The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
DNA Computation in Mammalian Cells: MicroRNA Logic Operations
Abstract
DNA computation can utilize logic gates as modules to create molecular computers with biological inputs. Modular circuits that recognize nucleic acid inputs through strand hybridization activate computation cascades to produce controlled outputs. This allows for the construction of synthetic circuits that can be interfaced with cellular environments. We have engineered oligonucleotide AND gates to respond to specific microRNA (miRNA) inputs in live mammalian cells. Both single and dual-sensing miRNA-based computation devices were synthesized for the cell-specific identification of endogenous miR-21 and miR-122. A logic gate response was observed with miRNA expression regulators, exhibiting molecular recognition of miRNA profile changes. Nucleic acid logic gates that are functional in a cellular environment and recognize endogenous inputs significantly expand the potential of DNA computation to monitor, image, and respond to cell-specific markers.
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Citations
Cites
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma
Medina, P. P., Nolde, M., & Slack, F. J. (2010) · Nature · doi:10.1038/nature09284 · Cited by 971
DNA Computation: A Photochemically Controlled AND Gate
Prokup, A., Hemphill, J., & Deiters, A. (2012) · Journal of the American Chemical Society · doi:10.1021/ja210050s · Cited by 116
Self-citation
Cited by
DNA nanotechnology from the test tube to the cell
Chen, Y.-J., Groves, B., Muscat, R. A., & Seelig, G. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.195 · Cited by 594
Optochemical Control of Biological Processes in Cells and Animals
Ankenbruck, N., Courtney, T., Naro, Y., & Deiters, A. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201700171 · Cited by 419
Self-citationA spatially localized architecture for fast and modular DNA computing
Chatterjee, G., Dalchau, N., Muscat, R. A., Phillips, A., & Seelig, G. (2017) · Nature Nanotechnology · doi:10.1038/nnano.2017.127 · Cited by 353
Wu, C., Cansiz, S., Zhang, L., Teng, I.-T., Qiu, L., Li, J., Liu, Y., Zhou, C., Hu, R., Zhang, T., et al. (2015) · Journal of the American Chemical Society · doi:10.1021/jacs.5b00542 · Cited by 332
Chang, X., Zhang, C., Lv, C., Sun, Y., Zhang, M., Zhao, Y., Yang, L., Han, D., & Tan, W. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b05470 · Cited by 312
Metadata
- Authors
- Hemphill, J., & Deiters, A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-07-09
- Volume
- 135
- Issue
- 28
- Pages
- 10512-10518
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2318093937
- Cited by
- 228
- References
- 3
- FWCI
- 7.26
- Type
- journal article
- Language
- en
- Open access
- closed
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