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Probing Single DNA Molecule Transport Using Fabricated Nanopores
Open accessAbstract
Nanopores can serve as high throughput, single molecule sensing devices that provide insight into the distribution of static and dynamic molecular activities, properties, or interactions. We have studied double stranded DNA electrophoretic transport dynamics through fabricated nanopores in silicon nitride. A fabricated pore enables us to interrogate a broader range of molecules with a wider range of conditions than can be investigated in a self-assembled protein pore in a lipid membrane.
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Cited by
Slowing DNA Translocation in a Solid-State Nanopore
Fologea, D., Uplinger, J., Thomas, B., McNabb, D. S., & Li, J. (2005) · Nano Letters · doi:10.1021/nl051063o · Cited by 567
Digitally encoded DNA nanostructures for multiplexed, single-molecule protein sensing with nanopores
Bell, N. A. W., & Keyser, U. F. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.50 · Cited by 345
Driving forces of translocation through bacterial translocon SecYEG.
Knyazev, D. G., Kuttner, R., Zimmermann, M., Sobakinskaya, E., & Pohl, P. (2018) · The Journal of Membrane Biology · doi:10.1007/s00232-017-0012-9 · Cited by 33
Metadata
- Authors
- Chen, P., Gu, J., Brandin, E., Kim, Y.-R., Wang, Q., & Branton, D.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-10-26
- Volume
- 4
- Issue
- 11
- Pages
- 2293-2298
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2139446350
- Cited by
- 387
- References
- 0
- FWCI
- 13.37
- Type
- journal article
- Language
- en
- Open access
- green
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- Chen, P., Gu, J., Brandin, E., Kim, Y.-R., Wang, Q., & Branton, D. (2004). Probing Single DNA Molecule Transport Using Fabricated Nanopores. Nano Letters. https://doi.org/10.1021/nl048654j
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
