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An engineering platform for rapid prototyping synthetic genetic networks

An engineering platform for rapid prototyping synthetic genetic networks
用于快速构建合成遗传网络原型的工程平台
批准号:
EP/P017401/1
负责人:
Yizhi Cai
金额:
$12.84万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
Synthetic biology is an exciting new discipline which offers the potential to bring many benefits to human health and welfare. One near-market example is the use of engineered genetic networks to make biological sensors, or biosensors, which can rapidly detect toxins and harmful microorganisms. However, most synthetic biology systems are based on living genetically modified cells, and due to safety concerns and regulatory issues, they can not be used outside of a specially approved laboratory, whereas the greatest unmet need for biosensors is in the field, for 'point-of-use' and 'point-of-care' tests for health hazards. The laboratory of Professor James Collins recently reported a remarkable breakthrough, using non-living biological systems based on genetic components dried onto strips of paper. These systems can be prepared very cheaply, can be stored stably for long periods, and, since they are not alive and can not replicate, they pose no risks to the environment. This technology is therefore ideal for further development of sensors for human health. In addition, these cell-free systems can be prepared in large numbers very rapidly, in a matter of hours, and tested rapidly, in a matter of minutes, whereas living cell based systems may take weeks to prepare and days to test. This makes the new technology ideal for 'rapid prototyping' of genetic circuits. Many designs can be rapidly generated and tested, and the most successful can then be used to generate cell-based systems for applications where this is required, such as engineered metabolic pathways for manufacturing pharmaceuticals and other valuable compounds. In this project, we will further develop these remarkable systems and create new tools which will make it even easier to design and develop them. Firstly, we will create new computational tools which can be used to design genetic circuits for many applications. These will be made available on-line for the benefit of the research community. Secondly, we will establish methods for rapid automated assembly and testing of new circuits, allowing many thousands of variants to be generated and tested in a very short time with minimal human effort. Thirdly, we will seek to improve the basic technology, to improve the performance of the cell-free devices, and also develop low cost open-source electronic readers which can easily be used in the field along with the sensors we develop. Fourthly, we will demonstrate the usefulness of the technology by generating sensors which can rapidly and sensitively detect various external inputs. All of our new inventions will be made available to the research community. In addition to the other advantages mentioned above, this technology also makes it easy for users to develop their own assays simply by adding appropriate DNA components to a basic mixture, using standard protocols. Such devices can be manufactured and distributed cheaply on a very large scale. In conjunction with low-cost readers, ubiquitous mobile devices equipped with GPS and time data, and cloud-computing, this will offer the possibility to detect health hazards with unprecedented levels of speed and detail, with potentially huge effects on human health and welfare. Furthermore, these devices are ideal for use in education, allowing users to design and test their own genetic circuits without the issues inherent in using living cells. For these reasons, our proposal offers tremendous benefits and represents a step change in the real-word applicability of synthetic biology.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cbpa.2018.04.002
发表时间: 2018-10
期刊: Current opinion in chemical biology
影响因子: 7.8
作者: [Schindler D, Dai J, Cai Y]
通讯作者: Cai Y
Genetic Constructor: An Online DNA Design Platform.
Genetic Constructor:在线 DNA 设计平台。
DOI: 10.1021/acssynbio.7b00236
发表时间: 2017
期刊: ACS synthetic biology
影响因子: 4.7
作者: [Bates M]
通讯作者: Bates M
EMMA assembly explained: A step-by-step guide to assemble synthetic mammalian vectors.
EMMA 组装说明:组装合成哺乳动物载体的分步指南。
DOI: 10.1016/bs.mie.2018.12.017
发表时间: 2019
期刊: Methods in enzymology
影响因子: --
作者: [Jones S]
通讯作者: Jones S
DOI: 10.1038/s41467-018-05332-z
发表时间: 2018-07-27
期刊: Nature communications
影响因子: 16.6
作者: [Szymanski E, Calvert J]
通讯作者: Calvert J
6
    GREAT: Genome Refactoring and Engineering Approach to study non-coding genes driving Translation
    • 批准号:
      EP/Y024753/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $215.83万
    • 财政年份:
      2024
    • 负责人:
      Yizhi Cai
    • 依托单位:
    A UK-Japan partnership for synergising synthetic biology with systems biology.
    • 批准号:
      BB/X018318/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $6.61万
    • 财政年份:
      2023
    • 负责人:
      Yizhi Cai
    • 依托单位:
    UKRI Switzerland Partnering Awards for a UK-Swiss Engineering Biology Meeting
    • 批准号:
      BB/X004937/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $3.21万
    • 财政年份:
      2023
    • 负责人:
      Yizhi Cai
    • 依托单位:
    Engineering and safeguarding synthetic genomes
    • 批准号:
      EP/V05967X/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $171.46万
    • 财政年份:
      2022
    • 负责人:
      Yizhi Cai
    • 依托单位:
    国内基金
    海外基金
    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information