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Challenges and opportunities with CRISPR activation in bacteria for data-driven metabolic engineering

机译:对数据驱动代谢工程细菌中CRISPR激活的挑战和机遇

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Creating CRISPR gene activation (CRISPRa) technologies in industrially promising bacteria could be transformative for accelerating data-driven metabolic engineering and strain design. CRISPRa has been widely used in eukaryotes, but applications in bacterial systems have remained limited. Recent work shows that multiple features of bacterial promoters impose stringent requirements on CRISPRa-mediated gene activation. However, by systematically defining rules for effective bacterial CRISPRa sites and developing new approaches for encoding complex functions in engineered guide RNAs, there are now clear routes to generalize synthetic gene regulation in bacteria. When combined with multi-omics data collection and machine learning, the full development of bacterial CRISPRa will dramatically improve the ability to rapidly engineer bacteria for bioproduction through accelerated design-build-test-learn cycles.
机译:在工业上承诺的细菌中创造CRISPR基因激活(CRISPRA)技术可能是加速数据驱动的代谢工程和应变设计的变革性。 Crispra已被广泛用于真核生物,但细菌系统中的应用仍然有限。 最近的工作表明,细菌促进剂的多种特征对Crispra介导的基因活化产生严格的要求。 然而,通过系统地定义有效的细菌CrispRa位点并开发用于在工程指南RNA中编码复杂功能的新方法,现在存在明确的途径,以概括细菌中的合成基因调节。 当结合多OMICS数据收集和机器学习时,细菌Crispra的全面发展将通过加速设计 - 构建测试学习循环来显着提高快速工程生物生产的能力。

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