ArticleJournal of biological engineering2010
Rational design of modular circuits for gene transcription: A test of the bottom-up approach.
Article in Journal of biological engineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Engineering and application of LacI mutants with stringent expressions.Microbial biotechnology · 2024Article
- Redesign of ultrasensitive and robust RecA gene circuit to sense DNA damage.Microbial biotechnology · 2021Article
- Reliable measurement ofJournal of biological engineering · 2017Article
- Phenotypic Variability in Synthetic Biology Applications: Dealing with Noise in Microbial Gene Expression.Frontiers in microbiology · 2016Review
- Synthetic biosensors for precise gene control and real-time monitoring of metabolites.Nucleic acids research · 2015Article
- Advances and computational tools towards predictable design in biological engineering.Computational and mathematical methods in medicine · 2014Review
- Characterization of an inducible promoter in different DNA copy number conditions.BMC bioinformatics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost of synthetic circuits developed so far have been designed by an ad hoc approach, using a small number of components (i.e. LacI, TetR) and a trial and error strategy. We are at the point where an increasing number of modular, inter-changeable and well-characterized components is needed to expand the construction of synthetic devices and to allow a rational approach to the design.
resultsWe used interchangeable modular biological parts to create a set of novel synthetic devices for controlling gene transcription, and we developed a mathematical model of the modular circuits. Model parameters were identified by experimental measurements from a subset of modular combinations. The model revealed an unexpected feature of the lactose repressor system, i.e. a residual binding affinity for the operator site by induced lactose repressor molecules. Once this residual affinity was taken into account, the model properly reproduced the experimental data from the training set. The parameters identified in the training set allowed the prediction of the behavior of networks not included in the identification procedure.
conclusionsThis study provides new quantitative evidences that the use of independent and well-characterized biological parts and mathematical modeling, what is called a bottom-up approach to the construction of gene networks, can allow the design of new and different devices re-using the same modular parts.
Identifiers
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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.