利用多层单细胞组学对人巨细胞病毒特异性CD8 T细胞进行表征。
Characterization of human CMV-specific CD8 T cells using multi-layer single-cell omics.
作者信息
Gemünd Ioanna, Bonaguro Lorenzo, Becker Matthias, Müller Sophie, Joos Clemens, De Domenico Elena, Aschenbrenner Anna C, Schultze Joachim L, Moosmann Andreas, Beyer Marc D
机构信息
Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Genomics and Immunoregulation, Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, VIC, Australia; Institute of Virology, Technical University of Munich School of Medicine/Helmholtz Munich, Munich, Germany.
Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, and University of Bonn and West German Genome Center, Bonn, Germany.
出版信息
Cell Rep Methods. 2025 Jul 21;5(7):101085. doi: 10.1016/j.crmeth.2025.101085. Epub 2025 Jun 23.
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.
在本研究中，我们建立了一个综合工作流程，使用基于商用微孔的平台收集多组学单细胞数据。这包括全转录组、细胞表面标志物（基于靶向测序的细胞表面蛋白质组学）、T细胞特异性、适应性免疫受体库（AIRR）图谱以及样本多路复用。利用这项技术，我们鉴定出了针对三个突出的人类巨细胞病毒表位的配对T细胞受体序列。此外，我们通过估计作为单细胞多组学试剂使用时的灵敏度和特异性，评估了dCODE右旋糖酐聚合物检测低频抗原特异性T细胞的能力。
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