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Synthesis of Infectious Bacteriophages in an E. coli-based Cell-free Expression System

机译:基于大肠杆菌的无细胞表达系统中感染性噬菌体的合成

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摘要

A new generation of cell-free transcription-translation (TXTL) systems, engineered to have a greater versatility and modularity, provide novel capabilities to perform basic and applied sciences in test tube reactions. Over the past decade, cell-free TXTL has become a powerful technique for a broad range of novel multidisciplinary research areas related to quantitative and synthetic biology. The new TXTL platforms are particularly useful to construct and interrogate biochemical systems through the execution of synthetic or natural gene circuits. In vitro TXTL has proven convenient to rapidly prototype regulatory elements and biological networks as well as to recapitulate molecular self-assembly mechanisms found in living systems. In this article, we describe how infectious bacteriophages, such as MS2 (RNA), ΦΧ174 (ssDNA), and T7 (dsDNA), are entirely synthesized from their genome in one-pot reactions using an all Escherichia coli, cell-free TXTL system. Synthesis of the three coliphages is quantified using the plaque assay. We show how the yield of synthesized phage depends on the biochemical settings of the reactions. Molecular crowding, emulated through a controlled concentration of PEG 8000, affects the amount of synthesized phages by orders of magnitudes. We also describe how to amplify the phages and how to purify their genomes. The set of protocols and results presented in this work should be of interest to multidisciplinary researchers involved in cell-free synthetic biology and bioengineering.
机译:经过设计具有更大的多功能性和模块化的新一代无细胞转录翻译(TXTL)系统提供了在试管反应中执行基础科学和应用科学的新颖功能。在过去的十年中,无细胞TXTL已成为与定量和合成生物学相关的广泛的新型多学科研究领域的强大技术。新的TXTL平台通过执行合成或天然基因电路,对于构建和审讯生化系统特别有用。事实证明,体外TXTL可以方便地快速建立调节元件和生物网络的原型,以及概括生命系统中发现的分子自组装机制。在本文中,我们描述了如何使用全大肠杆菌,无细胞TXTL系统通过一锅法反应从其基因组中完全合成感染性噬菌体,例如MS2(RNA),ΦΧ174(ssDNA)和T7(dsDNA) 。使用噬菌斑测定法定量三种大肠杆菌的合成。我们展示了合成噬菌体的产量如何取决于反应的生化设置。通过控制浓度的PEG 8000模拟分子拥挤,会影响合成噬菌体的数量级。我们还描述了如何扩增噬菌体以及如何纯化其基因组。涉及无细胞合成生物学和生物工程的多学科研究人员应该对这项工作中提出的一组协议和结果感兴趣。

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