Evidence map›Paper›PMID 42420728›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture.

Scott B Stacey, Ting An Lee, Olivia Gallup, Eszter Csibra, Antonis Papachristodoulou, Harrison Steel, Kirill Sechkar

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Article in Methods in molecular biology (Clifton, N.J.), 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
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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

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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

7 authors.

Scott B StaceyDepartment of Engineering Science, University of Oxford, Oxford, UK. scott.stacey@eng.ox.ac.uk.
Ting An LeeDepartment of Engineering Science, University of Oxford, Oxford, UK.
Olivia GallupDepartment of Engineering Science, University of Oxford, Oxford, UK.
Eszter CsibraFaculty of Biological Sciences, University of Leeds, Leeds, UK.
Antonis PapachristodoulouDepartment of Engineering Science, University of Oxford, Oxford, UK.
Harrison SteelDepartment of Engineering Science, University of Oxford, Oxford, UK.
Kirill SechkarDepartment of Engineering Science, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite rapid improvements in our ability to engineer novel biological systems, robust biodesign of synthetic gene circuits-networks of synthetic genes regulating each other-has been limited by a lack of standardized methods for understanding and reproducibly characterizing their behavior in complex cellular contexts and over long timescales. The challenges underlying this include the complexity of biological interactions and the cellular contexts, changes in the cell culture environment over time, and the use of inconsistent measurement techniques in synthetic biology. Here, we describe a methodology for characterizing engineered biological systems while addressing these issues with the help of mathematical modeling, continuous cell culture, and absolute quantification of protein and cell numbers. As a case study, the characterization of a simple small RNA circuit in the Chi.Bio bioreactor platform is considered. We describe the biological system design choices, preparation of calibrants, running an experiment in Chi.Bio, the use of resulting data to obtain calibrated measurements in absolute units, and parameterization of a mathematical model of the engineered system. By coupling computational methods with precise control of cellular environments and robust experimental measurements, this interdisciplinary approach can produce more informative data and new insights into the design of engineered biological systems.

Indexed as

Gene Regulatory NetworksGenes, SyntheticSynthetic BiologyBioreactorsCell Culture TechniquesAbsolute quantificationBioreactorCharacterizationContinuous cultureMathematical modelQuantitativeRobust characterizationSynthetic biologySystems biology

Identifiers

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.