Evidence map›Paper›PMID 26189665›Full record

ReviewMetabolic engineering2015

Precision metabolic engineering: The design of responsive, selective, and controllable metabolic systems.

Monica P McNerney, Daniel M Watstein, Mark P Styczynski

Abstract readReview
In one paragraph

Review in Metabolic engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Metabolic Dynamics inACS synthetic biology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. In vivo biosensors: mechanisms, development, and applications.Journal of industrial microbiology & biotechnology · 2018
    Article
  16. Small molecule signaling, regulation, and potential applications in cellular therapeutics.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  17. Article
  18. Article
  19. Article
  20. Whole-cell biocatalysts by design.Microbial cell factories · 2017
    Review
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

3 authors.

Monica P McNerneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332-0100, USA.
Daniel M WatsteinSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332-0100, USA.
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA 30332-0100, USA. Electronic address: Mark.Styczynski@chbe.gatech.edu.

Funding

Graduate Training for Rationally Designed, Integrative Biomaterials - GT BioMATT32EB006343 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI TEMENOFF, JOHNNA S · 2008 to 2018
$2.2M
NIBIB NIH HHS T32 EB006343NIBIB NIH HHS T32-EB0064343
6 · The paper itself

Abstract

Metabolic engineering is generally focused on static optimization of cells to maximize production of a desired product, though recently dynamic metabolic engineering has explored how metabolic programs can be varied over time to improve titer. However, these are not the only types of applications where metabolic engineering could make a significant impact. Here, we discuss a new conceptual framework, termed "precision metabolic engineering," involving the design and engineering of systems that make different products in response to different signals. Rather than focusing on maximizing titer, these types of applications typically have three hallmarks: sensing signals that determine the desired metabolic target, completely directing metabolic flux in response to those signals, and producing sharp responses at specific signal thresholds. In this review, we will first discuss and provide examples of precision metabolic engineering. We will then discuss each of these hallmarks and identify which existing metabolic engineering methods can be applied to accomplish those tasks, as well as some of their shortcomings. Ultimately, precise control of metabolic systems has the potential to enable a host of new metabolic engineering and synthetic biology applications for any problem where flexibility of response to an external signal could be useful.

Indexed as

Metabolic EngineeringBiosensing TechniquesGene DosageMetabolic Networks and PathwaysPromoter Regions, GeneticProtein EngineeringQuorum SensingSignal TransductionSynthetic BiologyTranscription, GeneticMetabolic controlPathway regulationPrecision metabolic engineeringProduct selectivitySensory systemsSynthetic biology

Identifiers

PMID26189665
PMCPMC4770000

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.