Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/52373
Title: Sensitive, simultaneous quantitation of two unlabeled DNA targets using a magnetic nanoparticle-enzyme sandwich assay
Authors: Yue Zhang
Chalermchai Pilapong
Yuan Guo
Zhenlian Ling
Oscar Cespedes
Philip Quirke
Dejian Zhou
Authors: Yue Zhang
Chalermchai Pilapong
Yuan Guo
Zhenlian Ling
Oscar Cespedes
Philip Quirke
Dejian Zhou
Keywords: Chemistry
Issue Date: 1-Oct-2013
Abstract: We report herein the development of a simple, sensitive colorimetric magnetic nanoparticle (MNP)-enzyme-based DNA sandwich assay that is suitable for simultaneous, label-free quantitation of two DNA targets down to 50 fM level. It can also effectively discriminate single-nucleotide polymorphisms (SNPs) in genes associated with human cancers (KRAS codon 12/13 SNPs). This assay uses a pair of specific DNA probes, one being covalently conjugated to an MNP for target capture and the other being linked to an enzyme for signal amplification, to sandwich a DNA target, allowing for convenient magnetic separation and subsequent efficient enzymatic signal amplification for high sensitivity. Careful optimization of the MNP surfaces and assay conditions greatly reduced the background, allowing for sensitive, specific detection of as little as 5 amol (50 fM in 100 μL) of target DNA. Moreover, this sensor is robust, it can effectively discriminate cancer-specific SNPs against the wild-type noncancer target, and it works efficiently in 10% human serum. Furthermore, this sensor can simultaneously quantitate two different DNA targets by using two pairs of unique capture- and signal-DNA probes specific for each target. This general, simple, and sensitive DNA sensor appears to be well-suited for a wide range of genetics-based biosensing and diagnostic applications. © 2013 American Chemical Society.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84884996190&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/52373
ISSN: 15206882
00032700
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.