Evidence map›Paper›PMID 27349214›Full record

ArticleNature communications2016

Memory of cell shape biases stochastic fate decision-making despite mitotic rounding.

Takashi Akanuma, Cong Chen, Tetsuo Sato, Roeland M H Merks, Thomas N Sato

Abstract readValidation Study
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Interpretable Fine-Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. The Mechanics of Mitotic Cell Rounding.Frontiers in cell and developmental biology · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Modeling the Notch Response.Advances in experimental medicine and biology · 2018
    Review
  12. Article
  13. The temporal basis of angiogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  14. Review
  15. Article
  16. Shaping the cell fate.Cell cycle (Georgetown, Tex.) · 2017
    Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Takashi AkanumaThe Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.
Cong ChenCentrum Wiskunde &Informatica, Life Sciences Group, Science Park 123, 1098 XG, Amsterdam, The Netherlands.
Tetsuo SatoThe Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.
Roeland M H MerksCentrum Wiskunde &Informatica, Life Sciences Group, Science Park 123, 1098 XG, Amsterdam, The Netherlands.
Thomas N SatoThe Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Hikaridai 2-2-2, Kyoto 619-0288, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell shape influences function, and the current model suggests that such shape effect is transient. However, cells dynamically change their shapes, thus, the critical question is whether shape information remains influential on future cell function even after the original shape is lost. We address this question by integrating experimental and computational approaches. Quantitative live imaging of asymmetric cell-fate decision-making and their live shape manipulation demonstrates that cellular eccentricity of progenitor cell indeed biases stochastic fate decisions of daughter cells despite mitotic rounding. Modelling and simulation indicates that polarized localization of Delta protein instructs by the progenitor eccentricity is an origin of the bias. Simulation with varying parameters predicts that diffusion rate and abundance of Delta molecules quantitatively influence the bias. These predictions are experimentally validated by physical and genetic methods, showing that cells exploit a mechanism reported herein to influence their future fates based on their past shape despite dynamic shape changes.

Indexed as

Cell ShapeModels, BiologicalComputer SimulationIntracellular Signaling Peptides and ProteinsMembrane ProteinsMitosisdelta proteinIntracellular Signaling Peptides and ProteinsMembrane Proteins

Identifiers

PMID27349214
PMCPMC4931277

What OpenQuestion holds

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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.