Evidence map›Paper›PMID 29380150›Full record

ArticleJournal of industrial microbiology & biotechnology2018

Dynamic metabolic control: towards precision engineering of metabolism.

Di Liu, Ahmad A Mannan, Yichao Han, Diego A Oyarzún, Fuzhong Zhang

Abstract read
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In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Transporter Engineering for Enhancing Citric Acid Production inJournal of fungi (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Recent trends in microbial production of alkanes.World journal of microbiology & biotechnology · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Biotransformation of ethylene glycol by engineeredSynthetic and systems biotechnology · 2024
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
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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.

Di LiuDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Ahmad A MannanDepartment of Mathematics, Imperial College London, London, SW7 2AZ, UK.
Yichao HanDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Diego A OyarzúnDepartment of Mathematics, Imperial College London, London, SW7 2AZ, UK. d.oyarzun@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0381-5278
Fuzhong ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA. fzhang@seas.wustl.edu.ORCID http://orcid.org/0000-0001-6979-7909

Funding

Division of Molecular and Cellular Biosciences MCB1453147Human Frontier Science Program (FR) RGY0076-2015
6 · The paper itself

Abstract

Advances in metabolic engineering have led to the synthesis of a wide variety of valuable chemicals in microorganisms. The key to commercializing these processes is the improvement of titer, productivity, yield, and robustness. Traditional approaches to enhancing production use the "push-pull-block" strategy that modulates enzyme expression under static control. However, strains are often optimized for specific laboratory set-up and are sensitive to environmental fluctuations. Exposure to sub-optimal growth conditions during large-scale fermentation often reduces their production capacity. Moreover, static control of engineered pathways may imbalance cofactors or cause the accumulation of toxic intermediates, which imposes burden on the host and results in decreased production. To overcome these problems, the last decade has witnessed the emergence of a new technology that uses synthetic regulation to control heterologous pathways dynamically, in ways akin to regulatory networks found in nature. Here, we review natural metabolic control strategies and recent developments in how they inspire the engineering of dynamically regulated pathways. We further discuss the challenges of designing and engineering dynamic control and highlight how model-based design can provide a powerful formalism to engineer dynamic control circuits, which together with the tools of synthetic biology, can work to enhance microbial production.

Indexed as

Metabolic Networks and PathwaysBacterial ProteinsBiosensing TechniquesFermentationMetabolic EngineeringSynthetic BiologyBacterial ProteinsBiosensorsDynamic metabolic controlGenetic circuitsModel-based designSynthetic biology

Identifiers

What OpenQuestion holds

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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.