Patterned mechanical feedback establishes a global myosin gradient.
Patterned mechanical feedback establishes a global myosin gradient.
复制标题
图案化的机械反馈建立了全球肌球蛋白梯度。
DOI:
10.1038/s41467-022-34518-9
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发表时间:
2022-11-17
影响因子:
16.6
通讯作者:
Streichan, Sebastian J.
中科院分区:
文献类型:
--
作者:
Gustafson, Hannah J.;Claussen, Nikolas;De Renzis, Stefano;Streichan, Sebastian J.
Morphogenesis, the coordinated execution of developmental programs that shape embryos, raises many fundamental questions at the interface between physics and biology. In particular, how the dynamics of active cytoskeletal processes are coordinated across the surface of entire embryos to generate global cell flows is poorly understood. Two distinct regulatory principles have been identified: genetic programs and dynamic response to mechanical stimuli. Despite progress, disentangling these two contributions remains challenging. Here, we combine in toto light sheet microscopy with genetic and optogenetic perturbations of tissue mechanics to examine theoretically predicted dynamic recruitment of non-muscle myosin II to cell junctions during Drosophila embryogenesis. We find dynamic recruitment has a long-range impact on global myosin configuration, and the rate of junction deformation sets the rate of myosin recruitment. Mathematical modeling and high frequency analysis reveal myosin fluctuations on junctions around a mean value set by mechanical feedback. Our model accounts for the early establishment of the global myosin pattern at 80% fidelity. Taken together our results indicate spatially modulated mechanical feedback as a key regulatory input in the establishment of long-range gradients of cytoskeletal configurations and global tissue flow patterns. How does DNA encode shape? Here, via in toto light sheet microscopy and optogenetic control of cellular forces, the authors show that spatially patterned mechanical feedback loops establish the cytoskeletal patterns driving axis elongation tissue flow in Drosophila.
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影响因子:
16.6
作者:
Izquierdo E;Quinkler T;De Renzis S
通讯作者:
De Renzis S
影响因子:
48
作者:
Heemskerk I;Streichan SJ
通讯作者:
Streichan SJ
影响因子:
11.8
作者:
Acharya, Bipul R.;Nestor-Bergmann, Alexander;Yap, Alpha S.
通讯作者:
Yap, Alpha S.
影响因子:
8.6
作者:
Dierkes, Kai;Sumi, Angughali;Salbreux, Guillaume
通讯作者:
Salbreux, Guillaume
影响因子:
11.8
作者:
Lavalou J;Mao Q;Harmansa S;Kerridge S;Lellouch AC;Philippe JM;Audebert S;Camoin L;Lecuit T
通讯作者:
Lecuit T