The objective of this project is to elucidate a new nanopore single-molecule effect of carrier-guided nanopore dielectrophoresis and explore its application in selective capture and noise-free detection of cancer-derived microRNA biomarkers in clinical samples. Lung cancer early detection urgently needs non-invasive and cost-effective confirmatory tests. Lung cancer-derived circulating microRNAs are becoming potential biomarkers for lung cancer diagnosis and prognosis. We have developed a nanopore single molecule Counter for electric detection of microRNAs, offering a potential non-invasive tool for disease screening and diagnostics. However, translating a conceptual nanopore sensor into a clinically usable technology faces a big challenge due to the complexity of clinical samples (plasma nucleic acids extracts), which cause intensive contaminative signals that severely influence the target miRNA determination and cannot be eliminated by any current methods. We discovered a new nanopore effect, carrier-guided nanopore dielectrophoresis (CND). Using this effect, we for the first time devise an extremely useful approach for noise-free nucleic acids detection in clinical samples. This approach utilizes a carrier-probe to bind the target miRNA. Under a highly non- uniform electric field outside the nanopore entrance, only the miRNA*carrier-probe dipole is captured in the nanopore by a dielectrophoresis force, whereas all non-target nucleic acids without carrier-probe binding are rejected by the repulsive electrostatic force. Consequently only the signatures for the miRNA*carrier-probe complex can be identified; any interference signal originating from non-target species is completely eliminated. This discovery opens a new route to the selective capture and noise-free detection of any target nuclic acids in the complex mixture, representing a substantial step toward the nanopore clinical applications. In this project, we are motivated to 1) completely elucidate the CND effect, explore the target diversity, enhance the sensitivity; 2) establish a nanopore dielectrophoresis approach for single-nucleotide discrimination and a barcode approach for multiplex miRNA detection; 3) utilize nanopore dielectrophoresis mechanism to detect lung cancer-derived miRNAs biomarkers in patient samples. The success of this project will be a substantial contribution to nanoscience and biotechnology, and open an avenue to nanopore applications in medical diagnostics, biomarkers discovery and pathogen detection, as well as plant science and food engineering where rapid genetic detection is required. The long term vision is applying a robust, flexible nanopore device in solving life science problems.

Public Health Relevance

Cancer-derived circulating microRNAs are potential biomarkers for cancer detection. We will advance a novel nanopore dielectrophoresis effect for selective capture and noise-free detection of circulating microRNAs in lung cancer patients at the single molecule level. The established innovative method will enable the nanopore technology in clinical detection, offering a blood-based non-invasive tool for cancer early diagnosis and prognosis.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM114204-03
Application #
9271050
Study Section
Nanotechnology Study Section (NANO)
Program Officer
Edmonds, Charles G
Project Start
2015-04-01
Project End
2018-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
3
Fiscal Year
2017
Total Cost
$262,209
Indirect Cost
$74,240
Name
University of Missouri-Columbia
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
153890272
City
Columbia
State
MO
Country
United States
Zip Code
65211
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Nejad, Maryam Imani; Shi, Ruicheng; Zhang, Xinyue et al. (2017) Sequence-Specific Covalent Capture Coupled with High-Contrast Nanopore Detection of a Disease-Derived Nucleic Acid Sequence. Chembiochem 18:1383-1386
Tian, Kai; Shi, Ruicheng; Gu, Amy et al. (2017) Polycationic Probe-Guided Nanopore Single-Molecule Counter for Selective miRNA Detection. Methods Mol Biol 1632:255-268
Alibakhshi, Mohammad Amin; Halman, Justin R; Wilson, James et al. (2017) Picomolar Fingerprinting of Nucleic Acid Nanoparticles Using Solid-State Nanopores. ACS Nano 11:9701-9710

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