Evidence map›Paper›PMID 32927059›Full record

ReviewMetabolic engineering2021

Dynamic control in metabolic engineering: Theories, tools, and applications.

Christopher J Hartline, Alexander C Schmitz, Yichao Han, Fuzhong Zhang

Abstract readReview
In one paragraph

Review in Metabolic engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. ModulatingSynthetic and systems biotechnology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Metabolic engineering ofApplied and environmental microbiology · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Multicriteria evaluation of ethylene glycol assimilation pathways.Journal of industrial microbiology & biotechnology · 2026
    Article
  15. Reinforcement Learning for Robust Dynamic Metabolic Control.Biotechnology and bioengineering · 2026
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Balancing Cell Growth and Product Synthesis for Efficient Microbial Cell Factories.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review

20 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.

Christopher J HartlineDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA.
Alexander C SchmitzDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA.
Yichao HanDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA.
Fuzhong ZhangDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA; Division of Biological & Biomedical Sciences, Washington University in St. Louis, Saint Louis, MO, 63130, USA; Institute of Materials Science & Engineering, Washington University in St. Louis, Saint Louis, MO, 63130, USA. Electronic address: fzhang@seas.wustl.edu.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Supplement for Purchase of a Cell Sorter for R35GM133797R35GM133797 · NIGMS · WASHINGTON UNIVERSITY · PI ZHANG, FUZHONG · 2019 to 2023
$2.2M
NHGRI NIH HHS T32 HG000045NIGMS NIH HHS R35 GM133797
6 · The paper itself

Abstract

Metabolic engineering has allowed the production of a diverse number of valuable chemicals using microbial organisms. Many biological challenges for improving bio-production exist which limit performance and slow the commercialization of metabolically engineered systems. Dynamic metabolic engineering is a rapidly developing field that seeks to address these challenges through the design of genetically encoded metabolic control systems which allow cells to autonomously adjust their flux in response to their external and internal metabolic state. This review first discusses theoretical works which provide mechanistic insights and design choices for dynamic control systems including two-stage, continuous, and population behavior control strategies. Next, we summarize molecular mechanisms for various sensors and actuators which enable dynamic metabolic control in microbial systems. Finally, important applications of dynamic control to the production of several metabolite products are highlighted, including fatty acids, aromatics, and terpene compounds. Altogether, this review provides a comprehensive overview of the progress, advances, and prospects in the design of dynamic control systems for improved titer, rate, and yield metrics in metabolic engineering.

Indexed as

Metabolic EngineeringBiosensorsDynamic metabolic controlDynamic metabolic engineeringGenetic circuitsSynthetic biology

Identifiers

PMID32927059
PMCPMC8015268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.