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Multimodal Single-Cell Datasets Characterize Antigen-Specific CD8+ T Cells Across SARS-CoV-2 Vaccination and Infection.

Nature Immunology(2023)SCI 1区

New York Genome Center | Department of Cell Biology | Department of Medicine

Cited 6|Views12
Abstract
The immune response to SARS-CoV-2 antigen after infection or vaccination is defined by the durable production of antibodies and T cells. Population-based monitoring typically focuses on antibody titer, but there is a need for improved characterization and quantification of T cell responses. Here, we used multimodal sequencing technologies to perform a longitudinal analysis of circulating human leukocytes collected before and after immunization with the mRNA vaccine BNT162b2. Our data indicated distinct subpopulations of CD8+ T cells, which reliably appeared 28 days after prime vaccination. Using a suite of cross-modality integration tools, we defined their transcriptome, accessible chromatin landscape and immunophenotype, and we identified unique biomarkers within each modality. We further showed that this vaccine-induced population was SARS-CoV-2 antigen-specific and capable of rapid clonal expansion. Moreover, we identified these CD8+ T cell populations in scRNA-seq datasets from COVID-19 patients and found that their relative frequency and differentiation outcomes were predictive of subsequent clinical outcomes.
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Immunology,Next-generation sequencing,Biomedicine,general,Infectious Diseases
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要点】:本研究利用多模态单细胞测序技术分析SARS-CoV-2疫苗接种和感染后抗原特异性CD8+ T细胞特征,识别出与临床结果相关的独特生物标志物。

方法】:通过多模态测序技术对mRNA疫苗BNT162b2接种前后的循环人类白细胞进行纵向分析,并结合跨模态整合工具对T细胞亚群的转录组、可访问染色质景观和免疫表型进行研究。

实验】:研究者在接种后28天检测到明显的CD8+ T细胞亚群,并在COVID-19患者的单细胞RNA测序(scRNA-seq)数据集中识别出这些细胞,使用的数据集未在摘要中明确提及,实验结果显示这些亚群的相对频率和分化结局与后续临床结果有关联。