "Human leukocyte antigen (HLA) molecules play a crucial role in directing adaptive immune responses based on the nature of their peptide ligands, collectively coined the immunopeptidome. As such, the study of HLA molecules has been of major interest in the development of cancer immunotherapies such as vaccines and T-cell therapies. Hence, a comprehensive understanding and profiling of the immunopeptidome is required to foster the growth of these personalised solutions. We herein describe SAPrIm, an Immunopeptidomics tool for the Mid-Throughput era. This is a semi-automated workflow involving the KingFisher platform to isolate immunopeptidomes using anti-HLA antibodies coupled to a hyper-porous magnetic protein A microbead, a variable window data independent acquisition (DIA) method and the ability to run up to 12 samples in parallel. Using this workflow, we were able to concordantly identify and quantify ~400 - 13000 unique peptides from 5e5 - 5e7 cells, respectively. Overall, we propose that the application of this workflow will be crucial for the future of immunopeptidome profiling, especially for mid-size cohorts and comparative immunopeptidomics studies.",
keywords = "cancer antigen, DIA, HLA-bound peptides, human leukocyte antigen, immunopeptidomics",
author = "{Lim Kam Sian}, {Terry C.C.} and Gabriel Goncalves and Steele, {Joel R.} and Tima Shamekhi and Liesl Bramberger and Dongbin Jin and Mohammad Shahbazy and Purcell, {Anthony W.} and Sri Ramarathinam and Stoyan Stoychev and Pouya Faridi",
note = "Funding Information: Monash Proteomics and Metabolomics Platform (MPMP) for expertise in sample preparation and mass spectrometry method development. Computational resources were supported by the R@CMon/Monash Node of the NeCTAR Research Cloud, an initiative of the Australian Government{\textquoteright}s Super Science Scheme and the Education Investment Fund. Figures were generated using a combination of Biorender and Adobe Illustrator. Figures were generated using a combination of Biorender and Adobe Illustrator. Funding Information: PF was supported by the Victorian Department of Health and Human Services acting through the Victorian Cancer Agency. This project was supported by grant 2001870 awarded through the 2020 Priority-driven Collaborative Cancer Research Scheme and co-funded by Cancer Australia and the Australian Lions Childhood Cancer Research Foundation and My Room Children{\textquoteright}s Cancer Charity Ltd. Acknowledgments Publisher Copyright: Copyright {\textcopyright} 2023 Lim Kam Sian, Goncalves, Steele, Shamekhi, Bramberger, Jin, Shahbazy, Purcell, Ramarathinam, Stoychev and Faridi.",
year = "2023",
month = jun,
day = "2",
doi = "10.3389/fimmu.2023.1107576",
language = "English",
volume = "14",
journal = "Frontiers in Immunology",
issn = "1664-3224",
publisher = "Frontiers Media SA",
}