Evidence map›Paper›PMID 25868062›Full record

ReviewBiotechnology journal2015

Dynamic metabolic engineering: New strategies for developing responsive cell factories.

Irene M Brockman, Kristala L J Prather

Open access · bronzeAbstract readReview
In one paragraph

Review in Biotechnology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
9.6field-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

62 citing papers in PubMed, 183 citations in OpenAlex.

  1. Article
  2. Reinforcement Learning for Robust Dynamic Metabolic Control.Biotechnology and bioengineering · 2026
    Article
  3. Article
  4. Article
  5. 2-Stage microfermentations.Metabolic engineering communications · 2024
    Article
  6. Article
  7. Article
  8. OptimizingFrontiers in microbiology · 2024
    Review
  9. Green Biologics: Harnessing the Power of Plants to Produce Pharmaceuticals.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. The transcription activator AtxA fromSynthetic biology (Oxford, England) · 2022
    Article

2 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

2 authors at 1 institution in 1 country.

Irene M BrockmanDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Kristala L J PratherDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. kljp@mit.edu.
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 GM008334NIGMS NIH HHS T32GM008334
6 · The paper itself

Abstract

Metabolic engineering strategies have enabled improvements in yield and titer for a variety of valuable small molecules produced naturally in microorganisms, as well as those produced via heterologous pathways. Typically, the approaches have been focused on up- and downregulation of genes to redistribute steady-state pathway fluxes, but more recently a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium. This review highlights some of the recently published work related to dynamic metabolic engineering strategies and explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems. Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates. The implementation is more complex relative to static control, but advances in screening techniques and DNA synthesis will continue to drive innovation in this field.

Indexed as

Metabolic EngineeringMetabolic Networks and PathwaysSynthetic BiologyEscherichia coliGene expressionMetabolic engineeringMetabolite sensorsSynthetic biology

Identifiers

PMID25868062
PMCPMC4629492
OpenAlexW2083878238

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.