论文标题

细胞生物学分子通信的调查:建立用于跨学科应用的新层次结构

A Survey of Molecular Communication in Cell Biology: Establishing a New Hierarchy for Interdisciplinary Applications

论文作者

Bi, Dadi, Almpanis, Apostolos, Noel, Adam, Deng, Yansha, Schober, Robert

论文摘要

分子通信(MC)工程的灵感来自将化学信号用作细胞生物学中的信息载体。化学信号传导的生物学性质使MC成为需要细胞与其他微观设备之间通信的跨学科应用的有前途的方法。但是,由于生命科学和通信工程领域采用了制定和解决研究问题的不同方法,因此它们之间的不匹配可以阻碍研究结果的翻译,并阻碍跨学科解决方案的开发和实施。为了弥合这一差距,这项调查提出了一个新型的通信层次结构,用于细胞生物学和地图现象,贡献和对层次结构的问题。层次结构包括:1)物理信号传播水平; 2)物理和化学信号相互作用水平; 3)信号数据接口级别; 4)局部数据抽象水平; 5)申请水平。为了进一步证明所提出的层次结构,它适用于有关法定感应,神经元信号传导和通过DNA通信的案例研究。最后,为每个级别和多个级别的集成确定了几个开放问题。拟议的层次结构为通信工程师提供了与生物系统进行研究和接触的语言,还可以帮助生物学家了解如何利用通信工程概念来解释,控制和操纵细胞生物学的信号。

Molecular communication (MC) engineering is inspired by the use of chemical signals as information carriers in cell biology. The biological nature of chemical signaling makes MC a promising methodology for interdisciplinary applications requiring communication between cells and other microscale devices. However, since the life sciences and communications engineering fields have distinct approaches to formulating and solving research problems, the mismatch between them can hinder the translation of research results and impede the development and implementation of interdisciplinary solutions. To bridge this gap, this survey proposes a novel communication hierarchy for MC signaling in cell biology and maps phenomena, contributions, and problems to the hierarchy. The hierarchy includes: 1) the Physical Signal Propagation level; 2) the Physical and Chemical Signal Interaction level; 3) the Signal-Data Interface level; 4) the Local Data Abstraction level; and 5) the Application level. To further demonstrate the proposed hierarchy, it is applied to case studies on quorum sensing, neuronal signaling, and communication via DNA. Finally, several open problems are identified for each level and the integration of multiple levels. The proposed hierarchy provides language for communication engineers to study and interface with biological systems, and also helps biologists to understand how communications engineering concepts can be exploited to interpret, control, and manipulate signaling in cell biology.

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