ArticleDevelopment (Cambridge, England)2012
A model of stem cell population dynamics: in silico analysis and in vivo validation.
Article in Development (Cambridge, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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.
Who cites it
12 citing papers in PubMed.
- Modeling the C. elegans germline stem cell genetic network using automated reasoning.Bio Systems · 2022Article
- Agent-based modeling of morphogenetic systems: Advantages and challenges.PLoS computational biology · 2019Review
- Scalable population-level modelling of biological cells incorporating mechanics and kinetics in continuous time.Royal Society open science · 2018Article
- 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
- A Transport Model for Estimating the Time Course of ERK Activation in the C. elegans Germline.Biophysical journal · 2015Article
- Mechano-logical model of C. elegans germ line suggests feedback on the cell cycle.Development (Cambridge, England) · 2015Article
- Quantitative multivariate analysis of dynamic multicellular morphogenic trajectories.Integrative biology : quantitative biosciences from nano to macro · 2015Article
- Heterogeneous structure of stem cells dynamics: statistical models and quantitative predictions.Scientific reports · 2014Article
- In-silico models of stem cell and developmental systems.Theoretical biology & medical modelling · 2014Review
- How neurons migrate: a dynamic in-silico model of neuronal migration in the developing cortex.BMC systems biology · 2011Article
- Prediction of Growth Factor-Dependent Cleft Formation During Branching Morphogenesis Using A Dynamic Graph-Based Growth Model.IEEE/ACM transactions on computational biology and bioinformaticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The proper renewal and maintenance of tissues by stem cell populations is simultaneously influenced by anatomical constraints, cell proliferation dynamics and cell fate specification. However, their relative influence is difficult to examine in vivo. To address this difficulty we built, as a test case, a cell-centered state-based computational model of key behaviors that govern germline development in C. elegans, and used it to drive simulations of cell population dynamics under a variety of perturbations. Our analysis provided unexpected possible explanations for laboratory observations, including certain 'all-or-none' phenotypes and complex differentiation patterns. The simulations also offered insights into niche-association dynamics and the interplay between cell cycle and cell fate. Subsequent experiments validated several predictions generated by the simulations. Notably, we found that early cell cycle defects influence later maintenance of the progenitor cell population. This general modeling approach is potentially applicable to other stem cell systems.
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What OpenQuestion holds
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.