ArticleJournal of biological engineering2026
Growth control as a central regulator for tuning the cellular context.
Article in Journal of biological engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- The Landscape of Synthetic Biology and Bioengineering in Spain.Engineering biologyReview
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The cellular context decisively shapes genetic circuit performance, but the interplay between host and circuit remains difficult to control rationally. To address this challenge, we replaced the native regulatory machinery of RNA polymerase (RNAP) from the bacteria Pseudomonas putida KT2440 with an inducible system, enabling tunable growth regulation. This was achieved by placing the β and β' subunits under the control of the XylS-Pm inducible system, in a manner that cell growth can be tuned into distinct stable states using the cognate inducer 3-methylbenzoate. We correlated genetic circuit behaviour with the cell's growth state by observing reporter gene expression and the performance of genetic NOT gates, finding that the modulation of contextual dependencies is specific to the circuit components. Furthermore, a mathematical model classified this modulation into three categories based on how RNAP availability shapes host-circuit interaction. Additionally, growth control was used as an input for a two-input circuit building a NAND gate with the potential for morphological computing, where the cell's physical body undertakes information processing. Our findings suggest that growth control could be used as an engineering parameter with potential applications in the optimization of biocomputation, microbial consortia, and the development of digital twins.
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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.