ArticlePLoS computational biology2008
The evolution of robust development and homeostasis in artificial organisms.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 47 citations in OpenAlex.
- Embryos assist morphogenesis of others through calcium and ATP signaling mechanisms in collective teratogen resistance.Nature communications · 2024Article
- An agent-based model of tissue maintenance and self-repair.American journal of physiology. Cell physiology · 2023Article
- Gene regulatory networks exhibit several kinds of memory: quantification of memory in biological and random transcriptional networks.iScience · 2021Article
- Homeostasis Back and Forth: An Ecoevolutionary Perspective of Cancer.Cold Spring Harbor perspectives in medicine · 2017Review
- Exploiting ecological principles to better understand cancer progression and treatment.Interface focus · 2013Review
- Modeling planarian regeneration: a primer for reverse-engineering the worm.PLoS computational biology · 2012Review
- Evolving homeostatic tissue using genetic algorithms.Progress in biophysics and molecular biology · 2011Review
- Perspectives on tissue interactions in development and disease.Current molecular medicine · 2010Review
- Tipping the balance: robustness of tip cell selection, migration and fusion in angiogenesis.PLoS computational biology · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
Abstract
During embryogenesis, multicellular animals are shaped via cell proliferation, cell rearrangement, and apoptosis. At the end of development, tissue architecture is then maintained through balanced rates of cell proliferation and loss. Here, we take an in silico approach to look for generic systems features of morphogenesis in multicellular animals that arise as a consequence of the evolution of development. Using artificial evolution, we evolved cellular automata-based digital organisms that have distinct embryonic and homeostatic phases of development. Although these evolved organisms use a variety of strategies to maintain their form over time, organisms of different types were all found to rapidly recover from environmental damage in the form of wounds. This regenerative response was most robust in an organism with a stratified tissue-like architecture. An evolutionary analysis revealed that evolution itself contributed to the ability of this organism to maintain its form in the face of genetic and environmental perturbation, confirming the results of previous studies. In addition, the exceptional robustness of this organism to surface injury was found to result from an upward flux of cells, driven in part by cell divisions with a stable niche at the tissue base. Given the general nature of the model, our results lead us to suggest that many of the robust systems properties observed in real organisms, including scar-free wound-healing in well-protected embryos and the layered tissue architecture of regenerating epithelial tissues, may be by-products of the evolution of morphogenesis, rather than the direct result of selection.
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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.