Evidence map›Paper›PMID 39754601›Full record

ArticleACS synthetic biology2025

Fine-Tuning Genetic Circuits via Host Context and RBS Modulation.

Dennis Tin Chat Chan, Lena Winter, Johan Bjerg, Stina Krsmanovic, Geoff S Baldwin, Hans C Bernstein

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dennis Tin Chat ChanFaculty of Biosciences, Fisheries and Economics, UiT─The Arctic University of Norway, 9019 Tromsø, Norway.
Lena WinterFaculty of Biosciences, Fisheries and Economics, UiT─The Arctic University of Norway, 9019 Tromsø, Norway.
Johan BjergFaculty of Biosciences, Fisheries and Economics, UiT─The Arctic University of Norway, 9019 Tromsø, Norway.
Stina KrsmanovicFaculty of Biosciences, Fisheries and Economics, UiT─The Arctic University of Norway, 9019 Tromsø, Norway.
Geoff S BaldwinDepartment of Life Sciences, Imperial College London, South Kensington, London SW7 2AZ, U.K.
Hans C BernsteinFaculty of Biosciences, Fisheries and Economics, UiT─The Arctic University of Norway, 9019 Tromsø, Norway.ORCID 0000-0003-2913-7708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The choice of organism to host a genetic circuit, the chassis, is often defaulted to model organisms due to their amenability. The chassis-design space has therefore remained underexplored as an engineering variable. In this work, we explored the design space of a genetic toggle switch through variations in nine ribosome binding site compositions and three host contexts, creating 27 circuit variants. Characterization of performance metrics in terms of toggle switch output and host growth dynamics unveils a spectrum of performance profiles from our circuit library. We find that changes in host context cause large shifts in overall performance, while modulating ribosome binding sites leads to more incremental changes. We find that a combined ribosome binding site and host context modulation approach can be used to fine-tune the properties of a toggle switch according to user-defined specifications, such as toward greater signaling strength, inducer sensitivity, or both. Other auxiliary properties, such as inducer tolerance, are also exclusively accessed through changes in the host context. We demonstrate here that exploration of the chassis-design space can offer significant value, reconceptualizing the chassis organism as an important part in the synthetic biologist's toolbox with important implications for the field of synthetic biology.

Indexed as

Gene Regulatory NetworksRibosomesBinding SitesEscherichia coliSynthetic Biologybiodesignbroad-host-rangechassis effectcontext dependencegenetic circuitsynthetic biology

Identifiers

PMID39754601
PMCPMC11744933

What OpenQuestion holds

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Registered trials

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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.