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Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch

机译:用合成切换开关控制浓度梯度的时空图案形成

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The formation of spatiotemporal patterns of gene expression is frequently guided by gradients of diffusible signaling molecules. The toggle switch subnetwork, composed of two cross‐repressing transcription factors, is a common component of gene regulatory networks in charge of patterning, converting the continuous information provided by the gradient into discrete abutting stripes of gene expression. We present a synthetic biology framework to understand and characterize the spatiotemporal patterning properties of the toggle switch. To this end, we built a synthetic toggle switch controllable by diffusible molecules in Escherichia coli. We analyzed the patterning capabilities of the circuit by combining quantitative measurements with a mathematical reconstruction of the underlying dynamical system. The toggle switch can produce robust patterns with sharp boundaries, governed by bistability and hysteresis. We further demonstrate how the hysteresis, position, timing, and precision of the boundary can be controlled, highlighting the dynamical flexibility of the circuit. Synopsis Toggle switch is a common subnetwork of gene regulatory networks in charge of pattern formation. This study combines a synthetic biology framework and mathematical modeling to characterize the spatiotemporal properties of toggle switch in Escherichia coli. A synthetic toggle switch network in E.?coli interprets a signal concentration gradient into bistable and hysteretic spatial patterns. Combining quantitative measurements with a mathematical model allows reconstructing the underlying bifurcation diagram. Modulating the repression strength of the mutual repressing nodes allows to control the hysteresis, position, timing, and precision of the pattern boundary.
机译:通过扩散信号分子的梯度,经常引导瞬间基因表达的形成。由两个交叉抑制转录因子组成的拨动开关子网络是基因调节网络的常见组成部分,其负责图案化,将梯度提供的连续信息转换成基因表达的离散邻接条纹。我们提出了一种合成生物学框架来理解和表征拨动开关的时空图案化性能。为此,我们建立了由大肠杆菌中可通过扩散分子控制的合成切换开关。通过将定量测量与底层动态系统的数学重建相结合来分析了电路的图案化能力。 Toggle开关可以产生具有尖锐边界的强大模式,由双稳态和滞后管辖。我们进一步证明了如何控制边界的滞后,位置,定时和精度,突出显示电路的动态灵活性。 Sypopsis Toggle Switch是基因监管网络的共同子网,负责模式形成。本研究结合了合成生物学框架和数学建模,以表征大肠杆菌拨动开关的时空性质。 E.?COLI中的合成切换交换网络将信号浓度梯度解释为双稳态和滞后空间模式。将定量测量与数学模型组合允许重建底层分叉图。调制互压低节点的抑制强度允许控制模式边界的滞后,位置,定时和精度。

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