Bae Seul-A, Acevedo Alison, Androulakis Ioannis P
Chemical and Biochemical Engineering Department, Rutgers University, Piscataway, New Jersey.
Biomedical Engineering Department, Rutgers University, Piscataway, New Jersey.
Crit Rev Biomed Eng. 2016;44(3):193-211. doi: 10.1615/CritRevBiomedEng.2017019658.
Oscillations are an important feature of cellular signaling that result from complex combinations of positive- and negative-feedback loops. The encoding and decoding mechanisms of oscillations based on amplitude and frequency have been extensively discussed in the literature in the context of intercellular and intracellular signaling. However, the fundamental questions of whether and how oscillatory signals offer any competitive advantages-and, if so, what-have not been fully answered. We investigated established oscillatory mechanisms and designed a study to analyze the oscillatory characteristics of signaling molecules and system output in an effort to answer these questions. Two classic oscillators, Goodwin and PER, were selected as the model systems, and corresponding no-feedback models were created for each oscillator to discover the advantage of oscillating signals. Through simulating the original oscillators and the matching no-feedback models, we show that oscillating systems have the capability to achieve better resource-to-output efficiency, and we identify oscillatory characteristics that lead to improved efficiency.
振荡是细胞信号传导的一个重要特征，它由正反馈和负反馈回路的复杂组合产生。基于振幅和频率的振荡编码和解码机制在细胞间和细胞内信号传导的背景下已在文献中得到广泛讨论。然而，振荡信号是否以及如何提供任何竞争优势——如果是，是什么——这些基本问题尚未得到充分解答。我们研究了已有的振荡机制，并设计了一项研究来分析信号分子的振荡特性和系统输出，以努力回答这些问题。选择了两个经典振荡器，古德温振荡器和周期蛋白振荡器，作为模型系统，并为每个振荡器创建了相应的无反馈模型，以发现振荡信号的优势。通过模拟原始振荡器和匹配的无反馈模型，我们表明振荡系统有能力实现更好的资源到输出效率，并且我们确定了导致效率提高的振荡特性。
