ArticleNucleic acids research2022
Implementing re-configurable biological computation with distributed multicellular consortia.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Living circuit boards built by printing bacterial transistors.Nature chemical biology · 2026Article
- Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025Review
- Genetic designs for stochastic and probabilistic biocomputing.Physical review. E · 2025Article
- Phage-mediated intercellular CRISPRi for biocomputation in bacterial consortia.Nucleic acids research · 2025Article
- Emergent digital bio-computation through spatial diffusion and engineered bacteria.Nature communications · 2024Article
- Biocomputation: Moving Beyond Turing with Living Cellular Computers.Communications of the ACM · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of synthetic biological circuits to deal with numerous biological challenges has been proposed in several studies, but its implementation is still remote. A major problem encountered is the complexity of the cellular engineering needed to achieve complex biological circuits and the lack of general-purpose biological systems. The generation of re-programmable circuits can increase circuit flexibility and the scalability of complex cell-based computing devices. Here we present a new architecture to produce reprogrammable biological circuits that allow the development of a variety of different functions with minimal cell engineering. We demonstrate the feasibility of creating several circuits using only a small set of engineered cells, which can be externally reprogrammed to implement simple logics in response to specific inputs. In this regard, depending on the computation needs, a device composed of a number of defined cells can generate a variety of circuits without the need of further cell engineering or rearrangements. In addition, the inclusion of a memory module in the circuits strongly improved the digital response of the devices. The reprogrammability of biological circuits is an intrinsic capacity that is not provided in electronics and it may be used as a tool to solve complex biological problems.
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Registered trials
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