About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Single-molecule detection and mismatch discrimination of unlabeled DNA targets

From

Department of Physics, Division of Solid State Physics and the Nanometer Consortium, Lund University, Sölvegatan 14, 223 62 Lund, Sweden.1

We report on a single-molecule readout scheme on total internal reflection fluorescence microscopy (TIRFM) demonstrating a detection limit in the low fM regime for short (30-mer) unlabeled DNA strands. Detection of unlabeled DNA targets is accomplished by letting them mediate the binding of suspended fluorescently labeled DNA-modified small unilamellar vesicles (Ø approximately 100 nm) to a DNA-modified substrate.

On top of rapid and sensitive detection, the technique is also shown capable of extracting kinetics data from statistics of the residence time of the binding reaction in equilibrium, that is, without following neither the rate of binding upon injection nor release upon rinsing. The potential of this feature is demonstrated by discriminating a single mismatch from a fully complementary sequence.

The success of the method is critically dependent on a surface modification that provides sufficiently low background. This was achieved through self-assembly of a biotinylated copolymer, Poly(L-lysine)-g-poly(ethylene glycol) (PLL-g-PEG) on a silicon dioxide surface, followed by subsequent addition of streptavidin and biotinylated DNA.

The proposed detection scheme is particularly appealing due to the simplicity of the sensor, which relies on self-assembly principles and conventional TIRFM. Therefore, we foresee a great potential of the concept to serve as an important component in future multiplexed sensing schemes. This holds in particular true in cases when information about binding kinetics is valuable, such as in single nucleotide polymorphism diagnostics.

Language: English
Year: 2008
Pages: 183-188
ISSN: 15306992 and 15306984
Types: Journal article
DOI: 10.1021/nl072401j

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis