ArticleACS synthetic biology2018
An Automated Design Framework for Multicellular Recombinase Logic.
Article in ACS synthetic biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Customizing cellular signal processing by synthetic multi-level regulatory circuits.Nature communications · 2023Review
- Computational Methods for the Design of Recombinase Logic Circuits with Adaptable Circuit Specifications.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Integrase-mediated differentiation circuits improve evolutionary stability of burdensome and toxic functions in E. coli.Nature communications · 2022Article
- Catalyst-based biomolecular logic gates.Catalysts (Basel, Switzerland) · 2022Article
- A synthetic distributed genetic multi-bit counter.iScience · 2021Article
- Rational programming of history-dependent logic in cellular populations.Nature communications · 2020Article
- Precision design of stable genetic circuits carried in highly-insulated E. coli genomic landing pads.Molecular systems biology · 2020Article
- From Microbial Communities to Distributed Computing Systems.Frontiers in bioengineering and biotechnology · 2020Review
- Hierarchical composition of reliable recombinase logic devices.Nature communications · 2019Article
- Scaling up genetic circuit design for cellular computing: advances and prospects.Natural computing · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tools to systematically reprogram cellular behavior are crucial to address pressing challenges in manufacturing, environment, or healthcare. Recombinases can very efficiently encode Boolean and history-dependent logic in many species, yet current designs are performed on a case-by-case basis, limiting their scalability and requiring time-consuming optimization. Here we present an automated workflow for designing recombinase logic devices executing Boolean functions. Our theoretical framework uses a reduced library of computational devices distributed into different cellular subpopulations, which are then composed in various manners to implement all desired logic functions at the multicellular level. Our design platform called CALIN (Composable Asynchronous Logic using Integrase Networks) is broadly accessible via a web server, taking truth tables as inputs and providing corresponding DNA designs and sequences as outputs (available at http://synbio.cbs.cnrs.fr/calin ). We anticipate that this automated design workflow will streamline the implementation of Boolean functions in many organisms and for various applications.
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