Generation of a large family of genetic logic gates for applications in biosensing and information processing
Generation of a large family of genetic logic gates for applications in biosensing and information processing
批准号:
BB/J020133/2
负责人:
Susan Rosser
金额:
$8.91万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Electronic logic gates are the building blocks of all the digital devices, such as computers and smart phones, on which we have come to rely. Individual logic gates take one or more digital (ON or OFF) inputs, perform a logical operation and produce a single digital output. For example, the output of an AND gate is ON only if both of its inputs are ON, whereas the output of an OR gate is ON if either (or both) of its inputs is ON. Electronic logic gates can be connected together into circuits that can store data, add and subtract numbers, count, and carry out any other logical or mathematical calculation. The microprocessor at the heart of a typical modern digital computer has tens of millions of logic gates, all connected together into complex circuits.Scientists working on simple bacterial cells have used them to create genetic networks that can reproduce the behaviour of individual logic gates. Just like their electronic counterparts, these biological logic gates can take one or more inputs, perform a logical operation and provide an output. For example, a bacterial AND gate has been engineered to take its input from two natural sensors in the bacterial cell that detect different sugars in the environment. The logic gate combines these two inputs and produces an output, in the form of a fluorescent protein, only when both sugars are present. The hope is that one day these biological logic gates can be engineered into more complex circuits that can perform multiple logical operations, store information, make complex preprogrammed decisions, and have multiple outputs. For instance, a cell could be engineered to detect pollutants and to take action to neutralize the exact cocktail of pollutants present, or to undergo a complex series of metabolic steps to turn agricultural waste into valuable chemical feedstocks or pharmaceutical products.Each biological logic gate has to be individually built from genetic components known as transcription factors and promoters. Transcription factors and promoters are used by cells to control their own gene expression in response to their environment. To ensure that individual logic gates operate independently of each other in a circuit with multiple logic gates, a different transcription factor must be used for each logic gate. Up until now, transcription factors and promoters had to be sourced from natural systems and characterised one by one, and the lack of a large number of different, well characterised transcription factors has severely limited the complexity of digital genetic circuits that can be built.In the research proposed here, we will develop a new way to produce a large set of transcription factors and promoters that do not interfere with each other's action. Unlike other transcription factors that have been used to build genetic logic gates to date, these transcription factors will not cause unwanted side effects by altering gene expression in their bacterial host. Therefore, the set of transcription factors we generate will be ideal for building large genetic circuits, containing multiple logic gates, to carry out complex data processing and storage operations.Application of biological logic circuits for in-the-field detection of pollutants, toxic agents, pathogens, water contaminants, explosives etc. will depend on miniaturised reliable detectors of their outputs. We will develop a miniature device to detect fluorescent proteins produced as outputs of bacterial genetic logic circuits, and will test this device using a genetic circuit built from our new transcription factors. This should pave the way towards the development of portable, easy to use biological sensors and processors for a whole host of applications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Engineered Genetic Control Systems for Advanced Therapeutics
-
批准号:BB/Y008545/1
-
项目类别:Research Grant
-
资助金额:$1575.86万
-
财政年份:2024
-
负责人:Susan Rosser
-
依托单位:
21ENGBIO Controllable DNA polycatenanes of infinite length for intelligent biomaterials
-
批准号:BB/W01338X/1
-
项目类别:Research Grant
-
资助金额:$12.85万
-
财政年份:2022
-
负责人:Susan Rosser
-
依托单位:
21EBTA Engineering Biology for Cell and Gene Therapy Applications
-
批准号:BB/W014610/1
-
项目类别:Research Grant
-
资助金额:$193.46万
-
财政年份:2022
-
负责人:Susan Rosser
-
依托单位:
Optimisation of CHO for Biotherapeutic Manufacture
-
批准号:EP/V038095/1
-
项目类别:Research Grant
-
资助金额:$472.6万
-
财政年份:2021
-
负责人:Susan Rosser
-
依托单位:
A Novel Single Subunit RNA Polymerases for Commercial RNA Manufacturing
-
批准号:BB/T017236/1
-
项目类别:Research Grant
-
资助金额:$25.78万
-
财政年份:2020
-
负责人:Susan Rosser
-
依托单位:
Harnessing enzymes from plants for selective functionalisation of triterpenoid scaffolds
-
批准号:BB/S017712/1
-
项目类别:Research Grant
-
资助金额:$51.7万
-
财政年份:2019
-
负责人:Susan Rosser
-
依托单位:
University of Edinburgh ROSSER UKRI Innovation Fellowships: BBSRC Flexible Talent Mobility Accounts
-
批准号:BB/R506606/1
-
项目类别:Research Grant
-
资助金额:$12.74万
-
财政年份:2017
-
负责人:Susan Rosser
-
依托单位:
A Combinatorial Approach to Enhance Production of Monoclonal Antibodies
-
批准号:BB/M018229/1
-
项目类别:Research Grant
-
资助金额:$82.28万
-
财政年份:2016
-
负责人:Susan Rosser
-
依托单位:
Assay Development Platforms
-
批准号:BB/M025659/1
-
项目类别:Research Grant
-
资助金额:$302.73万
-
财政年份:2015
-
负责人:Susan Rosser
-
依托单位:
Industrial Saponins
-
批准号:BB/M028860/1
-
项目类别:Research Grant
-
资助金额:$44.82万
-
财政年份:2015
-
负责人:Susan Rosser
-
依托单位:
SynthSys-Mammalian: Edinburgh Mammalian Synthetic Biology Research Centre
-
批准号:BB/M018040/1
-
项目类别:Research Grant
-
资助金额:$1600.1万
-
财政年份:2014
-
负责人:Susan Rosser
-
依托单位:
Edinburgh Genome Foundry
-
批准号:BB/M00029X/1
-
项目类别:Research Grant
-
资助金额:$254.88万
-
财政年份:2014
-
负责人:Susan Rosser
-
依托单位:
"Exploiting the syntegron technology platform for assembly and optimisation of complex genetic ensembles"
-
批准号:EP/K034359/1
-
项目类别:Research Grant
-
资助金额:$181.78万
-
财政年份:2014
-
负责人:Susan Rosser
-
依托单位:
Research visit to the Joint BioEnergy Institute CA
-
批准号:BB/L004321/1
-
项目类别:Research Grant
-
资助金额:$0.64万
-
财政年份:2013
-
负责人:Susan Rosser
-
依托单位:
A synthetic biology approach to optimisation of microbial fuel cell electricity production
-
批准号:EP/J003964/2
-
项目类别:Fellowship
-
资助金额:$91.87万
-
财政年份:2013
-
负责人:Susan Rosser
-
依托单位:
Integron and omics based acceleratation of industrial strain development
-
批准号:BB/K011499/2
-
项目类别:Research Grant
-
资助金额:$18.43万
-
财政年份:2013
-
负责人:Susan Rosser
-
依托单位:
NITROPLAST: A LIGHT-DRIVEN, SYNTHETIC NITROGEN-FIXING ORGANELLE
-
批准号:BB/L011506/1
-
项目类别:Research Grant
-
资助金额:$103.03万
-
财政年份:2013
-
负责人:Susan Rosser
-
依托单位:
Generation of a large family of genetic logic gates for applications in biosensing and information processing
-
批准号:BB/J020133/1
-
项目类别:Research Grant
-
资助金额:$15.31万
-
财政年份:2012
-
负责人:Susan Rosser
-
依托单位:
Integron and omics based acceleratation of industrial strain development
-
批准号:BB/K011499/1
-
项目类别:Research Grant
-
资助金额:$31.71万
-
财政年份:2012
-
负责人:Susan Rosser
-
依托单位:
A synthetic biology approach to optimisation of microbial fuel cell electricity production
-
批准号:EP/J003964/1
-
项目类别:Fellowship
-
资助金额:$122.4万
-
财政年份:2011
-
负责人:Susan Rosser
-
依托单位:
国内基金
海外基金
登录
查看更多内容
基于水稻穗粒数关键基因LARGE2提高作物产量的探索与应用
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:黄洛将
-
依托单位:
水稻穗粒数调控关键因子LARGE6的分子遗传网络解析
-
批准号:--
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2022
-
负责人:黄洛将
-
依托单位:
量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
-
批准号:12074246
-
项目类别:面上项目
-
资助金额:62.0万元
-
批准年份:2020
-
负责人:Yoshitomo Kamiya
-
依托单位:
甘蓝型油菜Large Grain基因调控粒重的分子机制研究
-
批准号:31972875
-
项目类别:面上项目
-
资助金额:58.0万元
-
批准年份:2019
-
负责人:石江华
-
依托单位:
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
-
批准号:61672236
-
项目类别:面上项目
-
资助金额:64.0万元
-
批准年份:2016
-
负责人:王骏
-
依托单位:
钙激活的大电流钾离子通道β1亚基影响慢性肾脏病进展的机制探讨
-
批准号:81070587
-
项目类别:面上项目
-
资助金额:38.0万元
-
批准年份:2010
-
负责人:陈育青
-
依托单位:
Large PB/PB小鼠 视网膜新生血管模型的研究
-
批准号:30971650
-
项目类别:面上项目
-
资助金额:8.0万元
-
批准年份:2009
-
负责人:周旻
-
依托单位:
预构血管化支架以构建大体积岛状组织工程化脂肪瓣的实验研究
-
批准号:30901566
-
项目类别:青年科学基金项目
-
资助金额:19.0万元
-
批准年份:2009
-
负责人:鲁峰
-
依托单位:
稀疏全基因组关联分析方法研究
-
批准号:10926200
-
项目类别:数学天元基金项目
-
资助金额:10.0万元
-
批准年份:2009
-
负责人:王学钦
-
依托单位:
保险风险模型、投资组合及相关课题研究
-
批准号:10971157
-
项目类别:面上项目
-
资助金额:24.0万元
-
批准年份:2009
-
负责人:胡亦钧
-
依托单位: