In silico single-cell metabolism analysis unravels a new transition stage of CD8 T cells 4 days post-infection

Christophe Arpin , Franck Picard , Olivier Gandrillon
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Abstract

CD8 T cell proper differentiation during antiviral responses relies on metabolic adaptations. Herein, we investigated global metabolic activity in single CD8 T cells along an in vivo response by estimating metabolic fluxes from single-cell RNA-sequencing data. The approach was validated by the observation of metabolic variations known from experimental studies on global cell populations, while adding temporally detailed information and unravelling yet undescribed sections of CD8 T cell metabolism that are affected by cellular differentiation. Furthermore, inter-cellular variability in gene expression level, highlighted by single cell data, and heterogeneity of metabolic activity 4 days post-infection, revealed a new transition stage accompanied by a metabolic switch in activated cells differentiating into full-blown effectors.

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硅学单细胞代谢分析揭示了感染后 4 天 CD8 T 细胞的新过渡阶段
抗病毒反应过程中 CD8 T 细胞的适当分化依赖于代谢适应。在这里,我们通过单细胞 RNA 序列数据估算代谢通量,研究了单个 CD8 T 细胞在体内应答过程中的全局代谢活动。这种方法通过观察全球细胞群实验研究中已知的代谢变化得到了验证,同时增加了时间上的详细信息,并揭示了 CD8 T 细胞代谢中尚未描述的受细胞分化影响的部分。此外,单细胞数据突出显示了细胞间基因表达水平的差异,以及感染后 4 天代谢活动的异质性,揭示了一个新的过渡阶段,伴随着活化细胞分化为全面效应细胞的代谢转换。
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来源期刊
Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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