首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >On-Chip Cellomics Assay Enabling Algebraic and Geometric Understanding of Epigenetic Information in Cellular Networks of Living Systems. 1. Temporal Aspects of Epigenetic Information in Bacteria
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On-Chip Cellomics Assay Enabling Algebraic and Geometric Understanding of Epigenetic Information in Cellular Networks of Living Systems. 1. Temporal Aspects of Epigenetic Information in Bacteria

机译:芯片上的细胞组学分析可实现对生命系统细胞网络中表观遗传信息的代数和几何理解。 1.细菌表观遗传信息的时间方面

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摘要

A series of studies aimed at developing methods and systems of analyzing epigenetic information in cells and in cell networks, as well as that of genetic information, was examined to expand our understanding of how living systems are determined. Because cells are minimum units reflecting epigenetic information, which is considered to map the history of a parallel-processing recurrent network of biochemical reactions, their behaviors cannot be explained by considering only conventional DNA information-processing events. The role of epigenetic information on cells, which complements their genetic information, was inferred by comparing predictions from genetic information with cell behaviour observed under conditions chosen to reveal adaptation processes, population effects and community effects. A system of analyzing epigenetic information was developed starting from the twin complementary viewpoints of cell regulation as an “algebraic” system (emphasis on temporal aspects) and as a “geometric” system (emphasis on spatial aspects). Exploiting the combination of latest microfabrication technology and measurement technologies, which we call on-chip cellomics assay, we can control and re-construct the environments and interaction of cells from “algebraic” and “geometric” viewpoints. In this review, temporal viewpoint of epigenetic information, a part of the series of single-cell-based “algebraic” and “geometric” studies of celluler systems in our research groups, are summerized and reported. The knowlege acquired from this study may lead to the use of cells that fully control practical applications like cell-based drug screening and the regeneration of organs.
机译:进行了一系列旨在开发分析细胞和细胞网络中的表观遗传信息以及遗传信息的方法和系统的研究,以扩大我们对如何确定生命系统的理解。由于细胞是反映表观遗传信息的最小单位,被认为是映射生化反应并行处理循环网络的历史,因此仅考虑常规DNA信息处理事件就无法解释其行为。通过将遗传信息的预测与在选择揭示适应过程,种群效应和群落效应的条件下观察到的细胞行为进行比较,可以推断出表观遗传信息在细胞上的作用,从而补充了其遗传信息。从细胞调节的双重互补观点出发,开发了一种用于分析表观遗传信息的系统,即“代数”系统(强调时间方面)和“几何”系统(强调空间方面)。利用最新的微细加工技术和测量技术(我们称为片上细胞组学测定法)的结合,我们可以从“代数”和“几何”观点控制和重建细胞的环境和相互作用。在这篇综述中,总结并报告了表观遗传信息的时间观点,这是我们研究小组对蜂窝系统的一系列基于单细胞的“代数”和“几何”研究的一部分。从这项研究中获得的知识可能会导致完全控制实际应用(例如基于细胞的药物筛选和器官再生)的细胞的使用。

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