Noise, memory, and adaptation in the flagellum system in E.coli.

在此输入文本，它是您的应用程序的新摘要信息。此部分不得超过30行文本。 该项目的长期目标是识别和预测当细菌需要在营养有限的环境中生长时，高表达基因的基因调控网络(GRN)的活性。为了定量解决这个问题，我们将使用大肠杆菌中的鞭毛GRN作为模型系统。 虽然关于鞭毛GRN的了解很多，但我们的大多数信息来自于群体研究，这些研究掩盖了在不协调的单细胞内发生的调控动态。因此，该项目将利用众所周知的荧光显微镜技术和微流体的最新进展来监测不同环境条件下单细胞中鞭毛GRN的高分辨率生长和活性。我们围绕初步数据中最耐人寻味的一个方面组织了这项提议，该数据表明鞭毛GRN表现出脉动动力学。我们发现，在野生型细胞中，鞭毛基因的表达要么在几代人中处于关闭状态，要么在短得多的时间内处于开启状态。我们建议确定单个脉冲在单个细胞中的生长成本。这一目标将有助于我们确定如何调控鞭毛GRN活动的动态，以在营养有限的条件下优化细胞生长和大型细胞器的合成。 在这项提议完成后，我们目前关于营养限制条件下鞭毛合成的知识将得到显着提高，我们希望一些新确定的原理可以用于定量生物学，以优化在波动的营养贫乏环境中合成电路的设计。

Enter the text here that is the new abstract information for your application. This section must be no longer than 30 lines of text. The long-term goal of this project is to identify and predict the activity of gene regulatory networks (GRN) of highly expressed genes when bacteria need to grow in nutrient-limited environments. To quantitively tackle this problem, we will use as a model system the flagellum GRN in E. coli. While a lot is known about the flagellum GRN, most of our information comes from population studies that mask the regulatory dynamics taking place within uncoordinated single cells. Consequently, this project will make use of well-known fluorescence microscopy techniques and more recent advances in microfluidics to monitor at high-resolution growth and the activity of the flagellum GRN in single cells under different environmental conditions. We have organized this proposal around one of the most intriguing aspect of our preliminary data that demonstrates that the flagellum GRN exhibits pulsating dynamics. We found that the expression of flagellar genes in wild-type cells is either ‘off’ over several generations or is ‘on’ for a much shorter period of time. We propose to determine the growth cost of single pulses in individual cells. This aim will help us to identify how modulating the dynamics of the flagellum GRN activity can be a strategy to optimize both cellular growth and the synthesis of large organelles under nutrient limited conditions. At the completion of this proposal our current knowledge on the flagellum synthesis under nutrient limited conditions will be significantly advanced and we hope that some of the newly identified principles could be used in quantitative biology to optimize the designs of synthetic circuits in fluctuating nutrient-poor environments.