ReviewBiotechnology journal2014
Digital and analog gene circuits for biotechnology.
Review in Biotechnology journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Cascading recombinase memory switch for programmable and stable gene expression in Pseudomonas putida.Nucleic acids research · 2026Article
- Dynamics of genetic circuits in Pseudomonas protegens.Cell systems · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- Gene circuit-based sensors.Fundamental research · 2025Review
- A Genetic Circuit Design for Targeted Viral RNA Degradation.Bioengineering (Basel, Switzerland) · 2023Article
- A synthetic distributed genetic multi-bit counter.iScience · 2021Article
- Protease circuits for processing biological information.Nature communications · 2020Article
- A memory switch for plant synthetic biology based on the phage ϕC31 integration system.Nucleic acids research · 2020Article
- Transcriptional programming using engineered systems of transcription factors and genetic architectures.Nature communications · 2019Article
- Metabolic perceptrons for neural computing in biological systems.Nature communications · 2019Article
- Genetic circuits to engineer tissues with alternative functions.Journal of biological engineering · 2019Review
- Bottom-up approaches in synthetic biology and biomaterials for tissue engineering applications.Journal of industrial microbiology & biotechnology · 2018Article
- Synchronized DNA cycling across a bacterial population.Nature genetics · 2017Article
- Design and Construction of Generalizable RNA-Protein Hybrid Controllers by Level-Matched Genetic Signal Amplification.Cell systems · 2016Article
- Synthetic analog and digital circuits for cellular computation and memory.Current opinion in biotechnology · 2014Review
- Bacteriophage-based synthetic biology for the study of infectious diseases.Current opinion in microbiology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Biotechnology offers the promise of valuable chemical production via microbial processing of renewable and inexpensive substrates. Thus far, static metabolic engineering strategies have enabled this field to advance industrial applications. However, the industrial scaling of statically engineered microbes inevitably creates inefficiencies due to variable conditions present in large-scale microbial cultures. Synthetic gene circuits that dynamically sense and regulate different molecules can resolve this issue by enabling cells to continuously adapt to variable conditions. These circuits also have the potential to enable next-generation production programs capable of autonomous transitioning between steps in a bioprocess. Here, we review the design and application of two main classes of dynamic gene circuits, digital and analog, for biotechnology. Within the context of these classes, we also discuss the potential benefits of digital-analog interconversion, memory, and multi-signal integration. Though synthetic gene circuits have largely been applied for cellular computation to date, we envision that utilizing them in biotechnology will enhance the efficiency and scope of biochemical production with living cells.
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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.