Collaborative Research: Towards High-Throughput Label-Free Circulating Tumor Cell Separation using 3D Deterministic Dielectrophoresis (D-Cubed)

合作研究:利用 3D 确定性介电泳 (D-Cubed) 实现高通量无标记循环肿瘤细胞分离

基本信息

  • 批准号:
    1917295
  • 负责人:
  • 金额:
    $ 27.77万
  • 依托单位:
  • 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
  • 起止时间:
    2019-07-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

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.
在早期癌症检测中,循环肿瘤细胞越来越多地被认为是预测性生物标志物。因此,检测患者外周血中循环肿瘤细胞对临床应用具有重要意义,其中包括早期癌症检测以及诊断和预测癌症的进展。如果可以将无效的未修饰的循环肿瘤细胞与全血分离,那么这些细胞的随后临床分析可能会导致个性化的癌症治疗。但是,由于循环肿瘤细胞的极端稀有性,成功的分离技术必须满足高通量,高敏感性,高纯度和高可变性的高率指标,同时有用 - 这一目标是从未实现的目标。为了应对这些性能指标,该项目采用了一种新型的三倍方法,称为三维确定性介电性电泳。当前,在细胞分离过程中,三维几何形状,确定性侧向位移和介电的综合作用代表了研究中的差距。通过这项研究,将获得对流体力学,细胞变形,介电摄取力和确定性的侧向位移结构之间相互作用的全面了解,这将导致高通量的灵敏度,纯度和细胞活力,同时满足所有需求。此外,该项目将对伊利诺伊大学芝加哥大学(联邦指定的少数民族服务机构)和华盛顿州立大学温哥华的伊利诺伊大学技术领域的大量代表性不足的学生产生重大影响。三维确定性的介电性方法通过在先前未连接的思想和领域知识之间建立有意义的有价值的联系(即确定性确定性的侧向位移,介电型和三维印刷),从而带来了变革性的影响 - 潜在的破坏和超越了所有现有替代方案。但是,为了使该方法对医学实践真正有用,必须获得有关分离过程的基本知识。这将分为三个研究目标:1)使用具有实验验证的预测模型研究细胞运输,细胞孔碰撞动力学和细胞介电的细胞介电流体; 2)制造三维确定性的介电性电泳设备,并表征不同的障碍物形状,几何形状,障碍物阵列模式,介电型电池磁场参数,载体流体和流速如何影响细胞分离性能; 3)表征肺部肿瘤细胞的循环肿瘤细胞分离性能与上述四个性能指标。这项提出的研究具有重要意义,因为多物理数值模型将阐明该方法的复杂分离原理的科学机制,该机制将指导微流体设备的实验实现,以实现高通量标记的无循环肿瘤细胞分离。这项研究的独特之处在于,电介型将首次与三维微型结构中的确定性横向位移相结合,这是由最先进的纳米三维印刷技术启用的。这里的研究结果对临床应用具有重要意义,包括早期癌症检测以及诊断和预测癌症的进展,因为循环肿瘤细胞越来越被认为是早期癌症的预测性生物标志物。这项奖项反映了NSF的法定任务,并通过使用该基金会的知识优点和广泛影响来评估来表现出值得通过评估来进行评估。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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
AC electroosmosis micromixing on a lab-on-a-foil electric microfluidic device
  • DOI:
    10.1016/j.snb.2022.131611
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    0
  • 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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Jie Xu其他文献

Acute myeloid leukemia with t(8;21)(q22;q22.1)/RUNX1-RUNX1T1 and KIT Exon 8 mutation is associated with characteristic mastocytosis and dismal outcomes.
具有 t(8;21)(q22;q22.1)/RUNX1-RUNX1T1 和 KIT 外显子 8 突变的急性髓系白血病与特征性肥大细胞增多症和不良结局相关。
鉄触媒によるアルキル化を伴う分子内環化反応を利用した含酸素複素環式化合物の合成
铁催化烷基化分子内环化反应合成含氧杂环化合物
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Masayuki Iwasaki;Jie Xu;Yukari Tani;Liyan Fu;Yuichi Ikemoto;Yasuyuki Ura;Yasushi Nishihara;風尾靖喜,岩﨑真之,西原康師
  • 通讯作者:
    風尾靖喜,岩﨑真之,西原康師
Interactions between ultrasonographic cervical length and placenta accreta spectrum on severe postpartum hemorrhage in women with placenta previa
超声宫颈长度与植入性胎盘谱之间的相互作用对前置胎盘妇女严重产后出血的影响
Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods
使用算法公平方法量化佛罗里达州尿路感染复发和治疗耐药性的种族差异
Design Challenges and Guidelines for Persuasive Technologies that Facilitate Healthy Lifestyles.
促进健康生活方式的说服性技术的设计挑战和指南。

Jie Xu的其他文献

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{{ truncateString('Jie Xu', 18)}}的其他基金

Elucidating Mechanisms of Metal Sulfide-Enabled Growth of Anoxygenic Photosynthetic Bacteria Using Transcriptomic, Aqueous/Surface Chemical, and Electron Microscopic Tools
使用转录组、水/表面化学和电子显微镜工具阐明金属硫化物促进不产氧光合细菌生长的机制
  • 批准号:
    2311021
  • 财政年份:
    2023
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
Collaborative Research: CCSS: Hierarchical Federated Learning over Highly-Dense and Overlapping NextG Wireless Deployments: Orchestrating Resources for Performance
协作研究:CCSS:高密度和重叠的 NextG 无线部署的分层联合学习:编排资源以提高性能
  • 批准号:
    2319780
  • 财政年份:
    2023
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
SAI-R: Strengthening American Electricity Infrastructure for an Electric Vehicle Future: An Energy Justice Approach
SAI-R:加强美国电力基础设施以实现电动汽车的未来:能源正义方法
  • 批准号:
    2228603
  • 财政年份:
    2022
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
CAREER: Wireless InferNets: Enabling Collaborative Machine Learning Inference on the Network Path
职业:无线推理网:在网络路径上实现协作机器学习推理
  • 批准号:
    2044991
  • 财政年份:
    2021
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Continuing Grant
Collaborative Research: SWIFT: SMALL: Understanding and Combating Adversarial Spectrum Learning towards Spectrum-Efficient Wireless Networking
合作研究:SWIFT:SMALL:理解和对抗对抗性频谱学习以实现频谱高效的无线网络
  • 批准号:
    2029858
  • 财政年份:
    2020
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
CCSS: Collaborative Research: Towards a Resource Rationing Framework for Wireless Federated Learning
CCSS:协作研究:无线联邦学习的资源配给框架
  • 批准号:
    2033681
  • 财政年份:
    2020
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Towards Automated and QoE-driven Machine Learning Model Selection for Edge Inference
合作研究:CNS 核心:小型:面向边缘推理的自动化和 QoE 驱动的机器学习模型选择
  • 批准号:
    2006630
  • 财政年份:
    2020
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Power Grids Weather Resilience through Model-free Dimension Reduction and Stochastic Search for Optimal Hardening
合作研究:通过无模型降维和随机搜索优化强化来提高电网的耐候能力
  • 批准号:
    1923145
  • 财政年份:
    2019
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF/ENG/ECCS-BSF: Complex liquid droplet structures as new optical and optomechanical materials
合作研究:NSF/ENG/ECCS-BSF:复杂液滴结构作为新型光学和光机械材料
  • 批准号:
    1711798
  • 财政年份:
    2017
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant
EAGER-Dynamic Data: A New Scalable Paradigm for Optimal Resource Allocation in Dynamic Data Systems via Multi-Scale and Multi-Fidelity Simulation and Optimization
EAGER-动态数据:通过多尺度和多保真度仿真和优化实现动态数据系统中最佳资源分配的新可扩展范式
  • 批准号:
    1462409
  • 财政年份:
    2015
  • 资助金额:
    $ 27.77万
  • 项目类别:
    Standard Grant

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合作研究:海洋到内陆向对流引发环境的转变(MITTEN CI)
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    2411152
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  • 批准号:
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    2024
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    $ 27.77万
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