ArticlePloS one2010
STORM: a general model to determine the number and adaptive changes of epithelial stem cells in teleost, murine and human intestinal tracts.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 10 citations in OpenAlex.
- A van der Waals-like Transition Between Normal and Cancerous Phases in Cell Populations Dynamics of Colorectal Cancer.Scientific reports · 2016Article
- In-silico models of stem cell and developmental systems.Theoretical biology & medical modelling · 2014Review
- Research progress in the radioprotective effect of the canonical Wnt pathway.Cancer biology & medicine · 2013Article
- A model of stem cell population dynamics: in silico analysis and in vivo validation.Development (Cambridge, England) · 2012Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
Intestinal stem cells play a pivotal role in the epithelial tissue renewal, homeostasis and cancer development. The lack of a general marker for intestinal stem cells across species has hampered analysis of stem cell number in different species and their adaptive changes upon intestinal lesions or during development of cancer. Here a two-dimensional model, named STORM, has been developed to address this issue. By optimizing epithelium renewal dynamics, the model examines the epithelial stem cell number by taking experimental input information regarding epithelium proliferation and differentiation. As the results suggest, there are 2.0-4.1 epithelial stem cells on each pocket section of zebrafish intestine, 2.0-4.1 stem cells on each crypt section of murine small intestine and 1.8-3.5 stem cells on each crypt section of human duodenum. The model is able to provide quick results for stem cell number and its adaptive changes, which is not easy to measure through experiments. Its general applicability to different species makes it a valuable tool for analysis of intestinal stem cells under various pathological conditions.
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