Sizing it up: the mechanical feedback hypothesis of organ growth regulation.

Sizing it up: the mechanical feedback hypothesis of organ growth regulation.
复制标题

调整尺寸:器官生长调节的机械反馈假设。

DOI:
10.1016/j.semcdb.2014.06.018
复制
发表时间:
2014-11
影响因子:
7.3
通讯作者:
Zartman JJ
Zartman JJ
中科院分区:
生物学2区
文献类型:
--
作者:
Buchmann A;Alber M;Zartman JJ

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动物器官的物理尺寸是如何确定的,这个问题长期以来一直吸引着发育生物学领域的实验学家和计算科学家。过去几十年的研究已经确定了许多参与组织生长和稳态的新兴多尺度特征的基因和信号通路。然而,器官生长调节的综合模型仍然没有实现,由于细胞间信号通路内和之间发现的许多反馈控制回路以及缺乏对机械转导的确切作用的理解。在这里,我们回顾了几个计算和实验研究,调查了器官生长控制的机械反馈假说,它假设机械力是重要的,用于调节生长的终止,因此最终的器官的物理尺寸。特别是,我们强调选择的计算研究,集中在果蝇翅成虫盘的生长调节。在许多方面,这些计算和理论方法继续指导实验研究。我们演示了使用几个例子如何在解剖控制器官生长的遗传和生物物理机制之间的串扰未来的进展可能取决于计算和实验方法之间的密切耦合,以及在其他系统中的生长控制机制的比较。
The question of how the physical dimensions of animal organs are specified has long fascinated both experimentalists and computational scientists working in the field of developmental biology. Research over the last few decades has identified many of the genes and signaling pathways involved in organizing the emergent multi-scale features of growth and homeostasis. However, an integrated model of organ growth regulation is still unrealized due to the numerous feedback control loops found within and between intercellular signaling pathways as well as a lack of understanding of the exact role of mechanotransduction. Here, we review several computational and experimental studies that have investigated the mechanical feedback hypothesis of organ growth control, which postulates that mechanical forces are important for regulating the termination of growth and hence the final physical dimensions of organs. In particular, we highlight selected computational studies that have focused on the regulation of growth of the Drosophila wing imaginal disc. In many ways, these computational and theoretical approaches continue to guide experimental inquiry. We demonstrate using several examples how future progress in dissecting the crosstalk between the genetic and biophysical mechanisms controlling organ growth might depend on the close coupling between computational and experimental approaches, as well as comparison of growth control mechanisms in other systems.
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