Evidence map›Paper›PMID 27159581›Full record

ArticleNature chemical biology2016

Metabolite concentrations, fluxes and free energies imply efficient enzyme usage.

Junyoung O Park, Sara A Rubin, Yi-Fan Xu, Daniel Amador-Noguez, Jing Fan, Tomer Shlomi, Joshua D Rabinowitz

Abstract read
In one paragraph

Article in Nature chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers.

0numbers the graph read from it
0cells of the map it votes in
234citing 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

234 citing papers in PubMed.

  1. Trial
  2. Global proteolysis during starvation governs proteome remodeling and a survival-regrowth trade-off in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  18. Article
  19. Article
  20. Article

174 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

7 authors.

Junyoung O ParkLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.ORCID 0000-0001-9869-8993
Sara A RubinDepartment of Chemistry, Princeton University, Princeton, New Jersey, USA.
Yi-Fan XuLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Daniel Amador-NoguezLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Jing FanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Tomer ShlomiDepartment of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel.
Joshua D RabinowitzLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.

Funding

Tumor cell metabolism in actionR01CA163591 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI JOSHUA D RABINOWITZ, Eileen P. White · 2012 to 2026
$7.0M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA163591
6 · The paper itself

Abstract

In metabolism, available free energy is limited and must be divided across pathway steps to maintain a negative ΔG throughout. For each reaction, ΔG is log proportional both to a concentration ratio (reaction quotient to equilibrium constant) and to a flux ratio (backward to forward flux). Here we use isotope labeling to measure absolute metabolite concentrations and fluxes in Escherichia coli, yeast and a mammalian cell line. We then integrate this information to obtain a unified set of concentrations and ΔG for each organism. In glycolysis, we find that free energy is partitioned so as to mitigate unproductive backward fluxes associated with ΔG near zero. Across metabolism, we observe that absolute metabolite concentrations and ΔG are substantially conserved and that most substrate (but not inhibitor) concentrations exceed the associated enzyme binding site dissociation constant (Km or Ki). The observed conservation of metabolite concentrations is consistent with an evolutionary drive to utilize enzymes efficiently given thermodynamic and osmotic constraints.

Indexed as

ThermodynamicsAnimalsCell LineEnzymesEscherichia coliMiceSaccharomyces cerevisiaeEnzymes

Identifiers

PMID27159581
PMCPMC4912430

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.