arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0908.3600q-bio.MNcond-mat.dis-nnnlin.CGq-bio.CBq-bio.TO
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通过耦合调控网络的形态发生:位置信息和比例调节的可靠控制

Morphogenesis by coupled regulatory networks: Reliable control of positional information and proportion regulation

Thimo Rohlf, Stefan Bornholdt

摘要:

基于空间模式形成的非平衡机制,我们研究了如何通过局部耦合的离散动力学网络来控制位置信息,类似于发育中的多细胞生物体中细胞的基因调控网络。作为一个例子,我们研究的发展问题的域的形成和比例调节的存在下,噪音,以及在存在的细胞流。我们发现,解决这一任务的网络表现出信息处理的层次结构,并具有类似的复杂性,作为活细胞的发育电路。比例调节可随系统大小而缩放,并导致基因表达结构域的尖锐、精确定位的边界,即使对于大量细胞也是如此。噪声诱导的动力学,使用平均场近似的详细分析表明,在基因表达状态的噪声稳定(而不是破坏)的空间模式中存在的细胞运动,无论是静止的,以及增长的系统。最后,我们讨论了如何在多细胞生物体中生长组织的高度动态环境中实现这种机制。

英文摘要:

Based on a non-equilibrium mechanism for spatial pattern formation we study how position information can be controlled by locally coupled discrete dynamical networks, similar to gene regulation networks of cells in a developing multicellular organism. As an example we study the developmental problems of domain formation and proportion regulation in the presence of noise, as well as in the presence of cell flow. We find that networks that solve this task exhibit a hierarchical structure of information processing and are of similar complexity as developmental circuits of living cells. Proportion regulation is scalable with system size and leads to sharp, precisely localized boundaries of gene expression domains, even for large numbers of cells. A detailed analysis of noise-induced dynamics, using a mean-field approximation, shows that noise in gene expression states stabilizes (rather than disrupts) the spatial pattern in the presence of cell movements, both for stationary as well as growing systems. Finally, we discuss how this mechanism could be realized in the highly dynamic environment of growing tissues in multi-cellular organisms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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