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On-Chip Cellomics for Cardiotoxity: Cell Network Model For Re-Construction of Higher Complexity of Organs

机译:用于心脏毒性的片上细胞组学:用于重建器官较高复杂性的细胞网络模型

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Cells are minimum units reflecting epigenetic information, which is considered to map the history of a parallelprocessingrecurrent network of biochemical reactions, their behaviors cannot be explained by considering onlyconventional DNA information-processing events. We have developed methods and systems of analyzing epigeneticinformation in cells, as well as that of genetic information, to expand our understanding of how living systems aredetermined. The role of epigenetic information on cells, which complements their genetic information, was inferred bycomparing predictions from genetic information with cell behaviour observed under conditions chosen to revealadaptation processes and community effects. A system of analyzing epigenetic information was developed starting fromthe twin complementary viewpoints of cell regulation as an 'algebraic' system (emphasis on temporal aspects) and as a'geometric' system (emphasis on spatial aspects). The knowlege acquired from this study may lead to the use of cells thatfully control practical applications like cell-based drug screening and the regeneration of organs. As one of the practicalapplication, we have developed the on-chip cardiotoxity measurement system for monitoring the risk of the lethalventricular arrhythmia Torsade de pointes (TdP), which is the most common reason for the withdrawal or restricted use ofmany cardiovascular and non-cardiovascular drugs. The lack of an in vitro model to detect pro-arrhythmic effects onhuman heart cells hinders the development of new drugs. We also exploited the recently established human inducedpluripotent stem (hiPS) cells driven to differentiate into functional cardiomyocytes. The hiPS-derived cardiomyocytes(hiPS-CMs) were analyzed using our on-chip cardiotoxity measurement system. The application of ion channel inhibitorsresulted in dose-dependent changes to the field potential waveform, and these changes were identical to those induced inthe native cardiomyocytes. This study shows that hiPS-CMs represent a promising in vitro model for cardiacelectrophysiologic studies and drug screening.
机译: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,仅通过常规DNA信息处理事件无法解释其行为。我们已经开发了分析细胞表观遗传信息以及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。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。从细胞调节的两个互补观点出发,开发了一种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)。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。作为一种实际应用,我们开发了一种片上心律测量系统,用于监测致死性室性心律失常性扭转性心律失常(TdP)的风险,这是停药或限制使用许多心血管和非心血管药物的最常见原因。缺乏检测对人心脏细胞促心律失常作用的体外模型,阻碍了新药的开发。我们还利用了最近建立的人类诱导多能干(hiPS)细胞,这些细胞被驱动分化为功能性心肌细胞。使用我们的片上心脏毒性测量系统分析了源自hiPS的心肌细胞(hiPS-CM)。离子通道抑制剂的应用导致场电位波形呈剂量依赖性变化,这些变化与天然心肌细胞中诱导的变化相同。这项研究表明,hiPS-CMs代表了一种有前途的体外电生理研究和药物筛选模型。

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