Evidence map›Paper›PMID 28187134›Full record

ArticlePLoS computational biology2017

Metabolic regulation is sufficient for global and robust coordination of glucose uptake, catabolism, energy production and growth in Escherichia coli.

Pierre Millard, Kieran Smallbone, Pedro Mendes

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Microbial Production ofFoods (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. KinMod database: a tool for investigating metabolic regulation.Database : the journal of biological databases and curation · 2022
    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

3 authors.

Pierre MillardMCISB, Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom.
Kieran SmallboneMCISB, Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-2815-7045
Pedro MendesMCISB, Manchester Institute of Biotechnology, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-6507-9168

Funding

COPASI software for modeling and simulation of biochemical networksR01GM080219 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI HOOPS, STEFAN, MENDES, PEDRO · 2007 to 2019
$5.4M
Biotechnology and Biological Sciences Research Council BB/J019259/1Biotechnology and Biological Sciences Research Council BB/K019783/1NIGMS NIH HHS R01 GM080219
6 · The paper itself

Abstract

The metabolism of microorganisms is regulated through two main mechanisms: changes of enzyme capacities as a consequence of gene expression modulation ("hierarchical control") and changes of enzyme activities through metabolite-enzyme interactions. An increasing body of evidence indicates that hierarchical control is insufficient to explain metabolic behaviors, but the system-wide impact of metabolic regulation remains largely uncharacterized. To clarify its role, we developed and validated a detailed kinetic model of Escherichia coli central metabolism that links growth to environment. Metabolic control analyses confirm that the control is widely distributed across the network and highlight strong interconnections between all the pathways. Exploration of the model solution space reveals that several robust properties emerge from metabolic regulation, from the molecular level (e.g. homeostasis of total metabolite pool) to the overall cellular physiology (e.g. coordination of carbon uptake, catabolism, energy and redox production, and growth), while allowing a large degree of flexibility at most individual metabolic steps. These properties have important physiological implications for E. coli and significantly expand the self-regulating capacities of its metabolism.

Indexed as

Models, BiologicalCell ProliferationComputer SimulationEnergy MetabolismEscherichia coliGene Expression Regulation, BacterialGene Expression Regulation, EnzymologicGlucoseMetabolic Flux AnalysisMetabolic Networks and PathwaysMetabolismSignal TransductionGlucose

Identifiers

PMID28187134
PMCPMC5328398

What OpenQuestion holds

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LicenceCC BY
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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.