Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.
Cell Syst. 2017 Apr 26;4(4):458-469.e5. doi: 10.1016/j.cels.2017.03.010. Epub 2017 Apr 5.
Signaling proteins display remarkable cell-to-cell heterogeneity in their dynamic responses to stimuli, but the consequences of this heterogeneity remain largely unknown. For instance, the contribution of the dynamics of the innate immune transcription factor nuclear factor κB (NF-κB) to gene expression output is disputed. Here we explore these questions by integrating live-cell imaging approaches with single-cell sequencing technologies. We used this approach to measure both the dynamics of lipopolysaccharide-induced NF-κB activation and the global transcriptional response in the same individual cell. Our results identify multiple, distinct cytokine expression patterns that are correlated with NF-κB activation dynamics, establishing a functional role for NF-κB dynamics in determining cellular phenotypes. Applications of this approach to other model systems and single-cell sequencing technologies have significant potential for discovery, as it is now possible to trace cellular behavior from the initial stimulus, through the signaling pathways, down to genome-wide changes in gene expression, all inside of a single cell.
信号蛋白在对刺激的动态响应中表现出显著的细胞间异质性,但这种异质性的后果在很大程度上仍然未知。例如,先天免疫转录因子核因子 κB(NF-κB)的动力学对基因表达输出的贡献存在争议。在这里,我们通过整合活细胞成像方法和单细胞测序技术来探索这些问题。我们使用这种方法来测量脂多糖诱导的 NF-κB 激活的动力学和同一单个细胞中的全局转录反应。我们的结果确定了与 NF-κB 激活动力学相关的多种不同的细胞因子表达模式,从而确立了 NF-κB 动力学在决定细胞表型中的功能作用。将这种方法应用于其他模型系统和单细胞测序技术具有重大的发现潜力,因为现在可以从单个细胞内的初始刺激开始,通过信号通路,一直追踪到基因表达的全基因组变化,来跟踪细胞行为。