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基于芯片的细胞组学分析方法,可对活系统细胞网络中的表观遗传信息进行代数和几何理解。1. 细菌中表观遗传信息的时间方面。

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.

机构信息

Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, Japan.

出版信息

Sensors (Basel). 2012;12(6):7169-206. doi: 10.3390/s120607169. Epub 2012 May 30.

DOI:10.3390/s120607169
PMID:22969343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3435972/
Abstract

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.

摘要

一系列旨在开发分析细胞和细胞网络中表观遗传信息以及遗传信息的方法和系统的研究,旨在扩展我们对生命系统如何确定的理解。由于细胞是反映表观遗传信息的最小单位,这些信息被认为映射了生化反应的并行处理递归网络的历史,因此仅考虑传统的 DNA 信息处理事件无法解释它们的行为。通过比较遗传信息的预测与在选择的条件下观察到的细胞行为,推断出细胞中补充遗传信息的表观遗传信息的作用,这些条件旨在揭示适应过程、群体效应和群落效应。从细胞调节作为“代数”系统(强调时间方面)和“几何”系统(强调空间方面)的双重互补观点出发,开发了一种分析表观遗传信息的系统。利用我们称之为芯片细胞分析的最新微制造技术和测量技术的组合,我们可以从“代数”和“几何”的角度控制和重建细胞的环境和相互作用。在这篇综述中,总结并报告了我们研究小组基于单细胞的“代数”和“几何”细胞系统系列研究中表观遗传信息的时间观点的部分内容。从这项研究中获得的知识可能会导致对细胞的完全控制,从而实现基于细胞的药物筛选和器官再生等实际应用。

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