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Collaborative Research: Silicon Nano-Opto-Fluidics Enabled Multi-Dimensional, High-Throughput Molecular and Size Profiling of Exosomes

Collaborative Research: Silicon Nano-Opto-Fluidics Enabled Multi-Dimensional, High-Throughput Molecular and Size Profiling of Exosomes
合作研究:硅纳米光流控技术实现了外泌体的多维、高通量分子和尺寸分析
批准号:
1711412
负责人:
Chao Wang
金额:
$16.93万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2020-06-30

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中文摘要
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英文摘要
Liquid biopsy has significant advantages over traditional tumor biopsies, because it is minimally invasive and uses biofluids, such as blood and urine, to diagnose cancer and other diseases in their early stages. Exosomes, which are actively secreted from cancer cells, carry molecular constituents of their originating cells. Because these membranous extracellular vesicles can serve as cellular surrogates, exosomes have emerged as a new type of potent biomarkers. However, conventional exosome analysis methods such as immunoblotting or enzyme-linked immunosorbent assays are costly and require approximately twelve hours and excessive volumes of serum to detect transmembrane proteins on the surface of exosomes. Exosome separation requires complex steps to remove debris or cellular components that will confound downstream analysis. High-throughput molecular profiling of exosomes using miniature label-free biosensors is not available. The goal of this project is to develop a new capability to rapidly screen and profile exosomes based on both molecular and size characteristics. This research will lead to a transformative change in exosome analysis by integrating two state-of-the-art technologies on a single silicon chip. In addition, this research will be integrated with education through adding new lab modules to existing undergraduate biomedical engineering minor program curriculum, recruiting female students, and providing summer internship opportunities to African-American students to participate in the project at Iowa State University, and developing a new undergraduate-level course related to nanobiotechnology at Arizona State University. The project will lead to an integrated silicon-based nano-opto-fluidic platform for rapidly and continuously profiling of both molecular and size features of exosomes. Cascaded nanoscale deterministic lateral displacement pillar arrays will be developed to simplify the isolation and size profiling of exosomes. The exosomes will be effectively separated from interference molecules present in the fluid sample. High-performance lateral flow-through optical biosensors will be developed to quantify the separated exosomes. The exosome samples can flow through the nanoscale biosensor and be immobilized and enriched on the functionalized sensor surface. Because both the separation and detection modules have the features of lateral flow designs, they can be integrated on a single silicon chip using the nanoimprint lithography process. The integration of these two functions will lead to an unprecedented ability to continuously streamline exosome separation, enrichment and detection processes to profile multi-dimensional molecular and size information for multiple protein markers within one hour. The biological validation plan of the project will be carried out using the proposed device to sort and sense exosomes released from a parasitic nematode and etiological agent of the human disease, Lymphatic Filariasis. The proposed technology is advantageous over the lab-based methods in terms of cost, sample consumption, and throughput, and could be extended to the profiling of circulating exocellular exosomes in human or animal biofluids to diagnose a variety of diseases, identify companion biomarkers that are important for drug discovery, and monitor the progress of a therapy.
期刊论文(6)
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会议论文
DOI: 10.1016/j.mattod.2020.03.001
发表时间: 2020-07
期刊: Materials Today
影响因子: 24.2
作者: [Zhi Zhao;Jing Bai;Yu Yao;Chao Wang]
通讯作者: Zhi Zhao;Jing Bai;Yu Yao;Chao Wang
DOI: 10.1364/prj.7.001051
发表时间: 2019-09-01
期刊: PHOTONICS RESEARCH
影响因子: 7.6
作者: [Bai, Jing, Wang, Chu, Yao, Yu]
通讯作者: Yao, Yu
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
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)