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A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics

Mass spectrometry (MS)-based immunopeptidomics is an attractive antigen discovery method with growing clinical implications. However, the current experimental approach to extract HLA-restricted peptides requires a bulky sample source, which remains a challenge for obtaining clinical specimens. We pr...

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Autores principales: Li, Xiaokang, Pak, Hui Song, Huber, Florian, Michaux, Justine, Taillandier-Coindard, Marie, Altimiras, Emma Ricart, Bassani-Sternberg, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326370/
https://www.ncbi.nlm.nih.gov/pubmed/37426762
http://dx.doi.org/10.1016/j.crmeth.2023.100479
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author Li, Xiaokang
Pak, Hui Song
Huber, Florian
Michaux, Justine
Taillandier-Coindard, Marie
Altimiras, Emma Ricart
Bassani-Sternberg, Michal
author_facet Li, Xiaokang
Pak, Hui Song
Huber, Florian
Michaux, Justine
Taillandier-Coindard, Marie
Altimiras, Emma Ricart
Bassani-Sternberg, Michal
author_sort Li, Xiaokang
collection PubMed
description Mass spectrometry (MS)-based immunopeptidomics is an attractive antigen discovery method with growing clinical implications. However, the current experimental approach to extract HLA-restricted peptides requires a bulky sample source, which remains a challenge for obtaining clinical specimens. We present an innovative workflow that requires a low sample volume, which streamlines the immunoaffinity purification (IP) and C18 peptide cleanup on a single microfluidics platform with automated liquid handling and minimal sample transfers, resulting in higher assay sensitivity. We also demonstrate how the state-of-the-art data-independent acquisition (DIA) method further enhances the depth of tandem MS spectra-based peptide sequencing. Consequently, over 4,000 and 5,000 HLA-I-restricted peptides were identified from as few as 0.2 million RA957 cells and a melanoma tissue of merely 5 mg, respectively. We also identified multiple immunogenic tumor-associated antigens and hundreds of peptides derived from non-canonical protein sources. This workflow represents a powerful tool for identifying the immunopeptidome of sparse samples.
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spelling pubmed-103263702023-07-08 A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics Li, Xiaokang Pak, Hui Song Huber, Florian Michaux, Justine Taillandier-Coindard, Marie Altimiras, Emma Ricart Bassani-Sternberg, Michal Cell Rep Methods Article Mass spectrometry (MS)-based immunopeptidomics is an attractive antigen discovery method with growing clinical implications. However, the current experimental approach to extract HLA-restricted peptides requires a bulky sample source, which remains a challenge for obtaining clinical specimens. We present an innovative workflow that requires a low sample volume, which streamlines the immunoaffinity purification (IP) and C18 peptide cleanup on a single microfluidics platform with automated liquid handling and minimal sample transfers, resulting in higher assay sensitivity. We also demonstrate how the state-of-the-art data-independent acquisition (DIA) method further enhances the depth of tandem MS spectra-based peptide sequencing. Consequently, over 4,000 and 5,000 HLA-I-restricted peptides were identified from as few as 0.2 million RA957 cells and a melanoma tissue of merely 5 mg, respectively. We also identified multiple immunogenic tumor-associated antigens and hundreds of peptides derived from non-canonical protein sources. This workflow represents a powerful tool for identifying the immunopeptidome of sparse samples. Elsevier 2023-05-19 /pmc/articles/PMC10326370/ /pubmed/37426762 http://dx.doi.org/10.1016/j.crmeth.2023.100479 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Li, Xiaokang
Pak, Hui Song
Huber, Florian
Michaux, Justine
Taillandier-Coindard, Marie
Altimiras, Emma Ricart
Bassani-Sternberg, Michal
A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title_full A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title_fullStr A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title_full_unstemmed A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title_short A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics
title_sort microfluidics-enabled automated workflow of sample preparation for ms-based immunopeptidomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326370/
https://www.ncbi.nlm.nih.gov/pubmed/37426762
http://dx.doi.org/10.1016/j.crmeth.2023.100479
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