Engineering challenges of BioNEMS: the integration of microfluidics, micro- and nanodevices, models and external control for systems biology.

J P Wikswo, A Prokop, F Baudenbacher, D Cliffel, B Csukas, M Velkovsky
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引用次数: 55

Abstract

Systems biology, i.e. quantitative, postgenomic, postproteomic, dynamic, multiscale physiology, addresses in an integrative, quantitative manner the shockwave of genetic and proteomic information using computer models that may eventually have 10(6) dynamic variables with non-linear interactions. Historically, single biological measurements are made over minutes, suggesting the challenge of specifying 10(6) model parameters. Except for fluorescence and micro-electrode recordings, most cellular measurements have inadequate bandwidth to discern the time course of critical intracellular biochemical events. Micro-array expression profiles of thousands of genes cannot determine quantitative dynamic cellular signalling and metabolic variables. Major gaps must be bridged between the computational vision and experimental reality. The analysis of cellular signalling dynamics and control requires, first, micro- and nano-instruments that measure simultaneously multiple extracellular and intracellular variables with sufficient bandwidth; secondly, the ability to open existing internal control and signalling loops; thirdly, external BioMEMS micro-actuators that provide high bandwidth feedback and externally addressable intracellular nano-actuators; and, fourthly, real-time, closed-loop, single-cell control algorithms. The unravelling of the nested and coupled nature of cellular control loops requires simultaneous recording of multiple single-cell signatures. Externally controlled nano-actuators, needed to effect changes in the biochemical, mechanical and electrical environment both outside and inside the cell, will provide a major impetus for nanoscience.

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BioNEMS的工程挑战:集成微流体,微和纳米器件,模型和系统生物学的外部控制。
系统生物学,即定量、后基因组、后蛋白质组学、动态、多尺度生理学,利用计算机模型以综合、定量的方式处理遗传和蛋白质组学信息的冲击波,这些信息最终可能具有10(6)个具有非线性相互作用的动态变量。从历史上看,单一的生物测量是在几分钟内完成的,这表明了指定10(6)个模型参数的挑战。除了荧光和微电极记录外,大多数细胞测量都没有足够的带宽来识别关键细胞内生化事件的时间过程。数千个基因的微阵列表达谱不能确定定量动态细胞信号传导和代谢变量。计算视觉和实验现实之间的主要差距必须弥合。细胞信号动力学和控制的分析需要,首先,微和纳米仪器,同时测量多个细胞外和细胞内变量有足够的带宽;第二,打开现有内部控制和信号回路的能力;第三,提供高带宽反馈的外部BioMEMS微致动器和外部可寻址的细胞内纳米致动器;第四,实时、闭环、单细胞控制算法。解开细胞控制回路的嵌套和耦合特性需要同时记录多个单细胞特征。外部控制的纳米致动器,需要影响细胞内外的生化、机械和电气环境的变化,将为纳米科学提供一个主要的推动力。
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