合成蛋白支架的空间扰动揭示了细胞不对称分裂的稳健性。

Jiahe Li, Pengcheng Bu, Kai-Yuan Chen, Xiling Shen
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引用次数: 0

摘要

不对称细胞分裂是细胞群体产生多样性的重要机制。干细胞通常进行不对称分裂,产生用于自我更新的子干细胞和用于填充组织的分化程度更高的子细胞。在不对称细胞分裂过程中,蛋白质细胞命运决定因素不对称地定位于分裂细胞的相反两极,从而导致不同的细胞命运。然而,在这个空间分配过程中,细胞命运决定是否对波动和噪声具有鲁棒性尚不清楚。为了回答这个问题,我们设计了Caulobacter,一种不对称分裂的细菌模型,来表达具有模块化蛋白质相互作用域的合成支架。这些支架在不改变其内源性表达水平的情况下扰乱了PleC-DivJ-DivK磷酸化信号网络的空间分布。令人惊讶的是,强制这些细胞命运决定因素的对称分布并没有导致对称的子代命运或任何形态缺陷。进一步的计算分析表明,PleC和DivJ形成了一个强大的磷开关,可以承受很大的空间变化。这一发现可能会揭示干细胞不对称分裂调控中类似磷酸化开关的存在。总的来说,我们的研究表明,合成蛋白质支架可以提供一个有用的工具来探测生物系统,以更好地了解它们的工作原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial perturbation with synthetic protein scaffold reveals robustness of asymmetric cell division.

Asymmetric cell division is an important mechanism for creating diversity in a cellular population. Stem cells commonly perform asymmetric division to generate both a daughter stem cell for self-renewal and a more differentiated daughter cell to populate the tissue. During asymmetric cell division, protein cell fate determinants asymmetrically localize to the opposite poles of a dividing cell to cause distinct cell fate. However, it remains unclear whether cell fate determination is robust to fluctuations and noise during this spatial allocation process. To answer this question, we engineered Caulobacter, a bacterial model for asymmetric division, to express synthetic scaffolds with modular protein interaction domains. These scaffolds perturbed the spatial distribution of the PleC-DivJ-DivK phospho-signaling network without changing their endogenous expression levels. Surprisingly, enforcing symmetrical distribution of these cell fate determinants did not result in symmetric daughter fate or any morphological defects. Further computational analysis suggested that PleC and DivJ form a robust phospho-switch that can tolerate high amount of spatial variation. This insight may shed light on the presence of similar phospho-switches in stem cell asymmetric division regulation. Overall, our study demonstrates that synthetic protein scaffolds can provide a useful tool to probe biological systems for better understanding of their operating principles.

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