Evidence map›Paper›PMID 33852189›Full record

ArticleMolecular systems biology2021

Global coordination of metabolic pathways in Escherichia coli by active and passive regulation.

Karl Kochanowski, Hiroyuki Okano, Vadim Patsalo, James Williamson, Uwe Sauer, Terence Hwa

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
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  6. Matters of life and death in computational cell biology.NPJ systems biology and applications · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. cAMP-independent Crp homolog adds to the multi-layer regulatory network inFrontiers in cellular and infection microbiology · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Tradeoffs in bacterial physiology determine the efficiency of antibiotic killing.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

6 authors.

Karl KochanowskiInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-1884-7694
Hiroyuki OkanoDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.
Vadim PatsaloDepartment of Integrative Structural and Computational Biology, and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.ORCID 0000-0001-6047-5858
James WilliamsonDepartment of Integrative Structural and Computational Biology, and The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.
Uwe SauerInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-5923-0770
Terence HwaDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.

Funding

Dynamics of the Bacterial Ribosome and Proteome (Equipment Supplement)R35GM136412 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI James R Williamson · 2020 to 2026
$4.9M
Quantitative Studies of Bacterial Growth PhysiologyR01GM095903 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2011 to 2023
$3.8M
Quantitative Studies of Metabolic Switches in enteric bacteriaR01GM109069 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2014 to 2022
$3.0M
Dynamics of the Bacterial ProteomeR01GM118850 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WILLIAMSON, JAMES R · 2016 to 2019
$1.6M
NIGMS NIH HHS R01 GM095903NIGMS NIH HHS R01 GM109069NIGMS NIH HHS R01 GM118850NIGMS NIH HHS R35 GM136412
6 · The paper itself

Abstract

Microorganisms adjust metabolic activity to cope with diverse environments. While many studies have provided insights into how individual pathways are regulated, the mechanisms that give rise to coordinated metabolic responses are poorly understood. Here, we identify the regulatory mechanisms that coordinate catabolism and anabolism in Escherichia coli. Integrating protein, metabolite, and flux changes in genetically implemented catabolic or anabolic limitations, we show that combined global and local mechanisms coordinate the response to metabolic limitations. To allocate proteomic resources between catabolism and anabolism, E. coli uses a simple global gene regulatory program. Surprisingly, this program is largely implemented by a single transcription factor, Crp, which directly activates the expression of catabolic enzymes and indirectly reduces the expression of anabolic enzymes by passively sequestering cellular resources needed for their synthesis. However, metabolic fluxes are not controlled by this regulatory program alone; instead, fluxes are adjusted mostly through passive changes in the local metabolite concentrations. These mechanisms constitute a simple but effective global regulatory program that coarsely partitions resources between different parts of metabolism while ensuring robust coordination of individual metabolic reactions.

Indexed as

Gene Expression Regulation, BacterialMetabolic Networks and PathwaysEscherichia coliEscherichia coli ProteinsMetabolic Flux AnalysisTrans-ActivatorsTranscription FactorsTranscription, GeneticEscherichia coli ProteinsTrans-ActivatorsTranscription Factors13C flux analysisCrpmetabolomicsproteomicsregulation analysis

Identifiers

PMID33852189
PMCPMC8045939

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Registered trials

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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.