Evidence map›Paper›PMID 28191902›Full record

ArticleNature biotechnology2017

Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit.

Apoorv Gupta, Irene M Brockman Reizman, Christopher R Reisch, Kristala L J Prather

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed
24.4field-weighted citation impact, top 1% of its field
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

179 citing papers in PubMed, 488 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Metabolic engineering ofApplied and environmental microbiology · 2026
    Review
  6. Engineered Optogenetic Circuits In Yeast with Self-Sustained Outputs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Synthetic and systems biotechnology · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. DNA Origami and Its Applications in Synthetic Biology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  18. EngineeringFrontiers in microbiology · 2026
    Review
  19. Article
  20. Balancing Cell Growth and Product Synthesis for Efficient Microbial Cell Factories.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review

119 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 at 1 institution in 1 country.

Apoorv GuptaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Irene M Brockman ReizmanDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0003-0585-2213
Christopher R ReischDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kristala L J PratherSynthetic Biology Engineering Research Center (SynBERC), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0003-0437-3157
Massachusetts Institute of Technology · US

Funding

Interdepartmental Biotechnology Training ProgramT32GM008334 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WITTRUP, KARL DANE · 1989 to 2018
$15.2M
NIGMS NIH HHS T32 GM008334
6 · The paper itself

Abstract

Metabolic engineering of microorganisms to produce desirable products on an industrial scale can result in unbalanced cellular metabolic networks that reduce productivity and yield. Metabolic fluxes can be rebalanced using dynamic pathway regulation, but few broadly applicable tools are available to achieve this. We present a pathway-independent genetic control module that can be used to dynamically regulate the expression of target genes. We apply our module to identify the optimal point to redirect glycolytic flux into heterologous engineered pathways in Escherichia coli, resulting in titers of myo-inositol increased 5.5-fold and titers of glucaric acid increased from unmeasurable to >0.8 g/L, compared to the parent strains lacking dynamic flux control. Scaled-up production of these strains in benchtop bioreactors resulted in almost ten- and fivefold increases in specific titers of myo-inositol and glucaric acid, respectively. We also used our module to control flux into aromatic amino acid biosynthesis to increase titers of shikimate in E. coli from unmeasurable to >100 mg/L.

Indexed as

Models, BiologicalComputer SimulationEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialMetabolic EngineeringMetabolic Flux AnalysisMetabolomeQuorum SensingSignal TransductionEscherichia coli Proteins

Identifiers

PMID28191902
PMCPMC5340623
OpenAlexW2588456700

What OpenQuestion holds

Textmetadata
LicenceTDM
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.