通过膜纳米管内的线粒体进行细胞间远距离物理信号传递:一种假设。

Q1 Mathematics
Felix Scholkmann
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引用次数: 0

摘要

单细胞之间通过细胞间通信(信号)进行协调互动,可实现多细胞生物体运作所需的复杂行为。一种新发现的细胞间信号传递机制依赖于纳米管状的细胞间连接,即 "膜纳米管"(MNTs)。本文提出的假设是,MNTs 内的线粒体可以形成一个连接结构(线粒体网络),从而实现细胞间的能量和信号交换。本文提出了两种能量和信号传输模式:电/电化学和电磁(光学)。本文回顾了支持这一假设的实验工作,并就所讨论主题的未来研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis.

Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis.

Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis.

Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis.

Coordinated interaction of single cells by cell-to-cell communication (signalling) enables complex behaviour necessary for the functioning of multicellular organisms. A quite newly discovered cell-to-cell signalling mechanism relies on nanotubular cell-co-cell connections, termed "membrane nanotubes" (MNTs). The present paper presents the hypothesis that mitochondria inside MNTs can form a connected structure (mitochondrial network) which enables the exchange of energy and signals between cells. It is proposed that two modes of energy and signal transmission may occur: electrical/electrochemical and electromagnetic (optical). Experimental work supporting the hypothesis is reviewed, and suggestions for future research regarding the discussed topic are given.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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