The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Multi‐input CRISPR / Cas genetic circuits that interface host regulatory networks
Open accessAbstract
Genetic circuits require many regulatory parts in order to implement signal processing or execute algorithms in cells. A potentially scalable approach is to use dC as9, which employs small guide RNA s (sgRNAs) to repress genetic loci via the programmability of RNA : DNA base pairing. To this end, we use dC as9 and designed sgRNAs to build transcriptional logic gates and connect them to perform computation in living cells. We constructed a set of NOT gates by designing five synthetic Escherichia coli σ 70 promoters that are repressed by corresponding sgRNAs, and these interactions do not exhibit crosstalk between each other. These sgRNAs exhibit high on‐target repression (56‐ to 440‐fold) and negligible off‐target interactions (< 1.3‐fold). These gates were connected to build larger circuits, including the Boolean‐complete NOR gate and a 3‐gate circuit consisting of four layered sgRNAs. The synthetic circuits were connected to the native E. coli regulatory network by designing output sgRNAs to target an E. coli transcription factor ( malT ). This converts the output of a synthetic circuit to a switch in cellular phenotype (sugar utilization, chemotaxis, phage resistance).
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Citations
Cites
Basic local alignment search tool
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A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
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Multiplex Genome Engineering Using CRISPR/Cas Systems
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“Finally, strains have been constructed that express a protein that can be targeted to the genome (ZFP: Beerli & Barbas, 2002; TALE: Morbitzer et al , 2010; Zhang et al , 2011; or dCas9: Farzadfard et al , 2013; Gilbert et al , 2013; Qi et al , 2013) to upregulate or knockdown endogenous genes.”
BackgroundDouble nicking by RNA-guided CRISPR Cas9 for enhanced genome editing specificity
Ran, F. A., Hsu, P. D., Lin, C.-Y., Gootenberg, J. S., Konermann, S., Trevino, A. E., Scott, D. A., Inoue, A., Matoba, S., Zhang, Y., et al. (2013) · Cell · doi:10.1016/j.cell.2013.08.021 · Cited by 3,299
High-Frequency off-Target Mutagenesis Induced by CRISPR-Cas Nucleases in Human Cells
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“While there has been much discussion regarding off-target Cas9 interactions and several efforts seeking to reduce it (Cradick et al , 2013; Fu et al , 2013, 2014; Hsu et al , 2013; Mali et al , 2013; Pattana-yak et al , 2013; Ran et al , 2013; Guilinger et al , 2014; Kuscu et al , 2014; Tsai et al…”
Background
Cited by
Genetic circuit design automation
Nielsen, A. A. K., Der, B. S., Shin, J., Vaidyanathan, P., Paralanov, V., Strychalski, E. A., Ross, D., Densmore, D., & Voigt, C. A. (2016) · Science · doi:10.1126/science.aac7341 · Cited by 1,020
Self-citationRock, J. M., Hopkins, F. F., Chavez, A., Diallo, M., Chase, M. R., Gerrick, E. R., Pritchard, J. R., Church, G. M., Rubin, E. J., Sassetti, C. M., et al. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.274 · Cited by 538
Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies
Aggarwal, N., Kitano, S., Puah, G. R. Y., Kittelmann, S., Hwang, I. Y., & Chang, M. W. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00431 · Cited by 508
Mimee, M., Tucker, A. C., Voigt, C. A., & Lu, T. K. (2015) · Cell Systems · doi:10.1016/j.cels.2015.06.001 · Cited by 387
Self-citationGenome-Editing Technologies: Principles and Applications
Gaj, T., Sirk, S. J., Shui, S.-L., & Liu, J. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a023754 · Cited by 381
Metadata
- Authors
- Nielsen, A. A., & Voigt, C. A.
- Venue
- Molecular Systems Biology
- Published
- 2014-11
- Volume
- 10
- Issue
- 11
- Pages
- 763-763
- ISSN
- 1744-4292 (ISSN-L)
- OpenAlex
- W2164424555
- Cited by
- 256
- References
- 60
- FWCI
- 9.13
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
