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SemiSynBio: Redox-enabled Bio-Electronics for Molecular Communication and Memory (RE-BIONICS)

SemiSynBio：用于分子通信和记忆的氧化还原生物电子学（RE-BIONICS）

基本信息

批准号：
1807604
负责人：
William Bentley
金额：
$ 112.5万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-07-15 至 2022-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1807604&HistoricalAwards=false
关键词：
SemiSynBio Redox enabled Bio Electronics

项目摘要

The goal of the RE-BIONICS project (Redox-enabled Bio-Electronics based on Molecular Communication) is to create first-of-kind bioelectronics devices that will mediate the rapid and facile information exchange between biology and electronics. These devices will have the potential to transform healthcare, enabling tele-monitoring and remote/autonomous drug delivery and facilitating environmental monitoring in agriculture and cyber-defense where connecting biological phenomena with electronics are important. The technical underpinnings of this work recognize that microelectronic devices depend on electrons for information processing while biology depends on molecules (e.g., insulin, antibodies). These systems are not intrinsically compatible as there are no free electrons in biology that could be transmitted to biological wires and control cell-based electronic circuits. Instead, biohybrid devices are envisioned that transmit information across this electron-molecule divide. New interfaces are needed that accept molecules from biology and create electrons for devices and the reverse. Such integrated systems designed and constructed within RE-BIONICS will be capable of this bidirectional communication for memory and computation. The project will build the components and information theory needed to construct biohybrid devices that could eventually be embedded within a biological system and provide electronic control. In addition to building capabilities for designing and constructing completely new biodevices, a most important aspect of this work is that it will bring together researchers and stakeholders from many disciplines, including biology, chemistry, materials science, and computer, electrical, chemical, and bioengineering. The project builds on the interdisciplinary nature of the project with Research Team from computer science, electrical engineering and bioengineering. The research thrusts span computer science and information theory, microelectromechanical systems, biofabrication and redox biology, and synthetic biology. Also, two interdisciplinary teams of undergraduate students from UMD and UNL will participate in the international Genetically Engineered Machine (iGEM) program and competition, and participate in specific outreach activities targeting Middle and High school students within the Future Problem Solving Program (FPSPI) at UNL. Further, this project will promote the participation of women, historically underrepresented in electrical engineering, representing more than majors in biology and bioengineering. RE-BIONICS researchers will also interact with federal agencies including NIST, FDA, and the Army Research Laboratory, gaining exposure to manufacturing and regulatory issues, as well as direct application areas such as national security. This project exploits reduction-oxidation (redox) mediators that are the biological equivalents of free electrons in electronics. The reactions represent packets of information transferred within biology. The project is organized into three specific aims. In Aim 1, the team will design, build and test device elements that facilitate information transfer from molecules of biological systems to electrons of microelectronic systems and the reverse. Using the principles of synthetic biology, bacterial cells will be engineered to recognize small signaling molecules, an example being pyocyanin that is secreted by opportunistic pathogen, Pseudomonas aeruginosa. Based on this recognition, these and other engineered sensing cells will produce -galactosidase, an enzyme that can be electrochemically quantified. In addition, cells will be engineered to accept electrons from devices and in a programmed manner, "turn on" gene expression that can modulate cell behavior. In Aim 2, the team will design and construct a biological read/write memory device, based on the biopolymer melanin, that can be accessed both biologically and electronically. In Aim 3, the team will integrate these elements creating biohybrid circuits, such as bioelectric logic gates, and biologic to electronic to biologic signaling systems, culminating in an electronically-controlled device that interprets molecular information, computes desired outcomes and electronically actuates cells to signal and control biological populations. There are three fundamentally novel aspects to this work. First, it will demonstrate the potential to transfer information from biological systems to microelectronic systems and the reverse, forming the basis for bioelectronic integrated computing systems. Second, it will demonstrate electronically-controlled synthesis of a novel, reliable and stable biological memory device. Third, it will develop a technological framework for the development of bio-hybrid computing devices that efficiently sense and process chemical information as well as operate within and control complex biological systems.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.

RE-BIONICS项目（基于分子通信的氧化还原生物电子学）的目标是创造第一种生物电子学设备，这种设备将在生物学和电子学之间快速便捷地进行信息交换。这些设备将有可能改变医疗保健，实现远程监测和远程/自主药物输送，并促进农业和网络防御领域的环境监测，在这些领域，将生物现象与电子设备联系起来非常重要。这项工作的技术基础认识到，微电子设备依赖于电子进行信息处理，而生物学依赖于分子（如胰岛素、抗体）。这些系统在本质上并不兼容，因为生物学中没有自由电子可以传输到生物导线和控制基于细胞的电子电路。相反，人们设想的生物混合装置可以通过电子-分子的鸿沟传递信息。需要新的界面来接受生物分子并为设备创造电子，反之亦然。在RE-BIONICS内部设计和构建的这种集成系统将能够进行存储和计算的双向通信。该项目将构建构建生物混合设备所需的组件和信息理论，这些设备最终可以嵌入生物系统并提供电子控制。除了建立设计和构建全新生物设备的能力之外，这项工作最重要的方面是它将汇集来自许多学科的研究人员和利益相关者，包括生物学，化学，材料科学，计算机，电气，化学和生物工程。该项目建立在跨学科的基础上，研究团队来自计算机科学、电子工程和生物工程。研究方向包括计算机科学与信息理论、微机电系统、生物制造与氧化还原生物学、合成生物学等。此外，来自UMD和UNL的两个跨学科本科生团队将参加国际基因工程机器（iGEM）计划和竞赛，并参加针对UNL未来问题解决计划（FPSPI）中初高中学生的具体外展活动。此外，这个项目将促进女性的参与，她们在电气工程领域的历史代表性不足，而不仅仅是生物学和生物工程专业。RE-BIONICS的研究人员还将与包括NIST、FDA和陆军研究实验室在内的联邦机构进行互动，以接触制造和监管问题，以及国家安全等直接应用领域。该项目利用了还原-氧化（氧化还原）介质，这些介质是电子学中自由电子的生物等价物。这些反应代表了生物内部传递的信息包。该项目分为三个具体目标。在目标1中，该团队将设计、构建和测试促进信息从生物系统的分子传递到微电子系统的电子和相反的设备元件。利用合成生物学的原理，细菌细胞将被改造以识别小的信号分子，一个例子是由机会性病原体铜绿假单胞菌分泌的花青素。基于这种识别，这些和其他工程传感细胞将产生-半乳糖苷酶，一种可以电化学量化的酶。此外，细胞将被改造成接受来自设备的电子，并以一种程序化的方式，“开启”可以调节细胞行为的基因表达。在目标2中，该团队将设计并构建一个基于生物聚合物黑色素的生物读写存储设备，该设备可以通过生物和电子方式访问。在Aim 3中，该团队将整合这些元素，创建生物混合电路，如生物电逻辑门，生物到电子到生物信号系统，最终形成一个电子控制设备，可以解释分子信息，计算期望的结果，并通过电子驱动细胞发出信号和控制生物种群。这项工作有三个基本新颖的方面。首先，它将展示将信息从生物系统转移到微电子系统和反之的潜力，形成生物电子综合计算系统的基础。第二，展示一种新型、可靠、稳定的生物记忆装置的电控合成。第三，它将开发一种技术框架，用于开发生物混合计算设备，这种设备可以有效地感知和处理化学信息，并在复杂的生物系统中运行和控制。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。

项目成果

期刊论文数量（30）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Homologous Quorum Sensing Regulatory Circuit: A Dual-Input Genetic Controller for Modulating Quorum Sensing-Mediated Protein Expression in E. coli.

DOI：
10.1021/acssynbio.0c00179
发表时间：
2020-10-16
期刊：
ACS synthetic biology
影响因子：
4.7
作者：
Hauk P;Stephens K;Virgile C;VanArsdale E;Pottash AE;Schardt JS;Jay SM;Sintim HO;Bentley WE
通讯作者：
Bentley WE

Catechol Patterned Film Enables the Enzymatic Detection of Glucose with Cell Phone Imaging

DOI：
10.1021/acssuschemeng.1c04896
发表时间：
2021-10
期刊：
ACS Sustainable Chemistry & Engineering
影响因子：
8.4
作者：
Si Wu;J. Rzasa;Eunkyoung Kim;Zhiling Zhao;Jinyang Li;W. Bentley;N. N. Payne-N.;Xiaowen Shi;G. Payne
通讯作者：
Si Wu;J. Rzasa;Eunkyoung Kim;Zhiling Zhao;Jinyang Li;W. Bentley;N. N. Payne-N.;Xiaowen Shi;G. Payne

Hydrogel Patterning with Catechol Enables Networked Electron Flow

DOI：
10.1002/adfm.202007709
发表时间：
2021-01
期刊：
Advanced Functional Materials
影响因子：
19
作者：
Si Wu;Zhiling Zhao;J. Rzasa;Eunkyoung Kim;Jinyang Li;Eric VanArsdale;W. Bentley;Xiaowen Shi;G. Payne
通讯作者：
Si Wu;Zhiling Zhao;J. Rzasa;Eunkyoung Kim;Jinyang Li;Eric VanArsdale;W. Bentley;Xiaowen Shi;G. Payne

A redox-based electrogenetic CRISPR system to connect with and control biological information networks