Evidence map›Paper›PMID 31591210›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Dynamics of living cells in a cytomorphological state space.

Amy Y Chang, Wallace F Marshall

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. 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
–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

14 citing papers in PubMed.

  1. Article
  2. Representing Mitochondrial Dynamics with Abstract Algebra.bioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
  5. Single-cell CaJournal of the Royal Society, Interface · 2023
    Article
  6. Article
  7. Reduced Nucleotides, Thiols and OAntioxidants (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Scaling of Subcellular Structures.Annual review of cell and developmental biology · 2020
    Review
  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.

Amy Y ChangBiophysics Graduate Group, University of California, San Francisco, CA 94158.
Wallace F MarshallDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA 94158 wallace.marshall@ucsf.edu.ORCID 0000-0002-8467-5763

Funding

Origins of Cell GeometryR35GM130327 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wallace Marshall · 2019 to 2026
$5.3M
Modeling and Analysis of the Flagellar Length Control SystemR01GM097017 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE · 2011 to 2018
$2.1M
NIGMS NIH HHS R01 GM097017NIGMS NIH HHS R35 GM130327
6 · The paper itself

Abstract

Cells are nonequilibrium systems that exchange matter and energy with the environment to sustain their metabolic needs. The nonequilibrium nature of this system presents considerable challenges to developing a general theory describing its behavior; however, when studied at appropriate spatiotemporal scales, the behavior of ensembles of nonequilibrium systems can resemble that of a system at equilibrium. Here we apply this principle to a population of cells within a cytomorphological state space and demonstrate that cellular transition dynamics within this space can be described using equilibrium formalisms. We use this framework to map the effective energy landscape underlying the cytomorphological state space of a population of mouse embryonic fibroblasts (MEFs) and identify topographical nonuniformity in this space, indicating nonuniform occupation of cytomorphological states within an isogenic population. The introduction of exogenous apoptotic agents fundamentally altered this energy landscape, inducing formation of additional energy minima that correlated directly with changes in sensitivity to apoptosis induction. An equilibrium framework allows us to describe the behavior of an ensemble of single cells, suggesting that although cells are complex nonequilibrium systems, the application of formalisms derived from equilibrium thermodynamics can provide insight into the basis of nongenetic heterogeneities within cell populations, as well as the relationship between cytomorphological and functional heterogeneity.

Indexed as

Models, BiologicalThermodynamicsAnimalsCell ProliferationCells, CulturedEnergy MetabolismMiceSpatial Analysiscell shapeequilibriumorganelle

Identifiers

PMID31591210
PMCPMC6815155

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.