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How simple cell to cell communication rules can generate and maintain scale invariant gradients of signalling activity across a multicellular population
bioRxiv - Systems Biology Pub Date : 2020-11-16 , DOI: 10.1101/2020.11.03.366633
Jack Oldham

This paper shows computationally and conceptually how gradients of signalling activity can be generated and dynamically maintained across a population of cells using very simple cell to cell communication rules. The rules work on the basis of cells regulating their production rate of a signalling molecule according to the production rates of their immediate neighbours. Highly stable, scale invariant signalling gradients can be formed across the population, with highest rates at the centre and lowest at the periphery. The cell to cell communication behaviour that causes gradient formation is first explained in a descriptive, thought experiment type manner. It is then defined more formally using a conceptual, mathematically discrete computational model, which provides a network or graph type framework in which it is easy to analyse and control discrete signals that are sent between neighbouring cells. This provides an intuitive method of explaining how the signalling gradient emerges as a result of local cell to cell communication. Finally, examples of gradient formation are shown using software implementations of the model.

中文翻译:

简单的细胞间通讯规则如何在多细胞群体中产生并维持信号活性的尺度不变梯度

本文从计算和概念上展示了如何使用非常简单的单元间通信规则在整个细胞群体中生成并动态维护信号活动的梯度。该规则基于细胞根据其直接邻居的生产率调节其信号传导分子的生产率而起作用。可以在整个种群中形成高度稳定,尺度不变的信号梯度,中心的速率最高,而外围的速率最低。首先以描述性的思想实验类型的方式解释了导致梯度形成的单元间通信行为。然后使用概念上的数学离散计算模型更正式地定义它,它提供了一种网络或图形类型的框架,在其中可以轻松分析和控制在相邻小区之间发送的离散信号。这提供了一种直观的方法来解释由于本地小区到小区通信而如何出现信令梯度。最后,使用模型的软件实现显示了梯度形成的示例。
更新日期:2020-11-17
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