EAGER: Closed-loop Silicon-biomolecular Systems with Integrated Synthesis-fluidics-nanopore Interfaces

EAGER：具有集成合成-流体-纳米孔接口的闭环硅生物分子系统

• 批准号: 1841188
• 负责人: Luis Ceze
• 金额: $ 19.99万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1841188&HistoricalAwards=false
• 关键词: EAGER; Closed; loop; Silicon; biomolecular

Given the slowing down of cost-performance gains from Moore's law and the scalability limits of digital storage technology, biomolecules are attractive alternatives for information storage and processing -- DNA data storage in particular is especially interesting due to its density, durability, and path to feasibility. At the same time, electronics will likely continue to be an integral part of computing systems, due to its high performance and the ability to be engineered. Hence, it is natural to consider hybrid biomolecular-electronic systems. Towards this end, this project is focused on building a fully integrated, closed-loop system that includes DNA synthesis, molecular sensors (nanopore), and fluidics for novel applications in biomolecular information processing. If successful, the scientific community will be provided with new and easy-to-use methods to accelerate molecular data storage-processing-computing and synthetic biology experimentation. This will make molecular computing and synthetic biology applications more accessible to the broader community. Integrating in-vivo and in-vitro biomolecular components with silicon systems can lead to innovations in a range of areas from health diagnostics and therapies, new materials, food, to information technology.The investigators will engineer a toolbox of new molecular parts that can be used to store and transmit information in the form of nanopore-addressable molecular barcoding of synthetic DNA and proteins. A digital fluidics system will employ computer vision techniques for reliable control of droplet movements. The investigators will develop machine learning techniques to analyze raw nanopore sensor data for low-cost and high-throughput identification of molecular outputs. Demonstration of these components within the integrated system to be developed as part of this project will show proof-of-principle applications that advance molecular information processing capabilities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

鉴于摩尔定律的成本效益增长放缓和数字存储技术的可扩展性限制，生物分子是信息存储和处理的有吸引力的替代品- DNA数据存储特别令人感兴趣，因为它的密度，耐用性和可行性。与此同时，由于其高性能和工程能力，电子产品可能会继续成为计算系统的一个组成部分。因此，考虑混合生物分子-电子系统是很自然的。为此，该项目的重点是建立一个完全集成的闭环系统，其中包括DNA合成，分子传感器（纳米孔）和射流在生物分子信息处理的新应用。如果成功，科学界将获得新的和易于使用的方法，以加速分子数据存储-处理-计算和合成生物学实验。这将使分子计算和合成生物学应用更容易为更广泛的社区所接受。将体内和体外生物分子组件与硅系统相结合，可以在从健康诊断和治疗、新材料、食品到信息技术的一系列领域带来创新。研究人员将设计一个新的分子部件工具箱，这些部件可以用于以合成DNA和蛋白质的纳米孔可寻址分子条形码的形式存储和传输信息。数字射流系统将采用计算机视觉技术来可靠地控制液滴运动。研究人员将开发机器学习技术来分析原始纳米孔传感器数据，以低成本和高通量地识别分子输出。作为该项目的一部分，在集成系统中演示这些组件将展示推进分子信息处理能力的原理证明应用。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

High density DNA data storage library via dehydration with digital microfluidic retrieval

• DOI: 10.1038/s41467-019-09517-y
• 发表时间: 2019-04-12
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Newman, Sharon;Stephenson, Ashley P.;Ceze, Luis
• 通讯作者: Ceze, Luis

PurpleDrop: A Digital Microfluidics-Based Platform for Hybrid Molecular-Electronics Applications

PurpleDrop：基于数字微流体的混合分子电子应用平台

• DOI: 10.1109/mm.2020.3005615
• 发表时间: 2020
• 期刊: IEEE Micro
• 影响因子: 3.6
• 作者: Stephenson, Ashley;Willsey, Max;McBride, Jeff;Newman, Sharon;Nguyen, Bichlien;Takahashi, Christopher;Strauss, Karin;Ceze, Luis
• 通讯作者: Ceze, Luis