课题基金 / 基金详情

MIT Center for Integrative Synthetic Biology

MIT Center for Integrative Synthetic Biology
麻省理工学院综合合成生物学中心
批准号:
9276731
负责人:
RON WEISS
金额:
$222.31万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-25 至 2019-04-30

项目摘要

项目成果

RON WEISS的其他基金

相似基金

相关文献

中文摘要
翻译
麻省理工学院综合合成生物学中心将通过整合系统生物学和合成生物学来创造未来的治疗方法。系统生物学、合成生物学和健康相关应用的基础研究是过去十年蓬勃发展的三大学科。这些领域推动了生物医学科学的前沿,开发了用于生成和分析系统级数据的高通量平台,前所未有的生物系统工程能力,以及我们对人类疾病分子机制的理解取得了重大进展。然而,由于每个学科需要不同的专业知识,这些努力在很大程度上是相互独立的。因此,在一个研究中心整合系统生物学、合成生物学和健康相关应用是一个重要的机会。 我们在麻省理工学院的核心研究小组准备与麻省理工学院综合合成生物学中心一起努力克服这些挑战。拟议中心的一个主要特点是我们专注于下一代治疗学的跨学科和合作研究。我们的主要疾病相关目标围绕癌症,糖尿病和传染病。系统生物学和合成生物学将共同促进与健康有关的应用的重大进展。通过将自上而下的疾病系统观点与自下而上的新型治疗方法的合成构建相结合,该社区将创造新的疾病疗法,并能够整合多种输入并提供特定的干预措施。麻省理工学院综合合成生物学中心将在合成生物学、系统生物学和健康相关应用领域产生大量协同效应,这是很难通过独立的研究机构领导的研究工作来实现的。
英文摘要
The MIT Center for Integrative Synthetic Biology will create the therapeutics of the future by integrating systems biology and synthetic biology. Systems biology, synthetic biology, and fundamental research in health-related applications are three major disciplines that have thrived in the last decade. These fields have pushed the frontiers of biomedical science with the development of high-throughput platforms for generating and analyzing systems-level data, unprecedented abilities to engineer biological systems, and significant advances in our understanding of the molecular mechanisms underlying human disease. However, due to the diverse expertise required in each discipline, these efforts have been largely independent from each other. Therefore there is a significant opportunity for the integration of systems biology, synthetic biology, and health-related applications in a single research center. Our core group of researchers at MIT is poised to spearhead efforts to overcome these challenges with the MIT Center for Integrative Synthetic Biology. A key feature of the proposed Center is our focus on interdisciplinary and collaborative research into next-generation therapeutics. Our major disease-related targets revolve around Cancer, Diabetes, and Infectious Diseases. Together systems biology and synthetic biology will contribute to significant advances in health-related applications. By integrating top-down systems views of disease with bottom-up synthetic construction of novel treatments, this community will create new disease therapies with the ability to integrate multiple inputs and deliver specific interventions. Numerous synergies in synthetic biology, systems biology, and health-related applications will be generated by the MIT Center for Integrated Synthetic Biology which would be difficult to achieve via solely independent investigator-led research efforts.
期刊论文(28)
专著(0)
科研奖励(0)
会议论文
Scaling Computation and Memory in Living Cells.
在活细胞中缩放计算和记忆。
DOI: 10.1016/j.cobme.2017.10.003
发表时间: 2017-12
期刊: Current opinion in biomedical engineering
影响因子: 3.9
作者: [Yehl K, Lu T]
通讯作者: Lu T
A Modular Approach to Building Complex Synthetic Circuits.
构建复杂合成电路的模块化方法。
DOI: 10.1007/978-1-4939-7223-4_17
发表时间: 2017
期刊: Methods in molecular biology (Clifton, N.J.)
影响因子: --
作者: [Li,Yinqing, Weiss,Ron]
通讯作者: Weiss,Ron
DOI: 10.1016/j.molcel.2014.04.022
发表时间: 2014-05-22
期刊: MOLECULAR CELL
影响因子: 16
作者: [Nissim, Lior, Perli, Samuel D., Fridkin, Alexandra, Perez-Pinera, Pablo, Lu, Timothy K.]
通讯作者: Lu, Timothy K.
DOI: 10.1126/science.1256272
发表时间: 2014-11-14
期刊: Science (New York, N.Y.)
影响因子: --
作者: [Farzadfard F, Lu TK]
通讯作者: Lu TK
共 17 条
    Genetically Programmed Pancreatic Organoids with Self-Adaptive Multi-Lineage Population Control
    Genetically Programmed Pancreatic Organoids with Self-Adaptive Multi-Lineage Population Control
    Genetically Programmed Pancreatic Organoids with Self-Adaptive Multi-Lineage Population Control
    Programmed Differentiation Circuits for Organoids using Meso-Microfluidics
    海外基金