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首页> 外文期刊>Japanese journal of applied physics >On-Chip Cellomics: Constructive Understanding of Multicellular Network Using On-Chip Cellomics Technology
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On-Chip Cellomics: Constructive Understanding of Multicellular Network Using On-Chip Cellomics Technology

机译:芯片上细胞组学:使用芯片上细胞组学技术对多细胞网络的建设性理解

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摘要

We have developed methods and systems of analyzing epigenetic information in cells 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 deonucleotide (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 and community effects. A system of analyzing epigenetic information, on-chip cellomics technology, has been 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 microfabrication technology and a reconstructive approach of cellular systems not only for single cell-based subjects such as Escherichia coli and macrophages but also for cellular networks like the community effect of cardiomyocytes and plasticity in neuronal networks. One of the most important contributions of this study was to be able to reconstruct the concept of a cell regulatory network from the "local" (molecules expressed at certain times and places) to the "global" (the cell as a viable, functioning system). Knowledge of epigenetic information, which we can control and change during cell lives, complements the genetic variety, and these two types of information are indispensable for living organisms. This new knowlege has the potential to be the basis of cell-based biological and medical fields such as those involving cell-based drug screening and the regeneration of organs from stem cells.
机译:我们已经开发了分析细胞中表观遗传信息的方法和系统,以扩展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,因此无法仅通过考虑常规脱核苷酸(DNA)信息处理事件来解释其行为。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,从而补充了它们的遗传信息。已经从细胞调节的双重互补观点出发,开发了一种表观遗传信息分析系统,即片上细胞组学技术,作为“代数”系统(强调时间方面)和“几何”系统(强调空间方面)利用微细加工技术和细胞系统的重构方法,不仅适用于诸如大肠杆菌和巨噬细胞等基于单细胞的受试者,而且还适用于诸如心肌细胞的社区效应和神经元网络可塑性之类的细胞网络。这项研究最重要的贡献之一是能够从“局部”(在某些时间和地点表达的分子)到“全局”(作为可行的功能系统的细胞)重构细胞调节网络的概念。 )。我们可以在细胞生命中控制和改变的表观遗传信息的知识补充了遗传多样性,而这两类信息对于活生物体来说是必不可少的。这种新知识有可能成为基于细胞的生物学和医学领域的基础,例如那些涉及基于细胞的药物筛选和干细胞器官再生的领域。

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  • 来源
    《Japanese journal of applied physics》 |2012年第8issue4期|p.08KA03.1-08KA03.13|共13页
  • 作者

    Kenji Yasuda;

  • 作者单位

    Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Chiyoda, Tokyo 101-0062, Japan;

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  • 正文语种 eng
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