Mohammad Zoofaghari;Fabrizio Pappalardo;Martin Damrath;Ilangko Balasingham
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引用次数: 0
摘要
细胞通过胞外囊泡(EVs)的相互作用操纵着各种行为,包括癌症的诱发和发展、炎症、抗肿瘤信号传导以及肿瘤微环境中的细胞迁移、增殖和凋亡。作为外部刺激物,EVs 可以激活或抑制某些受体通路,从而放大或减弱靶细胞中某种粒子的释放。这也可以在一个生物反馈环路中进行,在这个环路中,发射器受到靶细胞从供体细胞接收到的 EVs 引发的诱导释放的影响,从而形成一个双边过程。在本文中,我们首先推导了单边通信链路框架下内化函数的频率响应。我们将这一解决方案应用于闭环系统,以求得双边系统的频率响应。本文最后报告了由自然释放和诱导释放相结合得出的细胞整体释放量,并从细胞间距和细胞膜上的 EV 反应速率方面对结果进行了比较。
Modeling Extracellular Vesicles-Mediated Interactions of Cells in the Tumor Microenvironment
Interactions of cells via extracellular vesicles (EVs) manipulate various actions, including cancer initiation and progression, inflammation, anti-tumor signaling and cell migration, proliferation and apoptosis in the tumor microenvironment. EVs as the external stimulus can activate or inhibit some receptor pathways in a way that amplify or attenuate a kind of particle release at target cells. This can also be carried out in a biological feedback-loop where the transmitter is affected by the induced release initiated by the target cell due to the EVs received from the donor cell, to create a bilateral process. In this paper, at first we derive the frequency response of internalization function in the framework of a unilateral communication link. This solution is adapted to a closed-loop system to find the frequency response of a bilateral system. The overall releases of the cells, given by the combination of the natural release and the induced release, are reported at the end of this paper and the results are compared in terms of distance between the cells and reaction rates of EVs at the cell membranes.
期刊介绍:
The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).