ArticleScience advances2020
Interfacing gene circuits with microelectronics through engineered population dynamics.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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
14 citing papers in PubMed.
- A programmable living force sensor fabricated with surface engineered microbial network.Nature communications · 2026Article
- Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Optimal network sizes for most robust Turing patterns.Scientific reports · 2025Article
- Unraveling biochemical spatial patterns: Machine learning approaches to the inverse problem of stationary Turing patterns.iScience · 2024Article
- Fitness cost associated with cell phenotypic switching drives population diversification dynamics and controllability.Nature communications · 2023Article
- Sub-1.4 cmNature · 2023Article
- Hardware, Software, and Wetware Codesign Environment for Synthetic Biology.Biodesign research · 2022Review
- Exploiting Information and Control Theory for Directing Gene Expression in Cell Populations.Frontiers in microbiology · 2022Review
- Electronic signals are electrogenetically relayed to control cell growth and co-culture composition.Metabolic engineering communications · 2021Article
- Recent advances in biomedical, biosensor and clinical measurement devices for use in humans and the potential application of these technologies for the study of physiology and disease in wild animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Synthetic biology as driver for the biologization of materials sciences.Materials today. Bio · 2021Review
- Applications, challenges, and needs for employing synthetic biology beyond the lab.Nature communications · 2021Review
- Robust direct digital-to-biological data storage in living cells.Nature chemical biology · 2021Article
- Medical Micro/Nanorobots in Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While there has been impressive progress connecting bacterial behavior with electrodes, an attractive observation to facilitate advances in synthetic biology is that the growth of a bacterial colony can be determined from impedance changes over time. Here, we interface synthetic biology with microelectronics through engineered population dynamics that regulate the accumulation of charged metabolites. We demonstrate electrical detection of the bacterial response to heavy metals via a population control circuit. We then implement this approach to a synchronized genetic oscillator where we obtain an oscillatory impedance profile from engineered bacteria. We lastly miniaturize an array of electrodes to form "bacterial integrated circuits" and demonstrate its applicability as an interface with genetic circuits. This approach paves the way for new advances in synthetic biology, analytical chemistry, and microelectronic technologies.
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.