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CryptKeeper:一种负面设计工具,用于减少细菌中的无意基因表达

Cameron T Roots¹, Jeffrey E Barrick¹

¹Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, Texas 78712, U.S.A.

bioRxiv : the preprint server for biology

|September 16, 2024

概括

CryptKeeper软件预测合成DNA的意外基因表达,防止基因不稳定性和分子生物学中的实验失败. 这种工具有助于研究人员设计实验,避免神秘基因表达的并发症.

科学领域:

分子生物学分子生物学
合成生物学合成生物学
生物信息学是一种生物信息学.

背景情况:

基因克隆和蛋白质表达等分子生物学技术涉及将合成DNA引入生物体.
细胞机械对这些序列的意外识别可能会导致神秘的基因表达.
神秘的基因表达会导致遗传不稳定,并掩盖实验结果,使研究复杂化.

研究的目的:

介绍CryptKeeper,一个用于可视化细菌基因表达信号和DNA序列的转化负担的计算管道.
为了应对将基因表达元素的个别计算工具的预测置于上下文的挑战.
为了减轻克隆挑战和由非故意的基因表达引起的实验失败.

主要方法:

开发了CryptKeeper,这是一个预测细菌基因表达信号和转化负担的软件管道.
应用了CryptKeeper来分析E. coli*中神秘基因表达的已发表示例.
研究了来自真核病毒传染性克隆和单个蛋白质的神秘基因表达.

主要成果:

在公布的病例中,CryptKeeper准确地预测了不必要的基因表达,导致遗传不稳定.
该软件识别了导致蛋白质切断和阻碍净化的非目标表达元素.
CryptKeeper的预测与归因于神秘基因表达的实验失败相关.

结论:

CryptKeeper有效地可视化和估计来自DNA序列的转化负担,有助于检测神秘的基因表达.
使用CryptKeeper将负面设计纳入合成生物学和反向遗传学工作流可以防止实验并发症.
这种工具有助于研究人员避免在DNA操纵过程中因意外基因表达而产生的无法解释的失败和挑战.

关键词:

计算的DNA序列设计设计.设计 - 建造 - 测试周期.质粒的不稳定性质粒的不稳定性再组合蛋白过度表达的情况.可靠性和可重复性.

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