Zambrano Samuel, Bianchi Marco E, Agresti Alessandra
San Raffaele University, Milan, Italy.
San Raffaele University, Milan, Italy; San Raffaele Scientific Institute, Genetics and Cell Biology Division, Milan, Italy.
PLoS One. 2014 Mar 4;9(3):e90104. doi: 10.1371/journal.pone.0090104. eCollection 2014.
NF-κB is a transcription factor that upon activation undergoes cycles of cytoplasmic-to-nuclear and nuclear-to-cytoplasmic transport, giving rise to so called "oscillations". In turn, oscillations tune the transcriptional output. Since a detailed understanding of oscillations requires a systems biology approach, we developed a method to acquire and analyze large volumes of data on NF-κB dynamics in single cells. We measured the time evolution of the nuclear to total ratio of GFP-p65 in knock-in mouse embryonic fibroblasts using time-lapse imaging. We automatically produced a precise segmentation of nucleus and cytoplasm based on an accurate estimation of the signal and image background. Finally, we defined a set of quantifiers that describe the oscillatory dynamics, which are internally normalized and can be used to compare data recorded by different labs. Using our method, we analyzed NF-κB dynamics in over 2000 cells exposed to different concentrations of TNF- α α. We reproduced known features of the NF-κB system, such as the heterogeneity of the response in the cell population upon stimulation and we confirmed that a fraction of the responding cells does not oscillate. We also unveiled important features: the second and third oscillatory peaks were often comparable to the first one, a basal amount of nuclear NF-κB could be detected in unstimulated cells, and at any time a small fraction of unstimulated cells showed spontaneous random activation of the NF-κB system. Our work lays the ground for systematic, high-throughput, and unbiased analysis of the dynamics of transcription factors that can shuttle between the nucleus and other cell compartments.
核因子κB是一种转录因子,激活后会经历胞质到核以及核到胞质的运输循环,从而产生所谓的“振荡”。反过来,振荡会调节转录输出。由于对振荡的详细理解需要系统生物学方法,我们开发了一种方法来获取和分析单细胞中核因子κB动力学的大量数据。我们使用延时成像测量了基因敲入小鼠胚胎成纤维细胞中绿色荧光蛋白-p65的核与总比值随时间的变化。我们基于对信号和图像背景的准确估计,自动对细胞核和细胞质进行了精确分割。最后,我们定义了一组描述振荡动力学的量化指标,这些指标经过内部归一化处理,可用于比较不同实验室记录的数据。使用我们的方法,我们分析了2000多个暴露于不同浓度肿瘤坏死因子-α的细胞中的核因子κB动力学。我们重现了核因子κB系统的已知特征,例如刺激后细胞群体反应的异质性,并且我们证实了一部分反应细胞不会振荡。我们还揭示了重要特征:第二和第三个振荡峰值通常与第一个相当,在未刺激的细胞中可以检测到一定量的核内源性核因子κB,并且在任何时候一小部分未刺激的细胞会出现核因子κB系统的自发随机激活。我们的工作为系统、高通量且无偏地分析可在细胞核和其他细胞区室之间穿梭的转录因子动力学奠定了基础。