The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Single-Step Rapid Assembly of DNA Origami Nanostructures for Addressable Nanoscale Bioreactors
Abstract
Self-assembled DNA origami nanostructures have shown great promise for bottom-up construction of complex objects with nanoscale addressability. Here we show that DNA origami-based 1D nanoribbons and nanotubes are one-pot assembled with controllable sizes and nanoscale addressability with high speed (within only 10-20 min), exhibiting extraordinarily high cooperativity that is often observed in assembly of natural molecular machines in cells (e.g. ribosome). By exploiting the high specificity of DNA-based self-assembly, we can precisely anchor proteins on these DNA origami nanostructures with sub-10 nm resolution and at the single-molecule level. We attach a pair of enzymes (horseradish peroxidase and glucose oxidase) at the inner side of DNA nanotubes and observe high coupling efficiency of enzyme cascade within this confined nanospace. Hence, DNA nanostructures with such unprecedented properties shed new light on the design of nanoscale bioreactors and nanomedicine and provide an artificial system for studying enzyme activities and cascade in highly organized and crowded cell-mimicking environments.
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Citations
Cites
Carbon Nanotubes--the Route Toward Applications
Baughman, R. H., Zakhidov, A. A., & de Heer, W. A. (2002) · Science · doi:10.1126/science.1060928 · Cited by 10,267
Folding DNA to create nanoscale shapes and patterns
Rothemund, P. W. K. (2006) · Nature · doi:10.1038/nature04586 · Cited by 7,354
Chemically Derived, Ultrasmooth Graphene Nanoribbon Semiconductors
Li, X., Wang, X., Zhang, L., Lee, S., & Dai, H. (2008) · Science · doi:10.1126/science.1150878 · Cited by 4,790
Gold Nanoparticles in Chemical and Biological Sensing
Saha, K., Agasti, S. S., Kim, C., Li, X., & Rotello, V. M. (2012) · Chemical Reviews · doi:10.1021/cr2001178 · Cited by 4,620
Design and self-assembly of two-dimensional DNA crystals
Winfree, E., Liu, F., Wenzler, L. A., & Seeman, N. C. (1998) · Nature · doi:10.1038/28998 · Cited by 2,857
Seeman, N. C. (2003) · Nature · doi:10.1038/nature01406 · Cited by 2,782
Self-assembly of DNA into nanoscale three-dimensional shapes
Douglas, S. M., Dietz, H., Liedl, T., Högberg, B., Graf, F., & Shih, W. M. (2009) · Nature · doi:10.1038/nature08016 · Cited by 2,571
Toward Self‐Organization and Complex Matter
Lehn, J. (2002) · ChemInform · doi:10.1002/chin.200240281 · Cited by 2,277
DNA-based self-assembly of chiral plasmonic nanostructures with tailored optical response
Kuzyk, A., Schreiber, R., Fan, Z., Pardatscher, G., Roller, E.-M., Högele, A., Simmel, F. C., Govorov, A. O., & Liedl, T. (2012) · Nature · doi:10.1038/nature10889 · Cited by 2,216
Graphene-Based Antibacterial Paper
Hu, W., Peng, C., Luo, W., Lv, M., Li, X., Li, D., Huang, Q., & Fan, C. (2010) · ACS Nano · doi:10.1021/nn101097v · Cited by 2,003
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Cited by
Wang, F., Lu, C.-H., & Willner, I. (2014) · Chemical Reviews · doi:10.1021/cr400354z · Cited by 649
Li, J., Green, A. A., Yan, H., & Fan, C. (2017) · Nature Chemistry · doi:10.1038/nchem.2852 · Cited by 353
Self-citationFramework nucleic acids as programmable carrier for transdermal drug delivery
Wiraja, C., Zhu, Y., Lio, D. C. S., Yeo, D. C., Xie, M., Fang, W., Li, Q., Zheng, M., Van Steensel, M., Wang, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09029-9 · Cited by 294
Self-citationBiocatalytic cascades operating on macromolecular scaffolds and in confined environments
Vázquez-González, M., Wang, C., & Willner, I. (2020) · Nature Catalysis · doi:10.1038/s41929-020-0433-1 · Cited by 293
Static DNA Nanostructures For Cancer Theranostics: Recent Progress In Design And Applications
Jahanban-Esfahlan, R., Seidi, K., Jahanban-Esfahlan, A., Jaymand, M., Alizadeh, E., Majdi, H., Najjar, R., Javaheri, T., & Zare, P. (2019) · Nanotechnology, Science and Applications · doi:10.2147/nsa.s227193 · Cited by 50
Metadata
- Authors
- Fu, Y., Zeng, D., Chao, J., Jin, Y., Zhang, Z., Liu, H., Li, D., Ma, H., Huang, Q., Gothelf, K. V., & Fan, C.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-12-28
- Volume
- 135
- Issue
- 2
- Pages
- 696-702
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2054731715
- Cited by
- 272
- References
- 48
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- closed
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