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Journal article

Continuous base identification for single-molecule nanopore DNA sequencing

Abstract:
A single-molecule method for sequencing DNA that does not require fluorescent labelling could reduce costs and increase sequencing speeds. An exonuclease enzyme might be used to cleave individual nucleotide molecules from the DNA, and when coupled to an appropriate detection system, these nucleotides could be identified in the correct order. Here, we show that a protein nanopore with covalently attached adapter molecule can continuously identify unlabelled nucleoside 5'-monophosphate molecules with accuracies averaging 99.8%. Methylated cytosine can also be distinguished from the four standard DNA bases: guanine, adenine, thymine and cytosine. The operating conditions are compatible with the exonuclease, and the kinetic data show that the nucleotides have a high probability of translocation through the nanopore and, therefore, of not being registered twice. This highly accurate tool is suitable for integration into a system for sequencing nucleic acids and for analysing epigenetic modifications.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/NNANO.2009.12

Authors

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Institution:
Oxford Nanopore Technologies Ltd, Begbroke Science Park, Oxford, UK
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Sub department:
Chemistry Research Laboratory
Role:
Author
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Institution:
"Oxford Nanopore Technologies Ltd, Begbroke Science Park, Oxford, UK", "University of Oxford"
Department:
Mathematical,Physical & Life Sciences Division - Chemistry - Chemistry Research Laboratory
Role:
Author
More by this author
Institution:
Oxford Nanopore Technologies Ltd, Begbroke Science Park, Oxford, UK
Role:
Author
More by this author
Institution:
Oxford Nanopore Technologies Ltd, Begbroke Science Park, Oxford, UK
Role:
Author


Publisher:
Macmillan Publishers Ltd.
Journal:
Nature Nanotechnology More from this journal
Volume:
4
Issue:
4
Pages:
265-270
Publication date:
2009-04-01
DOI:
EISSN:
1748-3395
ISSN:
1748-3387


Language:
English
Subjects:
UUID:
uuid:124b71ab-f0ee-412a-afd6-436a58e63636
Local pid:
ora:4643
Deposit date:
2010-12-16
ARK identifier:

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