通过扩散进行球状分子交流:均质细胞聚集体之间的信号传递

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Mitra Rezaei;Hamidreza Arjmandi;Mohammad Zoofaghari;Kajsa Kanebratt;Liisa Vilén;David Janzén;Peter Gennemark;Adam Noel
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引用次数: 0

摘要

最近的分子通讯(MC)研究已经整合了更详细的计算模型,以捕捉实际生物物理系统的动态。本文的重点是受球体--器官芯片实验系统中常用的三维细胞聚集体--的启发,为 MC 收发器开发逼真的模型。可以使用球体或利用球体建模的潜在应用包括片上器官系统中的营养输送、生物标记物的释放或癌症肿瘤部位对药物分子的接收,或参与信息交换的收发纳米机械。本文考虑了一个简单的扩散 MC 系统,在该系统中,球形发射器和球形接收器处于无界流体环境中。这些球形天线被模拟为扩散信号分子的多孔介质,然后对其边界条件和有效扩散系数进行表征。此外,对于点源或球形发射器,接收球体内外的浓度格林函数(GFC)都是通过无穷级数分析得出和制定的,并通过粒子模拟器(PBS)进行了确认。利用所提供的 GFC,可以计算拟议球形通信系统中的发射和接收信号。这项研究表明,接收球体的多孔结构会放大扩散信号,但同时也会分散这些信号,因此在多孔性和信息传输速率之间存在权衡。此外,研究结果表明,与点源发射器相比,发射球面的多孔结构不仅能分散接收信号,还能衰减接收信号。系统性能还根据误码率(BER)进行了评估。结果表明,降低接收球面的孔隙率可提高系统性能。相反,降低发射球面的孔隙率则会对系统性能产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spheroidal Molecular Communication via Diffusion: Signaling Between Homogeneous Cell Aggregates
Recent molecular communication (MC) research has integrated more detailed computational models to capture the dynamics of practical biophysical systems. This paper focuses on developing realistic models for MC transceivers inspired by spheroids – three-dimensional cell aggregates commonly used in organ-on-chip experimental systems. Potential applications that can be used or modeled with spheroids include nutrient transport in organ-on-chip systems, the release of biomarkers or reception of drug molecules by cancerous tumor sites, or transceiver nanomachines participating in information exchange. In this paper, a simple diffusive MC system is considered where a spheroidal transmitter and spheroidal receiver are in an unbounded fluid environment. These spheroidal antennas are modeled as porous media for diffusive signaling molecules, then their boundary conditions and effective diffusion coefficients are characterized. Furthermore, for either a point source or spheroidal transmitter, the Green’s function for concentration (GFC) outside and inside the receiving spheroid is analytically derived and formulated in terms of an infinite series and confirmed with a particle-based simulator (PBS). The provided GFCs enable computation of the transmitted and received signals in the proposed spheroidal communication system. This study shows that the porous structure of the receiving spheroid amplifies diffusion signals but also disperses them, thus there is a trade-off between porosity and information transmission rate. Furthermore, the results reveal that the porous arrangement of the transmitting spheroid not only disperses the received signal but also attenuates it in comparison to a point source transmitter. System performance is also evaluated in terms of the bit error rate (BER). Decreasing the porosity of the receiving spheroid is shown to enhance the system performance. Conversely, reducing the porosity of the transmitting spheroid can adversely affect system performance.
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来源期刊
CiteScore
3.90
自引率
13.60%
发文量
23
期刊介绍: As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.
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