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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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通过合成生物学加速遗传传感器的开发,扩展和部署.

Shivang Hina-Nilesh Joshi1, Christopher Jenkins2, David Ulaeto2

  • 1School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.

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活细胞中的工程生物传感器为环境监测和生物基生产提供了强大的工具. 高通量测试,机器学习和基因工程方面的进步正在迅速扩大其能力,尽管复杂的传感和现实世界的部署仍然存在挑战.

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科学领域:

  • 合成生物学 合成生物学
  • 生物传感器开发开发
  • 基因工程是一种基因工程.

背景情况:

  • 活细胞具有固有的感知能力,可以重新用于工程生物传感器.
  • 合成生物学利用这些细胞系统用于环境监测和生物基生产的应用.
  • 调节基因表达的遗传传感器是这个领域的一个重点.

研究的目的:

  • 提供当前生物传感器技术及其开发方法的全面审查.
  • 为突出创建不同目标的遗传传感器的进步.
  • 确定生物传感器设计和部署的挑战和未来方向.

主要方法:

  • 对生物传感器开发,扩展和部署的现有文献的审查.
  • 专注于具有基因表达输出的遗传传感器.
  • 高通量测试,进化方法,生物信息学和机器学习的整合.

主要成果:

  • 管道正在出现,为广泛的分子 (小分子,蛋白质,核酸) 创建遗传传感器.
  • 高通量实验分析,进化方法,生物信息学和机器学习加速了传感器的发展.
  • 复杂的传感任务和可靠的现实世界部署仍然是重大挑战.

结论:

  • 在修改非模型生物体方面的进一步进展对于扩大生物传感器应用至关重要.
  • 整合控制工程原理,如反,对于克服部署障碍至关重要.
  • 实现工程生物传感器的全部潜力需要解决复杂传感和现实世界的整合方面的挑战.