Evidence map›Paper›PMID 42125829›Full record

ArticleACS synthetic biology2026

Quantitative Measurement of Synthetic Repression Curves Reveals Design Challenges for Genetic Circuit Engineering under Growth Arrest.

John P Marken, Mark L Prator, Bruce A Hay, Richard M Murray

Abstract read
In one paragraph

Article in ACS synthetic biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

John P MarkenDivision of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, California91125, United States.ORCID 0000-0001-9696-088X
Mark L PratorDivision of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, California91125, United States.
Bruce A HayDivision of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, California91125, United States.ORCID 0000-0002-5486-0482
Richard M MurrayDivision of Biology and Biological Engineering, California Institute of Technology, 1200 E. California Blvd., Pasadena, California91125, United States.ORCID 0000-0002-5785-7481

Funding

Institute for Collaborative Biotechnologies W911NF-19-D-0001Resnick Sustainability Institute for Science, Energy and Sustainability, California Institute of Technology NA
6 · The paper itself

Abstract

Despite the fact that microbes in natural environments spend most of their time in growth arrest, we understand little about how this physiological state affects the performance of engineered genetic circuits. Here, we measure repression curves from a library of genetic NOT gates at single-cell resolution in Escherichia coli under both active growth and growth arrest to systematically investigate how growth arrest affects circuit behavior. We find that the impact of growth arrest on circuit performance is almost entirely dominated by a >100-fold reduction in unrepressed expression levels. Growth arrest caused gene expression noise to increase only moderately and had minimal impact on the sensitivity and sharpness of the repression curves. Our work shows both that conventional genetic circuit design paradigms are currently insufficient to develop circuits that can function properly under growth arrest, and that addressing the reduction in just a single performance parameter would be sufficient to resolve this problem. This work expands our understanding of bacterial gene regulation under growth arrest and lays the groundwork for new design paradigms that will be essential to ensure the safe and reliable performance of synthetic biology systems in real-world environments.

Indexed as

Escherichia coliGene Regulatory NetworksGenetic EngineeringGene Expression Regulation, BacterialSynthetic Biologygene regulationgenetic circuitsgrowth arrestmicrobial physiologysynthetic biology

Identifiers

PMID42125829
PMCPMC13505334

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.