Kniss-James Ariel S, Rivet Catherine A, Chingozha Loice, Lu Hang, Kemp Melissa L
The Parker H. Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, 315 Ferst Dr NW, Atlanta, GA 30332-0363, USA.
Integr Biol (Camb). 2017 Mar 1;9(3):238-247. doi: 10.1039/c6ib00186f. Epub 2017 Feb 6.
Adaptive immune cells, such as T cells, integrate information from their extracellular environment through complex signaling networks with exquisite sensitivity in order to direct decisions on proliferation, apoptosis, and cytokine production. These signaling networks are reliant on the interplay between finely tuned secondary messengers, such as Ca and HO. Frequency response analysis, originally developed in control engineering, is a tool used for discerning complex networks. This analytical technique has been shown to be useful for understanding biological systems and facilitates identification of the dominant behaviour of the system. We probed intracellular Ca dynamics in the frequency domain to investigate the complex relationship between two second messenger signaling molecules, HO and Ca, during T cell activation with single cell resolution. Single-cell analysis provides a unique platform for interrogating and monitoring cellular processes of interest. We utilized a previously developed microfluidic device to monitor individual T cells through time while applying a dynamic input to reveal a natural frequency of the system at approximately 2.78 mHz stimulation. Although our network was much larger with more unknown connections than previous applications, we are able to derive features from our data, observe forced oscillations associated with specific amplitudes and frequencies of stimuli, and arrive at conclusions about potential transfer function fits as well as the underlying population dynamics.
适应性免疫细胞,如T细胞,通过复杂的信号网络以极高的灵敏度整合来自细胞外环境的信息,从而指导关于增殖、凋亡和细胞因子产生的决策。这些信号网络依赖于精细调节的二级信使(如Ca和HO)之间的相互作用。频率响应分析最初是在控制工程中开发的,是一种用于识别复杂网络的工具。这种分析技术已被证明有助于理解生物系统,并有助于识别系统的主导行为。我们在频域中探测细胞内Ca动态,以研究在T细胞激活过程中两个二级信使信号分子HO和Ca之间的复杂关系,分辨率达到单细胞水平。单细胞分析为询问和监测感兴趣的细胞过程提供了一个独特的平台。我们利用先前开发的微流控装置,在施加动态输入的同时随时间监测单个T细胞,以揭示系统在约2.78 mHz刺激下的固有频率。尽管我们的网络比以前的应用要大得多,连接也更多未知,但我们能够从数据中得出特征,观察与特定刺激幅度和频率相关的强迫振荡,并得出关于潜在传递函数拟合以及潜在群体动态的结论。