Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Department of Cellular and Molecular Medicine, UCSD Stem Cell and Bioinformatics Programs, and Institute for Genomic Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Nat Immunol. 2014 Apr;15(4):365-372. doi: 10.1038/ni.2842. Epub 2014 Mar 2.
T lymphocytes responding to microbial infection give rise to effector cells that mediate acute host defense and memory cells that provide long-lived immunity, but the fundamental question of when and how these cells arise remains unresolved. Here we combined single-cell gene-expression analyses with 'machine-learning' approaches to trace the transcriptional 'roadmap' of individual CD8(+) T lymphocytes throughout the course of an immune response in vivo. Gene-expression signatures predictive of eventual fates could be discerned as early as the first T lymphocyte division and may have been influenced by asymmetric partitioning of the receptor for interleukin 2 (IL-2Rα) during mitosis. Our findings emphasize the importance of single-cell analyses in understanding fate determination and provide new insights into the specification of divergent lymphocyte fates early during an immune response to microbial infection.
T 淋巴细胞对微生物感染的反应产生效应细胞,介导急性宿主防御,产生记忆细胞,提供长期免疫,但这些细胞何时以及如何产生的基本问题仍未解决。在这里,我们将单细胞基因表达分析与“机器学习”方法相结合,追踪体内免疫反应过程中单个 CD8(+) T 淋巴细胞的转录“路线图”。早在第一次 T 淋巴细胞分裂时,就可以辨别出预测最终命运的基因表达特征,并且这种特征可能受到有丝分裂过程中白细胞介素 2(IL-2Rα)受体不对称分配的影响。我们的研究结果强调了单细胞分析在理解命运决定中的重要性,并为理解微生物感染免疫反应早期不同淋巴细胞命运的决定提供了新的见解。
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