ReviewInterface focus2014
Modelling chromosome dynamics in mitosis: a historical perspective on models of metaphase and anaphase in eukaryotic cells.
Review in Interface focus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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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.
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Who cites it
13 citing papers in PubMed, 31 citations in OpenAlex.
- Bayesian data driven modelling of kinetochore dynamics: Space-time organisation of the human metaphase plate.PLoS computational biology · 2026Article
- Stability and robustness of kinetochore dynamics under sudden perturbations and stochastic influences.Scientific reports · 2025Article
- Computer simulation of merotelic kinetochore-microtubule attachments: corona size is more important than other cell parameters.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2021Article
- Attenuated Chromosome Oscillation as a Cause of Chromosomal Instability in Cancer Cells.Cancers · 2021Review
- Mechanisms of chromosome biorientation and bipolar spindle assembly analyzed by computational modeling.eLife · 2020Article
- Theory of Cytoskeletal Reorganization during Cross-Linker-Mediated Mitotic Spindle Assembly.Biophysical journal · 2019Article
- Leader of the SAC: molecular mechanisms of Mps1/TTK regulation in mitosis.Open biology · 2018Review
- Physical determinants of bipolar mitotic spindle assembly and stability in fission yeast.Science advances · 2017Article
- Anaphase B.Biology · 2016Review
- Inferring the Forces Controlling Metaphase Kinetochore Oscillations by Reverse Engineering System Dynamics.PLoS computational biology · 2015Article
- Fission yeast kinesin-8 controls chromosome congression independently of oscillations.Journal of cell science · 2015Article
- Mechanism for Anaphase B: Evaluation of "Slide-and-Cluster" versus "Slide-and-Flux-or-Elongate" Models.Biophysical journal · 2015Article
- The microtubule cross-linker Feo controls the midzone stability, motor composition, and elongation of the anaphase B spindle in Drosophila embryos.Molecular biology of the cell · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mitosis is the process by which the genome is segregated to form two identical daughter cells during cell division. The process of cell division is essential to the maintenance of every form of life. However, a detailed quantitative understanding of mitosis has been difficult owing to the complexity of the process. Indeed, it has been long recognized that, because of the complexity of the molecules involved, their dynamics and their properties, the mitotic events that mediate the segregation of the genome into daughter nuclei cannot be fully understood without the contribution of mathematical/quantitative modelling. Here, we provide an overview of mitosis and describe the dynamic and mechanical properties of the mitotic apparatus. We then discuss several quantitative models that emerged in the past decades and made an impact on our understanding of specific aspects of mitosis, including the motility of the chromosomes within the mitotic spindle during metaphase and anaphase, the maintenance of spindle length during metaphase and the switch to spindle elongation that occurs during anaphase.
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Registered trials
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.