BioTransistors
BioTransistors
批准号:
BB/K003909/1
负责人:
Michael Stumpf
金额:
$47.29万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2012
资助国家:
英国
项目状态:
已结题
起止时间:
2012 至 --
关键词:
中文摘要
合成生物学旨在开发协议,可重复使用的生物分子组件和工程工具,用于合理设计合成生物系统,以实现某些生物技术,生物加工或生物医学目的。它建立在基因工程的基础上,将传统的分子生物学方法与系统级信息和工程观点相结合。这一新兴而迅速发展的学科的进展遵循两条互补的研究路线:第一,分子机器已经被构建并表征为模仿电子设备(如开关,简单的振荡器和传感器);第二,途径被重新设计-越来越多地取得相当大的成功-以可靠的速度生产生物技术上重要的化合物。但迄今为止产生的大多数组件仅限于简单的逻辑元素;同样,大部分工程生物系统是“哑”的,因为它们以预定的、非适应性的或环境感知的方式实现其功能。在拟议的项目中,我们将尝试产生一类新的生物分子器件,它模仿电子学中晶体管的特性。晶体管彻底改变了电子领域,推动了计算和消费技术的进步。它们广泛用于数字和模拟电子产品,在最基本的层面上,它们是放大和切换信号和电源的设备。它们以比以前更有效的方式做到这一点,以前的技术允许在单个设备中集成大量的晶体管,这是现代计算机和处理器技术的基础。在生物领域,晶体管仍然难以捉摸,但非常理想;在最近的调查中,它们被视为合成生物学成为生物技术和生物加工可靠工具的重要里程碑。拟议的项目将提供晶体管的生物等效物,在现实的生物环境下表征其设计特征和性能,并研究其在范例应用中的使用。我们还将进一步确定自然进化的系统在多大程度上已经具有类似晶体管的特征。最后,我们将开发新的统计和计算方法,可用于生物合成系统的设计。
英文摘要
Synthetic biology aims to develop protocols, reusable biomolecular components, and engineering tools for the rational design of synthetic biological systems that fulfil certain biotechnological, bioprocessing or biomedical purposes. It builds on genetic engineering and combines traditional molecular biology approaches with systems-level information and engineering perspectives. Progress in this fledgling and rapidly developing discipline has followed two complementary lines of research: first, molecular machines have been constructed and characterised that mimic electronic devices (such as switches, simple oscillators and sensors); second, pathways are reengineered --- increasingly with considerable success --- to produce biotechnologically important compounds at reliable rates. But most components generated thus far are limited to simple logic elements; equally, the bulk of engineered biological systems are ``dumb" in the sense that they fulfil their function in a predetermined and non-adaptive or environmentally aware manner. In the proposed project we will try to generate a novel class of biomolecular device which mimic the characteristics of transistors in electronics. Transistors have revolutionised the field of electronics and fuelled the progress in computing and consumer technologies . They are used widely in digital and analog electronics and at the most basic level they are devices that amplify and switch signals and power. They do so in more efficient way than previous technologies which has allowed the integration of vast numbers of transistors in single devices which underlies modern computer and processor technologies. In the biological domain transistors have remained elusive but are highly desirable; in recent surveys they were regarded as important milestones towards synthetic biology becoming a reliable tool in biotechnology and bioprocessing. The proposed project will deliver biological equivalents of transistors, characterize their design features and performance under realistic biological settings, and investigate their use in exemplar applications. We will furthermore determine the extent to which naturally evolved systems harbour transistor-like features already. Finally, we will develop novel statistical and computational approaches that can be used in the design of biosynthetic systems.
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Model selection in systems biology depends on experimental design.
系统生物学中的模型选择取决于实验设计。
DOI:
10.17863/cam.25488
发表时间:
2014
期刊:
影响因子:
--
作者:
[Silk D]
通讯作者:
Silk D
DOI:
10.7554/elife.07545
发表时间:
2015-09-22
期刊:
eLife
影响因子:
7.7
作者:
[Liepe J, Holzhütter HG, Bellavista E, Kloetzel PM, Stumpf MP, Mishto M]
通讯作者:
Mishto M
DOI:
10.1016/j.celrep.2016.05.024
发表时间:
2016-06-14
期刊:
Cell reports
影响因子:
8.8
作者:
[Filippi S, Barnes CP, Kirk PD, Kudo T, Kunida K, McMahon SS, Tsuchiya T, Wada T, Kuroda S, Stumpf MP]
通讯作者:
Stumpf MP
DOI:
10.1186/s12918-016-0324-x
发表时间:
2016-08-22
期刊:
BMC systems biology
影响因子:
--
作者:
[Lenive O, W Kirk PD, H Stumpf MP]
通讯作者:
H Stumpf MP
Next generation approaches to connect models and quantitative data
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批准号:BB/P028306/1
-
项目类别:Research Grant
-
资助金额:$46.14万
-
财政年份:2018
-
负责人:Michael Stumpf
-
依托单位:
Statistical modelling of in vivo immune response dynamics in zebrafish to multiple stimuli
-
批准号:BB/K017284/1
-
项目类别:Research Grant
-
资助金额:$39.37万
-
财政年份:2013
-
负责人:Michael Stumpf
-
依托单位:
MSc in Bioinformatics and Theoretical Systems Biology
-
批准号:BB/H021035/1
-
项目类别:Training Grant
-
资助金额:$39.37万
-
财政年份:2010
-
负责人:Michael Stumpf
-
依托单位:
Development of a high-throughput quantitative immunofluorescence method and stochastic modeling of signalling networks
-
批准号:BB/G530268/1
-
项目类别:Research Grant
-
资助金额:$6.37万
-
财政年份:2009
-
负责人:Michael Stumpf
-
依托单位:
Inference-based Modelling in Population and Systems Biology
-
批准号:BB/G007934/1
-
项目类别:Research Grant
-
资助金额:$39.76万
-
财政年份:2009
-
负责人:Michael Stumpf
-
依托单位:
Developing methods for inferring regulatory mechanisms from intact systems: a neisseria case study
-
批准号:BB/G001863/1
-
项目类别:Research Grant
-
资助金额:$41.03万
-
财政年份:2008
-
负责人:Michael Stumpf
-
依托单位:
Systems approaches to biological research training grant
-
批准号:BB/F52902X/1
-
项目类别:Training Grant
-
资助金额:$41.05万
-
财政年份:2008
-
负责人:Michael Stumpf
-
依托单位:
A rational in-silico and experimental approach to mapping interactomes applied to Candida glabrata
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批准号:BB/F013566/1
-
项目类别:Research Grant
-
资助金额:$96.58万
-
财政年份:2008
-
负责人:Michael Stumpf
-
依托单位:
Predicting properties of biological networks from noisy and incomplete data
-
批准号:BB/E01612X/1
-
项目类别:Research Grant
-
资助金额:$38.46万
-
财政年份:2007
-
负责人:Michael Stumpf
-
依托单位: