Evidence map›Paper›PMID 40440469›Full record

ArticleACS synthetic biology2025

Gene Expression Depends on the Interplay Among Growth, Resource Biogenesis, and Nutrient Quality.

Juhyun Kim, Alexander P S Darlington, Said Muñoz-Montero, Rafael Montenegro, Perrine Dalby, Noemí Herrera-Martín, Alice Banks, Satya Prakash, Karen Polizzi, Declan G Bates and 1 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A Safe and Versatile Minicell Platform Derived fromJournal of microbiology and biotechnology · 2025
    Article
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

11 authors.

Juhyun KimSchool of Life Science, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Republic of Korea.
Alexander P S DarlingtonSchool of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom.
Said Muñoz-MonteroDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Rafael MontenegroDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Perrine DalbyDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Noemí Herrera-MartínDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Alice BanksDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Satya PrakashDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Karen PolizziDepartment of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0001-5435-2667
Declan G BatesSchool of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0003-1395-9846
José I JiménezDepartment of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID 0000-0002-2700-9473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gene expression capacity of bacteria depends on the interplay between growth and the availability of the transcriptional and translational machinery. Growth rate is accepted as the physiological parameter controlling the allocation of cellular resources. Understanding the relationship between growth and resources is key for the efficient design of genetic constructs, but it is obscured by the mutual dependence between growth and gene expression. In this work, we investigate the contributions of molecular factors, growth rate, and metabolism to gene expression by investigating the behavior of bacterial cells grown in chemostats. Using a model of the whole cell and validating it experimentally, our results show that while growth rate and molecular factors, such as the number of rRNA operons, set the abundance of transcriptional and translational machinery, it is metabolism that governs the usage of resources by tuning elongation rates. We show, using a biotechnologically relevant example, that gene expression capacity can be maximized using low growth in a high-quality medium. These findings unveil fundamental trade-offs in physiology that will inform future bioprocess optimization.

Indexed as

Escherichia coliGene Expression Regulation, BacterialNutrientsProtein BiosynthesisrRNA OperonNutrientscellular economicsmetabolic burdenmetabolic constraints(p)ppGppresource allocationribosomes

Identifiers

PMID40440469
PMCPMC12186681

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.