Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785069412901978112 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10326370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lixiaokang amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT pakhuisong amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT huberflorian amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT michauxjustine amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT taillandiercoindardmarie amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT altimirasemmaricart amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT bassanisternbergmichal amicrofluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT lixiaokang microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT pakhuisong microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT huberflorian microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT michauxjustine microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT taillandiercoindardmarie microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT altimirasemmaricart microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics AT bassanisternbergmichal microfluidicsenabledautomatedworkflowofsamplepreparationformsbasedimmunopeptidomics |