Departament de Termodinàmica, Facultat de Física , Universitat de València , E-46100 Burjassot , Spain.
Allen Discovery Center at Tufts University, Department of Biology , Tufts University Medford , Massachusetts 02155-4243 , United States.
J Phys Chem B. 2019 May 9;123(18):3924-3934. doi: 10.1021/acs.jpcb.9b01717. Epub 2019 Apr 30.
Biological networks use collective oscillations for information processing tasks. In particular, oscillatory membrane potentials have been observed in nonexcitable cells and bacterial communities where specific ion channel proteins contribute to the bioelectric coordination of large populations. We aim at describing theoretically the oscillatory spatiotemporal patterns that emerge at the multicellular level from the single-cell bioelectric dynamics. To this end, we focus on two key questions: (i) What single-cell properties are relevant to multicellular behavior? (ii) What properties defined at the multicellular level can allow an external control of the bioelectric dynamics? In particular, we explore the interplay between transcriptional and translational dynamics and membrane potential dynamics in a model multicellular ensemble, describe the spatiotemporal patterns that arise when the average electric potential allows groups of cells to act as a coordinated multicellular patch, and characterize the resulting synchronization phenomena. The simulations concern bioelectric networks and collective communication across different scales based on oscillatory and synchronization phenomena, thus shedding light on the physiological dynamics of a wide range of endogenous contexts across embryogenesis and regeneration.
生物网络利用集体振荡来完成信息处理任务。特别是在非兴奋性细胞和细菌群落中，已经观察到了振荡膜电位，其中特定的离子通道蛋白有助于大群体的生物电协调。我们旨在从单细胞生物电动力学的角度出发，从理论上描述在多细胞水平上出现的振荡时空模式。为此，我们专注于两个关键问题：（i）哪些单细胞特性与多细胞行为有关？（ii）在多细胞水平上定义的哪些特性可以允许对生物电动力学进行外部控制？具体来说，我们在一个模型多细胞集合中探索转录和翻译动力学与膜电位动力学之间的相互作用，描述当平均电势允许细胞群作为一个协调的多细胞补丁起作用时出现的时空模式，并表征由此产生的同步现象。这些模拟涉及基于振荡和同步现象的生物电网络和跨不同尺度的集体通信，从而为胚胎发生和再生等广泛的内源性环境的生理动力学提供了启示。
