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首页> 外文期刊>ACS Synthetic Biology >Probing Cell-Free Gene Expression Noise in Femtoliter Volumes
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Probing Cell-Free Gene Expression Noise in Femtoliter Volumes

机译:在飞升体积中探索无细胞基因表达噪声

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Cell-free systems offer a simplified and flexible context that enables important biological reactions while removing complicating factors such as fitness, division, and mutation that are associated with living cells, powever, cell-free expression in unconfined spaces is missing important elements of expression in living cells. In particular, t the small volume of living cells can give rise to significant stochastic effects, which are negligible in bulk cell-free reactions. Here, we confine cell-free gene expression reactions to cell-relevant 20 IL volumes (between the volumes of Escherichia coil and Saccharomyces cerevisiae), in polydimethylsiloxane (PDMS) containers. We demonstrate that expression efficiency varies Widely among different containers, likely due to non-Poisson distribution of expression machinery at the observed scale. Previously, this phenomenon has been observed only in liposomes. In addition, we analyze gene expression noise. This analysis is facilitated by our use of cell-free systems, which allow the mapping of the measured noise properties to intrinsic noise models. In contrast, previous live cell noise analysis efforts have been complicated by multiple noise sources. Noise analysis reveals signatures of translational bursting, while noise dynamics suggest that overall cell-free expression is limited by a diminishing translation rate. In addition to offering a unique approach to understanding noise in gene circuits, our work contributes to a deeper understanding of the biophysical properties of cell-free expression systems, thus aiding efforts to harness cell-free systems for synthetic biology applications.
机译:无细胞系统提供了简化且灵活的环境,可实现重要的生物学反应,同时消除了与活细胞相关的复杂因素(例如适应性,分裂和突变),但是无限制空间中无细胞的表达缺少重要的表达元素活细胞。特别是,少量活细胞会产生明显的随机效应,而在无大量细胞的反应中这可以忽略不计。在这里,我们将无细胞基因表达反应限制在聚二甲基硅氧烷(PDMS)容器中与细胞相关的20 IL体积(大肠埃希氏菌和酿酒酵母的体积之间)中。我们证明表达效率在不同容器之间差异很大,这可能是由于在观察到的规模上表达机器的非泊松分布所致。以前,这种现象仅在脂质体中观察到。此外,我们分析了基因表达的噪音。我们使用无单元系统有助于进行此分析,该系统允许将测得的噪声特性映射到固有噪声模型。相反,以前的活细胞噪声分析工作由于多种噪声源而变得复杂。噪声分析揭示了翻译爆发的特征,而噪声动力学表明,整个无细胞表达受到翻译速率下降的限制。除了提供一种独特的方法来了解基因电路中的噪声外,我们的工作还有助于更深入地了解无细胞表达系统的生物物理特性,从而有助于为合成生物学应用利用无细胞系统。

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