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CAREER: Integrated Optofluidic Chips towards Label-Free Detection of Exosomal MicroRNA Biomarkers

CAREER: Integrated Optofluidic Chips towards Label-Free Detection of Exosomal MicroRNA Biomarkers
职业:集成光流控芯片实现外泌体 MicroRNA 生物标志物的无标记检测
批准号:
1847324
负责人:
Chao Wang
金额:
$50.0万
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
项目状态:
已结题
起止时间:
2019-07-01 至 2024-06-30

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中文摘要
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英文摘要
Cancer is a major global cause of morbidity and mortality. With the increasing heterogeneity and complexity observed in cancers, the need for accurate diagnosis and molecular monitoring of disease progression has become more important than ever. Liquid biopsy of microscopic vesicles from our cells circulating in human bodily fluids is a promising, inexpensive, and minimally invasive approach for cancer diagnosis and personalized medical treatment. Particularly, detecting the biomolecules carried by these vesicles, including nucleic acids encoding genetic information, has emerged as a promising strategy for early diagnosis. However, the existing diagnostic tools for such technologies lack the needed sensitivity, specificity, speed, and cost-effectiveness necessary to become clinically viable. This CAREER proposal fully exploits the cutting-edge development in small-scale technologies such as nanophotonics, nanofluidics, and biosensing to provide novel solutions for the detection of diagnostic nucleic acids from clinical samples with an improved sensitivity, reduced sample volume, and decreased analysis time. The success of the proposed technology will have significant impact on early-stage diagnosis as well as prognosis and management of diseases, including cardiovascular diseases, autoimmune syndromes, neurodegenerative disorders, and infectious diseases. By integrating research and education, the project will promote public awareness of the importance of nanobiotechnology in health care, and to cultivate the next-generation of scientists and engineers in nanotechnology and biosensing to address grand challenges in affordable and portable disease diagnosis. Further, this project aims to attract the participation of K-12 students and underrepresented individuals (e.g., female and Native American students) in STEM careers. The research objective of this CAREER proposal is to validate the hypothesis that an integrated and multiplexed optofluidic platform can accurately detect exosomal miRNAs. In pursuit of this goal, a nanofluidic chip (ExoMiRChip) will be designed to functionally integrate label-free exosome purification, on-chip exosomal miRNA extraction, and plasmonic miRNA sensing. Theories and experiments will be combined to address fundamental challenges in achieving high-resolution and high-throughput exosome nanoparticle sorting, high-sensitivity and high-specificity miRNA detection, and multi-functional integration of nanofluidic systems. This project will explore scientific unknowns in exosome nanoparticle fluidic dynamics at the nanometer scale, and aim to comprehensively elucidate the limiting factors in on-chip exosome purification. The project will innovate optically coupled ultrasensitive plasmonic nanosensors functionalized with sequence-specific locked nucleic acid (LNA) probes, and use them to identify the critical factors affecting accurate detection of exosomal miRNA, including the plasmonic sensor design, nanostructure fabrication, miRNA molecular concentration, and the miRNA selectivity. Successful nanofluidic integration on the ExoMiRChip will significantly reduce sample volume in diagnosis (from milliliters to microliters), minimize bias and contamination, improve diagnosis speed (estimated from days/weeks to hours), and potentially enable multiplexed biomarker detection. We expect the project to be transformative in future biosensing and applicable to a wide variety of biomolecules.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(5)
专著(0)
科研奖励(0)
会议论文
Picomolar-Level Sensing of Cannabidiol by Metal Nanoparticles Functionalized with Chemically Induced Dimerization Binders
通过化学诱导二聚化粘合剂功能化的金属纳米颗粒对大麻二酚进行皮摩尔水平传感
DOI: 10.1021/acssensors.3c01758
发表时间: 2023
期刊: ACS Sensors
影响因子: 8.9
作者: [Ikbal, M. D., Kang, Shoukai, Chen, Xiahui, Gu, Liangcai, Wang, Chao]
通讯作者: Wang, Chao
Sapphire-supported nanopores for low-noise DNA sensing
用于低噪声 DNA 传感的蓝宝石支撑纳米孔
DOI: 10.1016/j.bios.2020.112829
发表时间: 2021
期刊: Biosensors and Bioelectronics
影响因子: 12.6
作者: [Xia, Pengkun, Zuo, Jiawei, Paudel, Pravin, Choi, Shinhyuk, Chen, Xiahui, Rahman Laskar, Md Ashiqur, Bai, Jing, Song, Weisi, Im, JongOne, Wang, Chao]
通讯作者: Wang, Chao
DOI: 10.1007/s12274-021-3661-z
发表时间: 2021-04
期刊: Nano Research
影响因子: 9.9
作者: [Zhi Zhao;Xiahui Chen;Jiawei Zuo;A. Basiri;Shinhyuk Choi;Yu Yao;Yan Liu;Chao Wang]
通讯作者: Zhi Zhao;Xiahui Chen;Jiawei Zuo;A. Basiri;Shinhyuk Choi;Yu Yao;Yan Liu;Chao Wang
Collaborative Research: FW-HTF-R: Wearable Safety Sensing and Assistive Robot-Worker Collaboration for an Augmented Workforce in Construction
  • 批准号:
    2222881
  • 项目类别:
    Standard Grant
  • 资助金额:
    $72.0万
  • 财政年份:
    2022
  • 负责人:
    Chao Wang
  • 依托单位:
Collaborative Research: FMitF: Track I: A Principled Approach to Modeling and Analysis of Hardware Fault Attacks on Embedded Software
  • 批准号:
    2220345
  • 项目类别:
    Standard Grant
  • 资助金额:
    $37.5万
  • 财政年份:
    2022
  • 负责人:
    Chao Wang
  • 依托单位:
NSF-BSF: Synchronous electro-optical DNA detection using low-noise dielectric nanopores on sapphire
  • 批准号:
    2020464
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.0万
  • 财政年份:
    2020
  • 负责人:
    Chao Wang
  • 依托单位:
FW-HTF-P: Collaborative Research: Wearable Safety and Health Assistive Robot Collaboration for Skilled Construction Workers
  • 批准号:
    2026575
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.0万
  • 财政年份:
    2020
  • 负责人:
    Chao Wang
  • 依托单位:
国内基金
海外基金
greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
焦虑症小鼠模型整合模式(Integrated) 行为和精细行为评价体系的构建