Evidence map›Paper›PMID 25695966›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Mechanistic links between cellular trade-offs, gene expression, and growth.

Andrea Y Weiße, Diego A Oyarzún, Vincent Danos, Peter S Swain

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers.

0numbers the graph read from it
0cells of the map it votes in
203citing 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

203 citing papers in PubMed.

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  9. Suppression rather than activation of the integrated stress response (GCN2-ATF4) pathway extends lifespan in the fly.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Review
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143 more citing papers are in PubMed but not listed here.

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.

Andrea Y WeißeSynthSys-Synthetic & Systems Biology, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom; School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, United Kingdom;ORCID http://orcid.org/0000-0001-7786-8252
Diego A OyarzúnDepartment of Mathematics, Imperial College London, London SW7 2AZ, United Kingdom; and.
Vincent DanosSynthSys-Synthetic & Systems Biology, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom; School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, United Kingdom;
Peter S SwainSynthSys-Synthetic & Systems Biology, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom; School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom peter.swain@ed.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracellular processes rarely work in isolation but continually interact with the rest of the cell. In microbes, for example, we now know that gene expression across the whole genome typically changes with growth rate. The mechanisms driving such global regulation, however, are not well understood. Here we consider three trade-offs that, because of limitations in levels of cellular energy, free ribosomes, and proteins, are faced by all living cells and we construct a mechanistic model that comprises these trade-offs. Our model couples gene expression with growth rate and growth rate with a growing population of cells. We show that the model recovers Monod's law for the growth of microbes and two other empirical relationships connecting growth rate to the mass fraction of ribosomes. Further, we can explain growth-related effects in dosage compensation by paralogs and predict host-circuit interactions in synthetic biology. Simulating competitions between strains, we find that the regulation of metabolic pathways may have evolved not to match expression of enzymes to levels of extracellular substrates in changing environments but rather to balance a trade-off between exploiting one type of nutrient over another. Although coarse-grained, the trade-offs that the model embodies are fundamental, and, as such, our modeling framework has potentially wide application, including in both biotechnology and medicine.

Indexed as

Bacterial Physiological PhenomenaModels, BiologicalBacteriaCell ProliferationGene Expression Regulation, Bacterialevolutionarily stable strategyhost–circuit interactionsmathematical cell modelsynthetic biologysystems biology

Identifiers

PMID25695966
PMCPMC4352769

What OpenQuestion holds

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Read underepoch 390

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.