How cells explore shape space: a quantitative statistical perspective of cellular morphogenesis.

How cells explore shape space: a quantitative statistical perspective of cellular morphogenesis.
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DOI:
10.1002/bies.201400011
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发表时间:
2014-12
期刊:
影响因子:
4
通讯作者:
Bakal, Chris
Bakal, Chris
中科院分区:
生物学3区
文献类型:
--
作者:
Yin, Zheng;Sailem, Heba;Sero, Julia;Ardy, Rico;Wong, Stephen T. C.;Bakal, Chris

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通过对描述系统性基因耗竭后单细胞形状的数据集进行统计分析,我们发现细胞探索的形态景观由少量吸引子状态组成。我们建议,这些景观的拓扑结构在很大程度上是由细胞内在因素,如生物物理约束细胞骨架组织,并反映不同的稳定信号和/或转录状态。细胞外在因素决定细胞如何探索这些景观,以及景观本身的拓扑结构。信息刺激主要通过参与信号网络来驱动稳定状态之间的转换,而机械刺激则调整甚至根本改变这些景观的拓扑结构。随着环境的波动,细胞探索的形态景观的拓扑结构动态地适应这些波动。最后,我们假设如何复杂的细胞和组织形态可以产生有限数量的简单细胞形状。
Through statistical analysis of datasets describing single cell shape following systematic gene depletion, we have found that the morphological landscapes explored by cells are composed of a small number of attractor states. We propose that the topology of these landscapes is in large part determined by cell-intrinsic factors, such as biophysical constraints on cytoskeletal organization, and reflect different stable signaling and/or transcriptional states. Cell-extrinsic factors act to determine how cells explore these landscapes, and the topology of the landscapes themselves. Informational stimuli primarily drive transitions between stable states by engaging signaling networks, while mechanical stimuli tune, or even radically alter, the topology of these landscapes. As environments fluctuate, the topology of morphological landscapes explored by cells dynamically adapts to these fluctuations. Finally we hypothesize how complex cellular and tissue morphologies can be generated from a limited number of simple cell shapes.
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