Collaborative Research: Towards High-Throughput Label-Free Circulating Tumor Cell Separation using 3D Deterministic Dielectrophoresis (D-Cubed)
Collaborative Research: Towards High-Throughput Label-Free Circulating Tumor Cell Separation using 3D Deterministic Dielectrophoresis (D-Cubed)
批准号:
1917295
负责人:
Jie Xu
金额:
$27.77万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-07-01 至 2023-06-30
中文摘要
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英文摘要
Circulating tumor cells are increasingly recognized as predictive biomarkers in early cancer detection; therefore, detecting circulating tumor cells in the peripheral blood of patients has important implications for clinical applications, which include early cancer detection as well as diagnoses and prediction of cancer progression. If viable unmodified circulating tumor cells can be separated from whole blood, then subsequent clinical analysis of these cells can lead to personalized cancer treatment. However, due to the extreme rarity of circulating tumor cells, a successful separation technology must meet the performance metrics of high-throughput, high-sensitivity, high-purity, and high-viability simultaneously to be useful - a goal that has never been achieved. To tackle these performance metrics, this project utilizes a novel threefold method called Three-Dimensional Deterministic Dielectrophoresis. Currently, the combined effects of three-dimensional geometry, deterministic lateral displacement and dielectrophoresis in a cell separation process represent a gap in research. Through this research, comprehensive understanding of the interplay between fluid mechanics, cell deformation, dielectrophoretic forces, and deterministic lateral displacement structures will be gained, which will lead to much improved sensitivity, purity, and cell viability at high-throughput - all requirements to be met at the same time. Additionally, the project will have a significant impact on a large number of underrepresented students in technical fields at both University of Illinois at Chicago (a federally designated Minority Serving Institution) and Washington State University Vancouver (a Research in Undergraduate Institutions eligible institution and the only four-year research university in southwest Washington). The Three-Dimensional Deterministic Dielectrophoresis method brings a transformative impact by creating meaningful and valuable links between previously unconnected ideas and domain knowledge - namely deterministic lateral displacement, dielectrophoresis, and three-dimensional printing - potentially disrupting and outperforming all existing alternatives. However, in order to make the method truly useful for medical practice, fundamental knowledge about the separation process must be gained. This breaks down into three research objectives: 1) Study cell transport, cell-obstacle collision dynamics, and cell dielectrophoresis in periodic obstacle arrays using predictive models with experimental validations; 2) Fabricate Three-Dimensional Deterministic Dielectrophoresis devices and characterize how different obstacle shapes, geometries, obstacle array patterns, dielectrophoresis field parameters, carrier fluids and flow rates influence the cell separation performance; 3) Characterize circulating tumor cell separation performance for lung tumor cells against the four performance metrics above. This proposed research is significant because the multiphysics numerical models will elucidate scientific mechanisms of the complex separation principles of this method, which will guide experimental realization of a microfluidic device for high-throughput label-free circulating tumor cell separation. The research is unique in that dielectrophoresis will be combined with deterministic lateral displacement in a three-dimensional micro-structure for the first time, which is enabled by state-of-the-art nano three-dimensional printing technology. The research outcomes here have important implications for clinical applications including early cancer detection as well as diagnosis and prediction of cancer progression, as circulating tumor cells are increasingly recognized as predictive biomarkers in early stage cancer.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Separation of Non-Viable Chinese Hamster Ovary (CHO) Cells Using Dielectrophoresis in a Deterministic Lateral Displacement Ratchet
使用确定性横向位移棘轮中的介电泳分离无活力的中国仓鼠卵巢 (CHO) 细胞
DOI:
10.1115/imece2020-23520
发表时间:
2020
期刊:
Proceedings of ASME 2020 International Mechanical Engineering Congress and Exposition
影响因子:
--
作者:
[Khan, Mohammed, Chen, Xiaolin, Xu, Jie]
通讯作者:
Xu, Jie
DOI:
10.1016/j.snb.2022.131611
发表时间:
2022-02
期刊:
Sensors and Actuators B: Chemical
影响因子:
--
作者:
[Mengren Wu;Yuan Gao;A. Ghaznavi;Weiqi Zhao;Jie Xu]
通讯作者:
Mengren Wu;Yuan Gao;A. Ghaznavi;Weiqi Zhao;Jie Xu
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批准号:2319780
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项目类别:Standard Grant
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资助金额:$22.5万
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财政年份:2023
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依托单位:
Elucidating Mechanisms of Metal Sulfide-Enabled Growth of Anoxygenic Photosynthetic Bacteria Using Transcriptomic, Aqueous/Surface Chemical, and Electron Microscopic Tools
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批准号:2311021
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项目类别:Standard Grant
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资助金额:$59.07万
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财政年份:2023
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负责人:Jie Xu
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SAI-R: Strengthening American Electricity Infrastructure for an Electric Vehicle Future: An Energy Justice Approach
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批准号:2228603
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项目类别:Standard Grant
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资助金额:$75.0万
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财政年份:2022
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负责人:Jie Xu
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依托单位:
CAREER: Wireless InferNets: Enabling Collaborative Machine Learning Inference on the Network Path
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批准号:2044991
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:2021
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负责人:Jie Xu
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Collaborative Research: SWIFT: SMALL: Understanding and Combating Adversarial Spectrum Learning towards Spectrum-Efficient Wireless Networking
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批准号:2029858
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项目类别:Standard Grant
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资助金额:$18.2万
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财政年份:2020
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负责人:Jie Xu
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依托单位:
CCSS: Collaborative Research: Towards a Resource Rationing Framework for Wireless Federated Learning
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批准号:2033681
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2020
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负责人:Jie Xu
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依托单位:
Collaborative Research: CNS Core: Small: Towards Automated and QoE-driven Machine Learning Model Selection for Edge Inference
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批准号:2006630
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2020
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负责人:Jie Xu
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依托单位:
Collaborative Research: Improving Power Grids Weather Resilience through Model-free Dimension Reduction and Stochastic Search for Optimal Hardening
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批准号:1923145
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项目类别:Standard Grant
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资助金额:$7.25万
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财政年份:2019
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负责人:Jie Xu
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依托单位:
Collaborative Research: NSF/ENG/ECCS-BSF: Complex liquid droplet structures as new optical and optomechanical materials
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批准号:1711798
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项目类别:Standard Grant
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资助金额:$14.81万
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财政年份:2017
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负责人:Jie Xu
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依托单位:
EAGER-Dynamic Data: A New Scalable Paradigm for Optimal Resource Allocation in Dynamic Data Systems via Multi-Scale and Multi-Fidelity Simulation and Optimization
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批准号:1462409
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项目类别:Standard Grant
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资助金额:$24.94万
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财政年份:2015
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负责人:Jie Xu
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依托单位:
WRG Phase III: The White Rose Grid e-Science Centre
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批准号:EP/F057644/1
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项目类别:Research Grant
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资助金额:$81.99万
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财政年份:2008
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负责人:Jie Xu
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依托单位:
The White Rose Grid e-Science Centre
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批准号:EP/D055334/1
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项目类别:Research Grant
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资助金额:$34.67万
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财政年份:2006
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负责人:Jie Xu
-
依托单位:
CoLab: e-Science Collaboration between Leeds and Beihang in China For Grid-Enabled Visualisation Applications
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批准号:EP/D077249/1
-
项目类别:Research Grant
-
资助金额:$9.79万
-
财政年份:2006
-
负责人:Jie Xu
-
依托单位:
国内基金
海外基金
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