ArticleNucleic acids research2010
An engineered mammalian band-pass network.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 95 citations in OpenAlex.
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- Templated Pluripotent Stem Cell Differentiation via Substratum-Guided Artificial Signaling.ACS biomaterials science & engineering · 2024Article
- Protein-based bandpass filters for controlling cellular signaling with chemical inputs.Nature chemical biology · 2024Article
- Tension-tuned receptors for synthetic mechanotransduction and intercellular force detection.Nature biotechnology · 2023Article
- An electrogenetic interface to program mammalian gene expression by direct current.Nature metabolism · 2023Article
- Combinatorial protein dimerization enables precise multi-input synthetic computations.Nature chemical biology · 2023Article
- Programmable mammalian translational modulators by CRISPR-associated proteins.Nature communications · 2023Article
- Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells.Molecular systems biology · 2022Article
- Control of mammalian cell-based devices with genetic programming.Current opinion in systems biology · 2021Article
- Gene-circuit therapy on the horizon: synthetic biology tools for engineered therapeutics.Acta biochimica Polonica · 2021Review
- Generation of extracellular morphogen gradients: the case for diffusion.Nature reviews. Genetics · 2021Review
- Model-guided design of mammalian genetic programs.Science advances · 2021Article
- Exploiting natural chemical photosensitivity of anhydrotetracycline and tetracycline for dynamic and setpoint chemo-optogenetic control.Nature communications · 2020Article
- Automated Design of Pluripotent Stem Cell Self-Organization.Cell systems · 2019Article
- Reprogramming the brain with synthetic neurobiology.Current opinion in biotechnology · 2019Review
- Programmable protein circuits in living cells.Science (New York, N.Y.) · 2018Article
- Designing cell function: assembly of synthetic gene circuits for cell biology applications.Nature reviews. Molecular cell biology · 2018Review
- SynPharm: A Guide to PHARMACOLOGY Database Tool for Designing Drug Control into Engineered Proteins.ACS omega · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression circuitries, which enable cells to detect precise levels within a morphogen concentration gradient, have a pivotal impact on biological processes such as embryonic pattern formation, paracrine and autocrine signalling, and cellular migration. We present the rational synthesis of a synthetic genetic circuit exhibiting band-pass detection characteristics. The components, involving multiply linked mammalian trans-activator and -repressor control systems, were selected and fine-tuned to enable the detection of 'low-threshold' morphogen (tetracycline) concentrations, in which target gene expression was triggered, and a 'high-threshold' concentration, in which expression was muted. In silico predictions and supporting experimental findings indicated that the key criterion for functional band-pass detection was the matching of componentry that enabled sufficient separation of the low and high threshold points. Using the circuitry together with a fluorescence-encoded target gene, mammalian cells were genetically engineered to be capable of forming a band-like pattern of differentiation in response to a tetracycline chemical gradient. Synthetic gene networks designed to emulate naturally occurring gene behaviours provide not only insight into biological processes, but may also foster progress in future tissue engineering, gene therapy and biosensing applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.