The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
The Engineering of Gene Regulatory Networks
Abstract
▪ Abstract The rapid accumulation of genetic information and advancement of experimental techniques have opened a new frontier in biomedical engineering. With the availability of well-characterized components from natural gene networks, the stage has been set for the engineering of artificial gene regulatory networks with sophisticated computational and functional capabilities. In these efforts, the ability to construct, analyze, and interpret qualitative and quantitative models is becoming increasingly important. In this review, we consider the current state of gene network engineering from a combined experimental and modeling perspective. We discuss how networks with increased complexity are being constructed from simple modular components and how quantitative deterministic and stochastic modeling of these modules may provide the foundation for accurate in silico representations of gene regulatory network function in vivo.
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Citations
Cites
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“An elegant demonstration of the versatility of genetic module engineering is the construction of novel transfactor proteins that can activate gene expression in mammalian cells (53, 54).”
BackgroundIntrinsic and extrinsic contributions to stochasticity in gene expression
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“A simple model of prokaryotic transcription and translation (91, 108) is illustrated schematically in Figure 7 a.”
BackgroundMethodInfluentialTranscriptional activation by recruitment
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Cited by
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
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Synthetic biology: new engineering rules for an emerging discipline
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A brief history of synthetic biology
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Self-citationThe application of Tet repressor in prokaryotic gene regulation and expression
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Metadata
- Authors
- Kærn, M., Blake, W. J., & Collins, J. J.
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2003-08
- Volume
- 5
- Issue
- 1
- Pages
- 179-206
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W1926807800
- Cited by
- 189
- References
- 11
- FWCI
- 0.75
- 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.
