%0 Journal Article
%A Gemünd, Ioanna
%A Bonaguro, Lorenzo
%A Becker, Matthias
%A Müller, Sophie
%A Joos, Clemens
%A De Domenico, Elena
%A Aschenbrenner, Anna C
%A Schultze, Joachim L
%A Moosmann, Andreas
%A Beyer, Marc D
%T Characterization of human CMV-specific CD8+ T cells using multi-layer single-cell omics.
%J Cell reports / Methods
%V 5
%N 7
%@ 2667-2375
%C Cambridge, MA
%I Cell Press
%M DZNE-2025-00891
%P 101085
%D 2025
%X In this study, we established a comprehensive workflow to collect multi-omics single-cell data using a commercially available micro-well-based platform. This included whole transcriptome, cell surface markers (targeted sequencing-based cell surface proteomics), T cell specificities, adaptive immune receptor repertoire (AIRR) profiles, and sample multiplexing. With this technique, we identified paired T cell receptor sequences for three prominent human CMV epitopes. In addition, we assessed the ability of dCODE dextramers to detect antigen-specific T cells at low frequencies by estimating sensitivities and specificities when used as reagents for single-cell multi-omics.
%K Humans
%K Cytomegalovirus: immunology
%K Single-Cell Analysis: methods
%K CD8-Positive T-Lymphocytes: immunology
%K CD8-Positive T-Lymphocytes: metabolism
%K Proteomics: methods
%K Transcriptome
%K Receptors, Antigen, T-Cell: metabolism
%K Cytomegalovirus Infections: immunology
%K BD Rhapsody (Other)
%K CD8(+) T cells (Other)
%K CMV (Other)
%K CP: immunology (Other)
%K TCR sequencing (Other)
%K antigen-specific T cells (Other)
%K dCODE dextramers (Other)
%K single-cell multi-omics (Other)
%K systems immunology (Other)
%K Receptors, Antigen, T-Cell (NLM Chemicals)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40555232
%R 10.1016/j.crmeth.2025.101085
%U https://pub.dzne.de/record/280054