表征(材料科学)
细胞
计算生物学
图层(电子)
生物
细胞生物学
计算机科学
病毒学
纳米技术
材料科学
生物化学
作者
Ioanna D. Gemünd,Lorenzo Bonaguro,Matthias Becker,Sophie Müller,Clemens Joos,Elena De Domenico,Anna C. Aschenbrenner,Joachim L. Schultze,Andreas Moosmann,Marc Beyer
标识
DOI:10.1016/j.crmeth.2025.101085
摘要
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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