21EngBio: Engineering Bioprogrammable Materials Using Hydrogel-Based Cell-Free Gene Expression and Spatiotemporal Modelling
21EngBio: Engineering Bioprogrammable Materials Using Hydrogel-Based Cell-Free Gene Expression and Spatiotemporal Modelling
批准号:
BB/W01095X/1
负责人:
Thomas Howard
金额:
$12.62万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
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英文摘要
Living systems possess many and varied molecular and biochemical means to detect and respond to a wide range of internal and external stimuli. This includes identifying competitors, predators or prey, and the identification of sources of food or chemicals that may cause harm. At a cellular level, these stimuli are frequently detected through the binding of a chemical with a protein partner. This may directly alter gene expression or may trigger further signalling pathways within the cell. Using these mechanisms, cells continually monitor multiple inputs leading to a range of outcomes. These may be biochemical changes (for example, producing enzymes to detoxify substances or exploit new sources of food) or they may be changes that permit growth towards more favourable conditions. From a developmental perspective, the integration of internal and external signalling is crucial for the development of an organism's body plan. What appear as complex responses however, frequently emerge from simple, local molecular interactions coupled with the diffusion of signal molecules. Being able to replicate some of these cellular aspects of living systems in materials - without using living cells - could be transformative to a range of applications. This may permit the development of materials capable of detecting specific pathogens and the subsequent production of targeted antimicrobials, materials that alert the user to the presence of noxious chemicals, or even self-organisation of multiple functions at a molecular level. The diffusion of a small number of chemical signals and their impact on gene expression for example, may explain the placement of taste receptors on the tongue and the development of camouflage patterns. Using living systems within materials however, is problematic. It requires the maintenance of a benign environment and an understanding of existing cellular regulatory mechanisms, while the release of genetically modified organisms is not desirable in many regions. Our goal is to use cellular molecular and biochemical networks in materials free from the constraints of living cells. We have recently demonstrated cell-free gene expression inside hydrogels with different physical properties and end-user applications and we have used cell-free protein synthesis reactions to alter the properties of the materials themselves. Further, the use of molecular biology and biochemical components outside of a cell allows integration with non-living chemistries that is not possible to enact within a living organism. For example, we are currently combining enzymatic activities with cell-free gene expression to create materials for passive surveillance of viruses and vectors of viruses (BB/V017209/1, BB/V017551/1). Here we will generate the foundational experimental data and mathematical models that describe the relationship between diffusion and gene expression in three dimensional hydrogel matrices. We will use this understanding to design gene networks that can be homogeneously distributed but result in heterogeneous functionality. In addition, we will use this opportunity to examine some of the broader considerations around the concept of bioprogrammable matter, and use this dialogue to inform future research programmes.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Methods for Embedding Cell-Free Protein Synthesis Reactions in Macro-Scale Hydrogels.
在宏观水凝胶中嵌入无细胞蛋白质合成反应的方法。
DOI:
10.3791/65500
发表时间:
2023
期刊:
JoVE
影响因子:
--
作者:
[Kavil S]
通讯作者:
Kavil S
CAREER: Inferring Minimal but Sufficient Environment Models from Natural Language and Semantic Perception for Collaborative Robots in Dynamic Environments
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批准号:2144804
-
项目类别:Continuing Grant
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资助金额:$51.31万
-
财政年份:2022
-
负责人:Thomas Howard
-
依托单位:
Smart Materials for Equipment-Free Molecular Identification of Insect Pests and Viral Vectors
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批准号:BB/V017551/1
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项目类别:Research Grant
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资助金额:$18.75万
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财政年份:2021
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负责人:Thomas Howard
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依托单位:
S&AS: FND: COLLAB: Probabilistic Underactuated Motion Adaptation
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批准号:1723972
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项目类别:Standard Grant
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资助金额:$27.47万
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财政年份:2017
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负责人:Thomas Howard
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依托单位:
Self-disclosing protective materials using synthetic gene networks
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批准号:EP/N026683/1
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项目类别:Research Grant
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资助金额:$83.24万
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财政年份:2016
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负责人:Thomas Howard
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依托单位:
NRI: Collaborative Research: Learning Adaptive Representations for Robust Mobile Robot Navigation from Multi-Modal Interactions
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批准号:1637813
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项目类别:Standard Grant
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资助金额:$28.94万
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财政年份:2016
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负责人:Thomas Howard
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依托单位:
国内基金
海外基金
Frontiers of Environmental Science & Engineering
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批准号:51224004
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2012
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负责人:朱建军
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依托单位:
Chinese Journal of Chemical Engineering
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批准号:21224004
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2012
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负责人:廖叶华
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依托单位:
Chinese Journal of Chemical Engineering
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批准号:21024805
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项目类别:专项基金项目
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资助金额:20.0万元
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批准年份:2010
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负责人:廖叶华
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依托单位: