接触依赖性命运模式中的机械化学反馈回路

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
T. Dullweber , A. Erzberger
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引用次数: 1

摘要

为了可靠地形成和维持具有特定功能的结构,许多多细胞系统进化为利用生物化学信号、力学和形态学之间的相互作用。我们回顾了基于细胞-细胞接触的Notch信号驱动命运决定以及相应的分化过程导致接触重塑的情况下的机械化学反馈回路。我们比较了初始对称性破坏和随后的模式细化的不同机制,并讨论了模式化结果如何取决于生物化学和机械时间尺度之间的关系。最后,我们概述了新的方法,包括合成电路的研究,并展望了未来在分析和利用机械化学反馈方面的实验和理论发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mechanochemical feedback loops in contact-dependent fate patterning

Mechanochemical feedback loops in contact-dependent fate patterning

To reliably form and maintain structures with specific functions, many multicellular systems evolved to leverage the interplay between biochemical signaling, mechanics, and morphology.

We review mechanochemical feedback loops in cases where cell–cell contact-based Notch signaling drives fate decisions, and the corresponding differentiation process leads to contact remodeling. We compare different mechanisms for initial symmetry breaking and subsequent pattern refinement, as well as discuss how patterning outcomes depend on the relationship between biochemical and mechanical timescales.

We conclude with an overview of new approaches, including the study of synthetic circuits, and give an outlook on future experimental and theoretical developments toward dissecting and harnessing mechanochemical feedback.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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