CAREER: A CMOS Multi-Modality Cellular Interfacing Platform for Drug Screening and Stem Cell Culture
事业:用于药物筛选和干细胞培养的 CMOS 多模态细胞接口平台
基本信息
- 批准号:1454555
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-03-01 至 2021-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1. Title: CAREER: A CMOS Multi-Modality Cellular Interfacing Platform for Drug Screening and Stem Cell Culture2. Brief Description of Project Goals: This CAREER project investigates CMOS cellular interfacing arrays with novel pixelated multi-modality sensors/actuators and explores their use in transformative bioscience.3. Abstract:a) Nontechnical Abstract: Fully understanding the physiological behaviors of cells is a prerequisite to further advance the frontiers in bioscience. Existing sensors and actuators are mostly of single-modality, which can only process one single type of physical signals, e.g., electrochemical, from the cells. However, cells are highly complex systems with numerous molecules operating in hundreds of pathways to maintain proper functions and phenotypes. At this scale of complexity, cells often undergo concurrent multi-physics responses, which cannot possibly be explored by single-modality platforms. This technology constraint poses a fundamental limit on the ?communication link? between the electronics and cells/tissues. Moreover, many sensors and actuators require exotic processing steps, limiting their cost, yield, and scalability in mass production.To address these challenges, this CAREER project focuses on innovating sensor/actuator technologies as large-scaled arrays with novel pixel-level multi-modality sensing/actuation functionalities. Such microelectronics interfaces allow interrogating and stimulating living cells/tissues via multi-physics signaling at a high spatiotemporal resolution. Low-cost CMOS (Complementary-Metal-Oxide-Semiconductor) processes, widely used for manufacturing CPU and memory chips, will be employed to ensure high-integration, low-cost, and high-yield.The proposed CMOS multi-modality cellular interfacing platform will lead to broad societal impacts. For example, capturing the complex cellular responses may substantially increase the throughput in drug development. As another example, real-time monitoring the stem cell and enhancing the desired cell differentiation trajectories may drastically improve the purity in large-scale stem cell manufacturing and enable low-cost stem cell therapies. In addition, the cellular interfacing platform may serve as a novel research tool for new scientific discoveries.The interdisciplinary nature of this CAREER project makes it an excellent opportunity for education and outreach activities. The PI proposes a ?Vertical Teaming Approach? to systematically integrate different education components from K-12 to graduate levels. These components include mentoring high school teachers to enhance their curricula, performing remote lab demos to high school students in distance learning programs, and enriching undergraduate/graduate learning and research. The PI will also develop a Makers Electronics club at Georgia Tech to provide electronics training/innovation opportunities to local high school students and inspire their interest to pursue STEM fields. This program will be integrated with the existing NSF funded outreach programs at Georgia Tech.b) Technical Abstract: The goal of this CAREER project is to investigate novel multi-modality sensor and actuator technologies to interface with complex biological systems, e.g., living cells and tissues, and explore the use of these technologies in transformative bioscience and biotechnologies.The research activities include the following key components. First, the modeling, design, and prototyping of multi-modality cellular sensor and actuator arrays will be performed. Different device-level designs and circuit-level techniques will be investigated to achieve sensor/actuator front-ends with high pixel density and low power operation. On-chip data convertors as well as on-chip signal processing/conditioning circuitries will be employed. Next, low-cost, scalable, and biocompatible packaging solutions will be studied, so that the CMOS multi-modality cellular interfacing chips can be hosted in a standard form-factor fully compatible with existing cellular assays. Finally, the PI will demonstrate the use of the CMOS multi-modality cellular interfacing platform in various cellular assays. In particular, the experiments will focus on enhancing cell-based drug/chemical screening and stem-cell culture processes.The research activities in this CAREER project will explore and establish multi-modality sensors/actuators as a new paradigm of biosensors and actuators. Such technologies will enable unprecedented concurrent multi-physical signaling with living cells/tissues and will eventually pave the way toward hybrid bioelectronics systems in the future.
1. 题目:职业:用于药物筛选和干细胞培养的CMOS多模态细胞接口平台2。项目目标简述:本职业项目研究具有新型像素化多模态传感器/执行器的CMOS细胞接口阵列,并探索其在变革性生物科学中的应用。摘要:充分了解细胞的生理行为是进一步推进生物科学前沿的前提。现有的传感器和执行器大多是单模态的,只能处理来自电池的单一类型的物理信号,例如电化学信号。然而,细胞是高度复杂的系统,有许多分子在数百种途径中运作,以维持适当的功能和表型。在这种复杂的规模下,细胞经常经历并发的多物理场响应,这是单模态平台不可能探索的。这一技术约束对?通信链路?在电子和细胞/组织之间。此外,许多传感器和执行器需要特殊的处理步骤,限制了它们在大规模生产中的成本、产量和可扩展性。为了应对这些挑战,该CAREER项目专注于创新传感器/执行器技术,作为具有新颖像素级多模态传感/执行功能的大型阵列。这种微电子接口允许在高时空分辨率下通过多物理场信号询问和刺激活细胞/组织。低成本CMOS(互补金属氧化物半导体)工艺,广泛用于制造CPU和存储芯片,将确保高集成度,低成本和高产量。提出的CMOS多模态蜂窝接口平台将产生广泛的社会影响。例如,捕获复杂的细胞反应可能会大大增加药物开发的吞吐量。另一个例子是,实时监测干细胞并增强所需的细胞分化轨迹可能会大大提高大规模干细胞制造的纯度,并使低成本干细胞治疗成为可能。此外,细胞界面平台可以作为一种新的研究工具,用于新的科学发现。这个CAREER项目的跨学科性质使其成为教育和推广活动的绝佳机会。PI提出了一个?垂直团队方法?系统地整合从K-12到研究生阶段的不同教育组成部分。这些组成部分包括指导高中教师改进他们的课程,在远程学习项目中向高中生进行远程实验室演示,以及丰富本科/研究生的学习和研究。PI还将在佐治亚理工学院建立一个制造商电子俱乐部,为当地高中生提供电子培训/创新机会,激发他们追求STEM领域的兴趣。技术摘要:本CAREER项目的目标是研究与复杂生物系统(如活细胞和组织)相结合的新型多模态传感器和执行器技术,并探索这些技术在变革性生物科学和生物技术中的应用。研究活动包括以下关键组成部分。首先,将进行多模态蜂窝传感器和执行器阵列的建模、设计和原型设计。将研究不同的器件级设计和电路级技术,以实现高像素密度和低功耗操作的传感器/执行器前端。片上数据转换器以及片上信号处理/调理电路将被采用。接下来,将研究低成本、可扩展和生物相容的封装解决方案,以便CMOS多模态细胞接口芯片可以在标准的形状因素中承载,与现有的细胞分析完全兼容。最后,PI将演示CMOS多模态细胞接口平台在各种细胞分析中的使用。特别是,实验将集中在加强基于细胞的药物/化学筛选和干细胞培养过程。本项目的研究活动将探索和建立多模态传感器/致动器,作为生物传感器和致动器的新范式。这些技术将实现前所未有的与活细胞/组织并发的多物理信号,并最终为未来的混合生物电子系统铺平道路。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hua Wang其他文献
Depletion of H3K79 methyltransferase Dot1L promotes cell invasion and cancer stem-like cell property in ovarian cancer.
H3K79 甲基转移酶 Dot1L 的耗竭可促进卵巢癌中的细胞侵袭和癌症干细胞样细胞特性。
- DOI:
- 发表时间:
2019-02 - 期刊:
- 影响因子:2.2
- 作者:
Xian Wang;Hua Wang;Bo Xu;Dongrui Jiang;Shan Huang;Hongzhen Yu;Zhengsheng Wu;Qiang Wu - 通讯作者:
Qiang Wu
Learning-Based Wireless Powered Secure Transmission
基于学习的无线供电安全传输
- DOI:
10.1109/lwc.2018.2881976 - 发表时间:
2019-04 - 期刊:
- 影响因子:6.3
- 作者:
Dongxuan He;Chenxi Liu;Hua Wang;Tony Q. S. Quek - 通讯作者:
Tony Q. S. Quek
Effectiveness of tenofovir and entecavir in nucleos(t)ide analogue-naive chronic hepatitis B
替诺福韦和恩替卡韦治疗首次使用核苷(酸)类似物的慢性乙型肝炎的疗效
- DOI:
10.1097/md.0000000000016943 - 发表时间:
2019 - 期刊:
- 影响因子:1.6
- 作者:
Mao;Hua Wang;Qi;Xu;Jin;Yun;M. Yue - 通讯作者:
M. Yue
Beneficial effects of galanin system on diabetic peripheral neuropathic pain and its complications
甘丙肽系统对糖尿病周围神经病理性疼痛及其并发症的有益作用
- DOI:
10.1016/j.peptides.2020.170404 - 发表时间:
2020-09 - 期刊:
- 影响因子:3
- 作者:
Mei Yu;Penghua Fang;Hua Wang;Guiqin Shen;Zhenwen Zhang;Zongxiang Tang - 通讯作者:
Zongxiang Tang
The cytoplasmic loop of AgrC contributes to the quorum-sensing activity of Staphylococcus aureus
AgrC 的细胞质环有助于金黄色葡萄球菌的群体感应活性
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Qian Huang;Yihui Xie;Ziyu Yang;Danhong Cheng;Lei He;Hua Wang;Qian Liu;Min Li - 通讯作者:
Min Li
Hua Wang的其他文献
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{{ truncateString('Hua Wang', 18)}}的其他基金
CAREER: Rational Design of Immune Cell-Homing Biomaterials for Immune Regulation
职业:用于免疫调节的免疫细胞归巢生物材料的合理设计
- 批准号:
2143673 - 财政年份:2022
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
S&AS: INT: COLLAB: An Intelligence-Driven Patient Care Approach to Reduce Medical Errors (I-CARE)
S
- 批准号:
1849359 - 财政年份:2019
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CAREER: Robust Brain Imaging Genomics Data Mining Framework for Improved Cognitive Health
职业:用于改善认知健康的强大脑成像基因组数据挖掘框架
- 批准号:
1652943 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
Technical Exchange Meeting on Semiconductor Platforms for Synthetic Biology and Hybrid Bioelectronic Systems, July27-28,2016 at Georgia Institute of Technology in Atlanta, GA
合成生物学和混合生物电子系统半导体平台技术交流会,2016 年 7 月 27 日至 28 日在佐治亚州亚特兰大佐治亚理工学院举行
- 批准号:
1642181 - 财政年份:2016
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: A Hybrid Biological-Microelectronic Pacemaker
合作研究:混合生物微电子起搏器
- 批准号:
1610677 - 财政年份:2016
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
III: Small: Collaborative Research: Robust Materials Genome Data Mining Framework for Prediction and Guidance of Nanoparticle Synthesis
III:小型:协作研究:用于预测和指导纳米颗粒合成的稳健材料基因组数据挖掘框架
- 批准号:
1423591 - 财政年份:2014
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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