A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.
Détails
Télécharger: 37426762_BIB_124E229FADE6.pdf (10384.31 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_124E229FADE6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A microfluidics-enabled automated workflow of sample preparation for MS-based immunopeptidomics.
Périodique
Cell reports methods
ISSN
2667-2375 (Electronic)
ISSN-L
2667-2375
Statut éditorial
Publié
Date de publication
26/06/2023
Peer-reviewed
Oui
Volume
3
Numéro
6
Pages
100479
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
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.
Mots-clé
Workflow, Microfluidics, Proteomics/methods, Tandem Mass Spectrometry, Peptides/chemistry, automation, data-independent acquisition, immunopeptidome, mass spectrometry, microfluidics, sample preparation
Pubmed
Web of science
Open Access
Oui
Création de la notice
13/07/2023 13:06
Dernière modification de la notice
25/01/2024 7:31