Home > Publications Database > Characterization of human CMV-specific CD8+ T cells using multi-layer single-cell omics. > print |
001 | 280054 | ||
005 | 20250824001734.0 | ||
024 | 7 | _ | |a 10.1016/j.crmeth.2025.101085 |2 doi |
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041 | _ | _ | |a English |
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100 | 1 | _ | |a Gemünd, Ioanna |0 P:(DE-2719)2812074 |b 0 |e First author |u dzne |
245 | _ | _ | |a Characterization of human CMV-specific CD8+ T cells using multi-layer single-cell omics. |
260 | _ | _ | |a Cambridge, MA |c 2025 |b Cell Press |
336 | 7 | _ | |a article |2 DRIVER |
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336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1753363755_4855 |2 PUB:(DE-HGF) |
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520 | _ | _ | |a 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. |
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650 | _ | 7 | |a BD Rhapsody |2 Other |
650 | _ | 7 | |a CD8(+) T cells |2 Other |
650 | _ | 7 | |a CMV |2 Other |
650 | _ | 7 | |a CP: immunology |2 Other |
650 | _ | 7 | |a TCR sequencing |2 Other |
650 | _ | 7 | |a antigen-specific T cells |2 Other |
650 | _ | 7 | |a dCODE dextramers |2 Other |
650 | _ | 7 | |a single-cell multi-omics |2 Other |
650 | _ | 7 | |a systems immunology |2 Other |
650 | _ | 7 | |a Receptors, Antigen, T-Cell |2 NLM Chemicals |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Cytomegalovirus: immunology |2 MeSH |
650 | _ | 2 | |a Single-Cell Analysis: methods |2 MeSH |
650 | _ | 2 | |a CD8-Positive T-Lymphocytes: immunology |2 MeSH |
650 | _ | 2 | |a CD8-Positive T-Lymphocytes: metabolism |2 MeSH |
650 | _ | 2 | |a Proteomics: methods |2 MeSH |
650 | _ | 2 | |a Transcriptome |2 MeSH |
650 | _ | 2 | |a Receptors, Antigen, T-Cell: metabolism |2 MeSH |
650 | _ | 2 | |a Cytomegalovirus Infections: immunology |2 MeSH |
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700 | 1 | _ | |a Bonaguro, Lorenzo |0 P:(DE-2719)9001512 |b 1 |u dzne |
700 | 1 | _ | |a Becker, Matthias |0 P:(DE-2719)2812750 |b 2 |u dzne |
700 | 1 | _ | |a Müller, Sophie |0 P:(DE-2719)9001774 |b 3 |u dzne |
700 | 1 | _ | |a Joos, Clemens |0 P:(DE-HGF)0 |b 4 |
700 | 1 | _ | |a De Domenico, Elena |0 P:(DE-2719)9000846 |b 5 |u dzne |
700 | 1 | _ | |a Aschenbrenner, Anna C |0 P:(DE-2719)2812913 |b 6 |u dzne |
700 | 1 | _ | |a Schultze, Joachim L |0 P:(DE-2719)2811660 |b 7 |u dzne |
700 | 1 | _ | |a Moosmann, Andreas |0 P:(DE-HGF)0 |b 8 |
700 | 1 | _ | |a Beyer, Marc D |0 P:(DE-2719)2812219 |b 9 |e Last author |u dzne |
773 | _ | _ | |a 10.1016/j.crmeth.2025.101085 |g Vol. 5, no. 7, p. 101085 - |0 PERI:(DE-600)3091714-1 |n 7 |p 101085 |t Cell reports / Methods |v 5 |y 2025 |x 2667-2375 |
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