Evidence map›Paper›PMID 24686285›Full record

ReviewCurrent opinion in biotechnology2014

Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.

Christopher P Long, Maciek R Antoniewicz

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Metabolic engineering ofFood chemistry: X · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genome-Scale Fluxome ofPlant physiology · 2019
    Article
  12. Article
  13. Dissecting the genetic and metabolic mechanisms of adaptation to the knockout of a major metabolic enzyme inProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  14. Article
  15. Article
  16. Metabolic engineering · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Christopher P LongDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE 19716, USA.
Maciek R AntoniewiczDepartment of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, DE 19716, USA. Electronic address: mranton@udel.edu.

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
NIGMS NIH HHS T32 GM008550
6 · The paper itself

Abstract

Cellular metabolic and regulatory systems are of fundamental interest to biologists and engineers. Incomplete understanding of these complex systems remains an obstacle to progress in biotechnology and metabolic engineering. An established method for obtaining new information on network structure, regulation and dynamics is to study the cellular system following a perturbation such as a genetic knockout. The Keio collection of all viable Escherichia coli single-gene knockouts is facilitating a systematic investigation of the regulation and metabolism of E. coli. Of all omics measurements available, the metabolic flux profile (the fluxome) provides the most direct and relevant representation of the cellular phenotype. Recent advances in (13)C-metabolic flux analysis are now permitting highly precise and accurate flux measurements for investigating cellular systems and guiding metabolic engineering efforts.

Indexed as

Metabolic Flux AnalysisBiotechnologyEnergy MetabolismEscherichia coliEscherichia coli ProteinsGene Knockout TechniquesMetabolomeEscherichia coli Proteins

Identifiers

PMID24686285
PMCPMC5842030

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.