T cell transcriptional landscapes are shaped by TCR sequence similarity.

Hao Wang, Zhicheng Ji
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Abstract

T cells exhibit high heterogeneity in both their gene expression profiles and antigen specificities, but the precise relationship between these two features remains largely unknown. Utilizing a large-scale single-cell immune-profiling dataset that includes both T cell receptor (TCR) sequences and gene expression profiles of individual cells, we systematically investigated how the transcriptional profiles of T cells are linked to their TCR sequence similarity. We observed that T cells sharing the same clonotype often belong to the same cell type, and that gene expression similarity among T cells correlates with TCR sequence similarity. Furthermore, we identified features such as clonality, VJ gene usage, sequence motifs, and amino acid preferences that are distinctly associated with specific T cell subtypes. These findings suggest that T cell transcriptional landscapes are broadly shared and influenced by TCR sequence similarity.

T 细胞受体序列与 T 细胞中的基因表达水平相关,并可预测基因表达水平。
T 细胞在基因表达谱和抗原特异性方面都表现出高度的异质性。我们分析了 15 个单细胞免疫分析数据集,系统地研究了 T 细胞受体(TCR)序列与 T 细胞基因表达谱之间的关联。我们的研究结果表明,具有相同或相似 TCR 序列的 T 细胞往往具有高度相似的基因表达谱。此外,我们还建立了一个基础模型,利用 TCR 信息预测 T 细胞的基因表达水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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