The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Enzyme-Free Nucleic Acid Logic Circuits
Abstract
Biological organisms perform complex information processing and control tasks using sophisticated biochemical circuits, yet the engineering of such circuits remains ineffective compared with that of electronic circuits. To systematically create complex yet reliable circuits, electrical engineers use digital logic, wherein gates and subcircuits are composed modularly and signal restoration prevents signal degradation. We report the design and experimental implementation of DNA-based digital logic circuits. We demonstrate AND, OR, and NOT gates, signal restoration, amplification, feedback, and cascading. Gate design and circuit construction is modular. The gates use single-stranded nucleic acids as inputs and outputs, and the mechanism relies exclusively on sequence recognition and strand displacement. Biological nucleic acids such as microRNAs can serve as inputs, suggesting applications in biotechnology and bioengineering.
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Citations
Cites
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Triggered amplification by hybridization chain reaction
Dirks, R. M., & Pierce, N. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407024101 · Cited by 2,063
An autonomous molecular computer for logical control of gene expression
Benenson, Y., Gil, B., Ben-Dor, U., Adar, R., & Shapiro, E. (2004) · Nature · doi:10.1038/nature02551 · Cited by 821
Programmable and autonomous computing machine made of biomolecules
Benenson, Y., Paz-Elizur, T., Adar, R., Keinan, E., Livneh, Z., & Shapiro, E. (2001) · Nature · doi:10.1038/35106533 · Cited by 645
A deoxyribozyme-based molecular automaton
Stojanovic, M. N., & Stefanovic, D. (2003) · Nature Biotechnology · doi:10.1038/nbt862 · Cited by 625
Engineered riboregulators enable post-transcriptional control of gene expression
Isaacs, F. J., Dwyer, D. J., Ding, C., Pervouchine, D. D., Cantor, C. R., & Collins, J. J. (2004) · Nature Biotechnology · doi:10.1038/nbt986 · Cited by 554
Analog Versus Digital: Extrapolating from Electronics to Neurobiology
Sarpeshkar, R. (1998) · Neural Computation · doi:10.1162/089976698300017052 · Cited by 496
Deoxyribozyme-Based Logic Gates
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DNA Fuel for Free-Running Nanomachines
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Cited by
Dynamic DNA nanotechnology using strand-displacement reactions
Zhang, D. Y., & Seelig, G. (2011) · Nature Chemistry · doi:10.1038/nchem.957 · Cited by 1,785
Self-citationPrinciples and Applications of Nucleic Acid Strand Displacement Reactions
Simmel, F. C., Yurke, B., & Singh, H. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00580 · Cited by 792
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
Self-citationMaterials learning from life: concepts for active, adaptive and autonomous molecular systems
Merindol, R., & Walther, A. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00738d · Cited by 533
Biomolecular computing systems: principles, progress and potential
Benenson, Y. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3197 · Cited by 373
Metadata
- Authors
- Seelig, G., Soloveichik, D., Zhang, D. Y., & Winfree, E.
- Venue
- Science
- Published
- 2006-12-08
- Volume
- 314
- Issue
- 5805
- Pages
- 1585-1588
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1964928696
- Cited by
- 1,540
- References
- 19
- FWCI
- 14.49
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
