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The Electromechanics of DNA in a Synthetic Nanopore

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Heng, J.B., Aksimentiev, A., Ho, C., Marks, P., Grinkova, Y.V., Sligar, S., Schulten, K., Timp, G.·2006·Biophysical Journal

Abstract

We have explored the electromechanical properties of DNA on a nanometer-length scale using an electric field to force single molecules through synthetic nanopores in ultrathin silicon nitride membranes. At low electric fields, E < 200 mV/10 nm, we observed that single-stranded DNA can permeate pores with a diameter >/=1.0 nm, whereas double-stranded DNA only permeates pores with a diameter >/=3 nm. For pores <3.0 nm diameter, we find a threshold for permeation of double-stranded DNA that depends on the electric field and pH. For a 2 nm diameter pore, the electric field threshold is approximately 3.1 V/10 nm at pH = 8.5; the threshold decreases as pH becomes more acidic or the diameter increases. Molecular dynamics indicates that the field threshold originates from a stretching transition in DNA that occurs under the force gradient in a nanopore. Lowering pH destabilizes the double helix, facilitating DNA translocation at lower fields.

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Metadata

Authors
Heng, J. B., Aksimentiev, A., Ho, C., Marks, P., Grinkova, Y. V., Sligar, S., Schulten, K., & Timp, G.
Venue
Biophysical Journal
Publisher
Elsevier BV
Published
2006-02
Volume
90
Issue
3
Pages
1098-1106
ISSN
0006-3495 (ISSN-L)
OpenAlex
W1976022164
Cited by
191
References
0
FWCI
12.05
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Electromechanics of DNA in a Synthetic Nanopore. https://app.cochat.ai/papers/10.1529/biophysj.105.070672
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Heng, J. B., Aksimentiev, A., Ho, C., Marks, P., Grinkova, Y. V., Sligar, S., Schulten, K., & Timp, G. (2006). The Electromechanics of DNA in a Synthetic Nanopore. Biophysical Journal. https://doi.org/10.1529/biophysj.105.070672

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.