Evidence map›Paper›PMID 29844352›Full record

ArticleScientific reports2018

A physical model of cell metabolism.

Jorge Fernandez-de-Cossio-Diaz, Alexei Vazquez

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Metabolic features of tumor-derived extracellular vesicles: challenges and opportunities.Extracellular vesicles and circulating nucleic acids · 2024
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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  13. Coevolution of body size and metabolic rate in vertebrates: a life-history perspective.Biological reviews of the Cambridge Philosophical Society · 2020
    Article
  14. 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 at 2 institutions in 2 countries.

Jorge Fernandez-de-Cossio-DiazCenter of Molecular Immunology, Havana, Cuba.
Alexei VazquezCancer Research UK Beatson Institute, Glasgow, UK. a.vazquez@beatson.gla.ac.uk.ORCID 0000-0003-2764-3244
Cancer Research UK Scotland Institute · GBCenter of Molecular Immunology (Cuba) · CU

Funding

Cancer Research UK 21140Cancer Research UK C596/A21140
6 · The paper itself

Abstract

Cell metabolism is characterized by three fundamental energy demands: to sustain cell maintenance, to trigger aerobic fermentation and to achieve maximum metabolic rate. The transition to aerobic fermentation and the maximum metabolic rate are currently understood based on enzymatic cost constraints. Yet, we are lacking a theory explaining the maintenance energy demand. Here we report a physical model of cell metabolism that explains the origin of these three energy scales. Our key hypothesis is that the maintenance energy demand is rooted on the energy expended by molecular motors to fluidize the cytoplasm and counteract molecular crowding. Using this model and independent parameter estimates we make predictions for the three energy scales that are in quantitative agreement with experimental values. The model also recapitulates the dependencies of cell growth with extracellular osmolarity and temperature. This theory brings together biophysics and cell biology in a tractable model that can be applied to understand key principles of cell metabolism.

Indexed as

Cellular MicroenvironmentEnergy MetabolismHomeostasisModels, TheoreticalMolecular Motor ProteinsMolecular Motor Proteins

Identifiers

PMID29844352
PMCPMC5974398
OpenAlexW2950996019

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.