Evidence map›Paper›PMID 29578536›Full record

ArticleNature methods2018

Burden-driven feedback control of gene expression.

Francesca Ceroni, Alice Boo, Simone Furini, Thomas E Gorochowski, Olivier Borkowski, Yaseen N Ladak, Ali R Awan, Charlie Gilbert, Guy-Bart Stan, Tom Ellis

Abstract read
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In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers.

0numbers the graph read from it
0cells of the map it votes in
191citing 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

191 citing papers in PubMed.

  1. Article
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  11. Review
  12. Article
  13. Going beyond size: exploring the metabolic burden inSynthetic biology (Oxford, England) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

131 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

10 authors.

Francesca CeroniDepartment of Chemical Engineering, Imperial College London, London, UK.
Alice BooImperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Simone FuriniDepartment of Medical Biotechnologies, University of Siena, Siena, Italy.ORCID 0000-0002-1099-8279
Thomas E GorochowskiBrisSynBio, University of Bristol, Bristol, UK.
Olivier BorkowskiImperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Yaseen N LadakITMAT Data Science Group, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Ali R AwanImperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Charlie GilbertImperial College Centre for Synthetic Biology, Imperial College London, London, UK.
Guy-Bart StanImperial College Centre for Synthetic Biology, Imperial College London, London, UK.ORCID 0000-0002-5560-902X
Tom EllisImperial College Centre for Synthetic Biology, Imperial College London, London, UK.ORCID 0000-0001-5392-976X

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1
6 · The paper itself

Abstract

Cells use feedback regulation to ensure robust growth despite fluctuating demands for resources and differing environmental conditions. However, the expression of foreign proteins from engineered constructs is an unnatural burden that cells are not adapted for. Here we combined RNA-seq with an in vivo assay to identify the major transcriptional changes that occur in Escherichia coli when inducible synthetic constructs are expressed. We observed that native promoters related to the heat-shock response activated expression rapidly in response to synthetic expression, regardless of the construct. Using these promoters, we built a dCas9-based feedback-regulation system that automatically adjusts the expression of a synthetic construct in response to burden. Cells equipped with this general-use controller maintained their capacity for native gene expression to ensure robust growth and thus outperformed unregulated cells in terms of protein yield in batch production. This engineered feedback is to our knowledge the first example of a universal, burden-based biomolecular control system and is modular, tunable and portable.

Indexed as

Synthetic BiologyEscherichia coliGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingPlasmidsPromoter Regions, GeneticSequence Analysis, RNATranscription, Genetic

Identifiers

PMID29578536

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.