Paper
13 May 2011 Quantum dots and microfluidic single-molecule detection for screening genetic and epigenetic cancer markers in clinical samples
Tza-Huei Wang, Vasudev Bailey, Kelvin Liu
Author Affiliations +
Abstract
Genomic analysis of biomarkers, including genetic markers such as point mutations and epigenetic markers such as DNA methylation, has become a central theme in modern disease diagnosis and prognosis. Recently there is an increasing interest in using single-molecule detection (SMD) for genomic detection. The driving force not only comes from its ultrahigh sensitivity that can allow the detection of low-abundance nucleic acids with reduced or without the need of amplification but also from its potential in achieving high-accuracy quantification of rare targets via singlemolecule sorting. The unique photophysical properties of semiconductor quantum dots (QDs) have made them ideal for use as spectral labels and luminescent probes. QDs also make excellent donors to pair with organic dyes in the fluorescence resonance energy transfer (FRET) process due to the features of narrow emission spectra and small Stokes shift. We have developed highly sensitive, quantitative and clinically relevant technologies for analysis of genomic markers based on the convergence of SMD, microfluidic manipulations, and quantum dot fluorescence resonance energy transfer technology (QD-FRET). Extraordinary performances of these new technologies have been exemplified by analysis of a variety of biomarkers including point mutations, DNA integrity and DNA methylation in clinical samples.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tza-Huei Wang, Vasudev Bailey, and Kelvin Liu "Quantum dots and microfluidic single-molecule detection for screening genetic and epigenetic cancer markers in clinical samples", Proc. SPIE 8031, Micro- and Nanotechnology Sensors, Systems, and Applications III, 80311W (13 May 2011); https://doi.org/10.1117/12.884897
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KEYWORDS
Quantum dots

Molecules

Fluorescence resonance energy transfer

Cancer

Microfluidics

Target detection

Genetics

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