ArticleDevelopment (Cambridge, England)2015
Mechano-logical model of C. elegans germ line suggests feedback on the cell cycle.
Article in Development (Cambridge, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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
19 citing papers in PubMed.
- The mid-pachytene transition between early and late double-strand breaks in C. elegans meiosis is conserved throughout early adulthood and coincides with a peak in recombination intermediates.G3 (Bethesda, Md.) · 2026Article
- A role for organ level dynamics in morphogenesis of the C. elegans hermaphrodite distal tip cell.Development (Cambridge, England) · 2024Article
- Notch signaling without the APH-2/nicastrin subunit of gamma secretase in Caenorhabditis elegans germline stem cells.Genetics · 2024Article
- Article
- Multiscale modelling of desquamation in the interfollicular epidermis.PLoS computational biology · 2022Article
- Modeling the C. elegans germline stem cell genetic network using automated reasoning.Bio Systems · 2022Article
- 3,3'-Diindolylmethane Supplementation Maintains Oocyte Quality by Reducing Oxidative Stress and CEP-1/p53-Mediated Regulation of Germ Cells in a Reproductively AgedAntioxidants (Basel, Switzerland) · 2022Article
- Seven challenges in the multiscale modeling of multicellular tissues.WIREs mechanisms of disease · 2022Review
- Impact of Force Function Formulations on the Numerical Simulation of Centre-Based Models.Bulletin of mathematical biology · 2020Article
- Biology of theGenetics · 2019Review
- Stochastic Simulation of Pattern Formation in Growing Tissue: A Multilevel Approach.Bulletin of mathematical biology · 2019Article
- Agent-based modeling of morphogenetic systems: Advantages and challenges.PLoS computational biology · 2019Review
- Oscillatory fluid flow drives scaling of contraction wave with system size.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Scalable population-level modelling of biological cells incorporating mechanics and kinetics in continuous time.Royal Society open science · 2018Article
- Mechanocellular models of epithelial morphogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Comparing individual-based approaches to modelling the self-organization of multicellular tissues.PLoS computational biology · 2017Article
- How computational models contribute to our understanding of the germ line.Molecular reproduction and development · 2016Review
- An Observation-Driven Agent-Based Modeling and Analysis Framework for C. elegans Embryogenesis.PloS one · 2016Article
- Cell cycle features of C. elegans germline stem/progenitor cells vary temporally and spatially.Developmental biology · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The Caenorhabditis elegans germ line is an outstanding model system in which to study the control of cell division and differentiation. Although many of the molecules that regulate germ cell proliferation and fate decisions have been identified, how these signals interact with cellular dynamics and physical forces within the gonad remains poorly understood. We therefore developed a dynamic, 3D in silico model of the C. elegans germ line, incorporating both the mechanical interactions between cells and the decision-making processes within cells. Our model successfully reproduces key features of the germ line during development and adulthood, including a reasonable ovulation rate, correct sperm count, and appropriate organization of the germ line into stably maintained zones. The model highlights a previously overlooked way in which germ cell pressure may influence gonadogenesis, and also predicts that adult germ cells might be subject to mechanical feedback on the cell cycle akin to contact inhibition. We provide experimental data consistent with the latter hypothesis. Finally, we present cell trajectories and ancestry recorded over the course of a simulation. The novel approaches and software described here link mechanics and cellular decision-making, and are applicable to modeling other developmental and stem cell systems.
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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.