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Nanopore-Based Technology

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Attention for Chapter 6: DNA Sequencing by Nanopore-Induced Photon Emission
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Chapter title
DNA Sequencing by Nanopore-Induced Photon Emission
Chapter number 6
Book title
Nanopore-Based Technology
Published in
Methods in molecular biology, February 2012
DOI 10.1007/978-1-61779-773-6_6
Pubmed ID
Book ISBNs
978-1-61779-772-9, 978-1-61779-773-6
Authors

Alon Singer, Ben McNally, Ruby Dela Torre, Amit Meller

Editors

Maria E. Gracheva

Abstract

Nanopore-based DNA analysis is an extremely attractive area of research due to the simplicity of the method, and the ability to not only probe individual molecules, but also to detect very small amounts of genomic material. Here, we describe the materials and methods of a novel, nanopore-based, single-molecule DNA sequencing system that utilizes optical detection. We convert target DNA according to a binary code, which is recognized by molecular beacons with two types of fluorophores. Solid-state nanopores are then used to sequentially strip off the beacons, leading to a series of photon bursts that can be detected with a custom-made microscope. We do not use any enzymes in the readout stage; thus, our system is not limited by the highly variable processivity, lifetime, and inaccuracy of individual enzymes that can hinder throughput and reliability. Furthermore, because our system uses purely optical readout, we can take advantage of high-end, wide-field imaging devices to record from multiple nanopores simultaneously. This allows an extremely straightforward parallelization of our system to nanopore arrays.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 22%
Student > Doctoral Student 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Professor 1 11%
Other 2 22%
Unknown 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 33%
Physics and Astronomy 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Social Sciences 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 1 11%