Evidence map›Paper›PMID 27562138›Full record

ArticleNature communications2016

Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth.

Andreas Milias-Argeitis, Marc Rullan, Stephanie K Aoki, Peter Buchmann, Mustafa Khammash

Abstract readEvaluation Study
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Signal control during tissue regeneration in adult animals.Nature reviews. Molecular cell biology · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Dynamic Robust Control of Microbial Communities Using Cybergenetics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

44 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

5 authors.

Andreas Milias-ArgeitisDepartment of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland.
Marc RullanDepartment of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland.
Stephanie K AokiDepartment of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland.
Peter BuchmannDepartment of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland.
Mustafa KhammashDepartment of Biosystems Science and Engineering, ETH Zurich, Basel 4058, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic control of gene expression can have far-reaching implications for biotechnological applications and biological discovery. Thanks to the advantages of light, optogenetics has emerged as an ideal technology for this task. Current state-of-the-art methods for optical expression control fail to combine precision with repeatability and cannot withstand changing operating culture conditions. Here, we present a novel fully automatic experimental platform for the robust and precise long-term optogenetic regulation of protein production in liquid Escherichia coli cultures. Using a computer-controlled light-responsive two-component system, we accurately track prescribed dynamic green fluorescent protein expression profiles through the application of feedback control, and show that the system adapts to global perturbations such as nutrient and temperature changes. We demonstrate the efficacy and potential utility of our approach by placing a key metabolic enzyme under optogenetic control, thus enabling dynamic regulation of the culture growth rate with potential applications in bacterial physiology studies and biotechnology.

Indexed as

Cell ProliferationGene Expression RegulationAutomation, LaboratoryBiotechnologyCell Culture TechniquesCell CycleEscherichia coliEscherichia coli ProteinsFeedbackMethionineMethyltransferasesOptogeneticsEscherichia coli ProteinsmetE protein, E coliMethionineMethyltransferases

Identifiers

PMID27562138
PMCPMC5007438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.