Evidence map›Paper›PMID 41485423›Full record

ReviewCurrent opinion in microbiology2026

Model-guided design of regulatable promoters for synthetic biology.

Robert C Brewster, Vinuselvi Parisutham

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 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

2 authors.

Robert C BrewsterDepartment of Systems Biology, UMass Chan Medical School, Worcester MA 01605, USA. Electronic address: Robert.c.brewster@umassmed.edu.
Vinuselvi ParisuthamDepartment of Systems Biology, UMass Chan Medical School, Worcester MA 01605, USA.

Funding

Uncovering the fundamental principles of transcriptional regulationR35GM128797 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BREWSTER, ROBERT CHARLES · 2018 to 2022
$2.1M
NIGMS NIH HHS R35 GM128797
6 · The paper itself

Abstract

Designing regulatable promoters with specified functional output remains difficult because natural promoters are unlikely to match a particular specification, and the sequence design space is large, complex, and challenging to interpret. This review advances a context-minimized, measurement-first approach in Escherichia coli that couples simple assays to a single transcription factor (TF)-based thermodynamic framework. The model is structured around two key concepts related to the TF: occupancy and function. Here, we outline how these concepts can be manipulated and measured at the level of DNA sequence and how those perturbations can impact fold-change and thus features of the promoter, such as dynamic range, leakiness, and sensitivity. LacI serves as a worked example in which sequence-occupancy, copy number, and competition, position-dependent function, and inducer allostery have been measured and can be combined to optimize response features. Overall, simple measurements linked to interpretable models provide a practical route to compiling desired regulatory specifications into sequence-level designs.

Indexed as

Escherichia coliPromoter Regions, GeneticSynthetic BiologyEscherichia coli ProteinsGene Expression Regulation, BacterialModels, GeneticThermodynamicsTranscription FactorsEscherichia coli ProteinsTranscription Factors

Identifiers

PMID41485423
PMCPMC13158997

What OpenQuestion holds

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Registered trials

None linked

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.