ArticleNatural computing2018
Scaling up genetic circuit design for cellular computing: advances and prospects.
Article in Natural computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- RATEX: A Scalable RNA-Based Platform for Logical and Multi-Layered Cellular Programming.Angewandte Chemie (International ed. in English) · 2026Article
- Dual-channel optogenetics in yeast for multiplexed light-based control of cellular processes and pathways.Nature communications · 2026Article
- GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.ACS synthetic biology · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Mining Genetically Encoded Biosensors from Filamentous Fungi.Journal of fungi (Basel, Switzerland) · 2026Review
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- GCAD: a Computational Framework for Mammalian Genetic Program Computer-Aided Design.bioRxiv : the preprint server for biology · 2025Article
- Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025Review
- Programmable trans-splicing riboregulators for complex cellular logic computation.Nature chemical biology · 2025Article
- Microbial Transcription Factor-Based Biosensors: Innovations from Design to Applications in Synthetic Biology.Biosensors · 2025Review
- Synthetic translational coupling element for multiplexed signal processing and cellular control.Nucleic acids research · 2024Article
- SiMPl-GS: Advancing Cell Line Development via Synthetic Selection Marker for Next-Generation Biopharmaceutical Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- LowTempGAL: a highly responsive low temperature-inducible GAL system in Saccharomyces cerevisiae.Nucleic acids research · 2024Article
- Functional predictability of universal gene circuits in diverse microbial hosts.Quantitative biology (Beijing, China) · 2024Article
- Toward predictable universal genetic circuit design.Quantitative biology (Beijing, China) · 2024Article
- Investigating and Modeling the Factors That Affect Genetic Circuit Performance.ACS synthetic biology · 2023Article
- Engineering a scalable and orthogonal platform for synthetic communication in mammalian cells.Nature communications · 2023Article
- Toward predictive engineering of gene circuits.Trends in biotechnology · 2023Review
- CRISPRi-based programmable logic inverter cascade for antibiotic-free selection and maintenance of multiple plasmids.Nucleic acids research · 2022Article
- A modular RNA interference system for multiplexed gene regulation.Nucleic acids research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic biology aims to engineer and redesign biological systems for useful real-world applications in biomanufacturing, biosensing and biotherapy following a typical design-build-test cycle. Inspired from computer science and electronics, synthetic gene circuits have been designed to exhibit control over the flow of information in biological systems. Two types are Boolean logic inspired TRUE or FALSE digital logic and graded analog computation. Key principles for gene circuit engineering include modularity, orthogonality, predictability and reliability. Initial circuits in the field were small and hampered by a lack of modular and orthogonal components, however in recent years the library of available parts has increased vastly. New tools for high throughput DNA assembly and characterization have been developed enabling rapid prototyping, systematic in situ characterization, as well as automated design and assembly of circuits. Recently implemented computing paradigms in circuit memory and distributed computing using cell consortia will also be discussed. Finally, we will examine existing challenges in building predictable large-scale circuits including modularity, context dependency and metabolic burden as well as tools and methods used to resolve them. These new trends and techniques have the potential to accelerate design of larger gene circuits and result in an increase in our basic understanding of circuit and host behaviour.
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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.