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构建合成四稳态基因网络以逼近瓦丁顿表观遗传景观和细胞命运决定

Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination.

作者信息

Wu Fuqing, Su Ri-Qi, Lai Ying-Cheng, Wang Xiao

机构信息

School of Biological and Health Systems Engineering, Arizona State University, Tempe, United States.

School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States.

出版信息

Elife. 2017 Apr 11;6:e23702. doi: 10.7554/eLife.23702.

Abstract

The process of cell fate determination has been depicted intuitively as cells travelling and resting on a rugged landscape, which has been probed by various theoretical studies. However, few studies have experimentally demonstrated how underlying gene regulatory networks shape the landscape and hence orchestrate cellular decision-making in the presence of both signal and noise. Here we tested different topologies and verified a synthetic gene circuit with mutual inhibition and auto-activations to be quadrastable, which enables direct study of quadruple cell fate determination on an engineered landscape. We show that cells indeed gravitate towards local minima and signal inductions dictate cell fates through modulating the shape of the multistable landscape. Experiments, guided by model predictions, reveal that sequential inductions generate distinct cell fates by changing landscape in sequence and hence navigating cells to different final states. This work provides a synthetic biology framework to approach cell fate determination and suggests a landscape-based explanation of fixed induction sequences for targeted differentiation.

摘要

细胞命运决定的过程一直被直观地描述为细胞在崎岖的景观上移动和停留,这已受到各种理论研究的探究。然而,很少有研究通过实验证明潜在的基因调控网络如何塑造这种景观,从而在存在信号和噪声的情况下协调细胞的决策。在这里,我们测试了不同的拓扑结构,并验证了一个具有相互抑制和自激活的合成基因电路是四稳态的,这使得能够在工程化景观上直接研究四重细胞命运决定。我们表明,细胞确实倾向于局部最小值,信号诱导通过调节多稳态景观的形状来决定细胞命运。在模型预测的指导下进行的实验表明,连续诱导通过依次改变景观从而引导细胞进入不同的最终状态,产生不同的细胞命运。这项工作提供了一个用于研究细胞命运决定的合成生物学框架,并提出了一种基于景观的对靶向分化固定诱导序列的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b597/5388541/f8fd87d4bbf7/elife-23702-fig1.jpg

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