Evidence map›Paper›PMID 31882965›Full record

ArticleScientific reports2019

Intracellular Energy Variability Modulates Cellular Decision-Making Capacity.

Ryan Kerr, Sara Jabbari, Iain G Johnston

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact, top 87% 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

8 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Mitochondrial signal transduction.Cell metabolism · 2022
    Review
  6. Article
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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 at 2 institutions in 2 countries.

Ryan KerrSchool of Mathematics & Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0002-3454-7640
Sara JabbariSchool of Mathematics & Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0001-5235-0406
Iain G JohnstonDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, University of Bergen, Bergen, Norway. iain.johnston@uib.no.ORCID http://orcid.org/0000-0001-8559-3519
University of Birmingham · GBTuring Institute · GB

Funding

RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/M021386/1Wellcome Trust 108876/Z/15/Z
6 · The paper itself

Abstract

Cells generate phenotypic diversity both during development and in response to stressful and changing environments, aiding survival. Functionally vital cell fate decisions from a range of phenotypic choices are made by regulatory networks, the dynamics of which rely on gene expression and hence depend on the cellular energy budget (and particularly ATP levels). However, despite pronounced cell-to-cell ATP differences observed across biological systems, the influence of energy availability on regulatory network dynamics is often overlooked as a cellular decision-making modulator, limiting our knowledge of how energy budgets affect cell behaviour. Here, we consider a mathematical model of a highly generalisable, ATP-dependent, decision-making regulatory network, and show that cell-to-cell ATP variability changes the sets of decisions a cell can make. Our model shows that increasing intracellular energy levels can increase the number of supported stable phenotypes, corresponding to increased decision-making capacity. Model cells with sub-threshold intracellular energy are limited to a singular phenotype, forcing the adoption of a specific cell fate. We suggest that energetic differences between cells may be an important consideration to help explain observed variability in cellular decision-making across biological systems.

Indexed as

Energy MetabolismGene Regulatory NetworksAdenosine TriphosphateCell LineageModels, BiologicalPhenotypeAdenosine Triphosphate

Identifiers

PMID31882965
PMCPMC6934696
OpenAlexW2996549684

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.