Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0014063
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dc.titleStorm: A general model to determine the number and adaptive changes of epithelial stem cells in teleost, murine and human intestinal tracts
dc.contributor.authorWang, Z.
dc.contributor.authorMatsudaira, P.
dc.contributor.authorGong, Z.
dc.date.accessioned2014-12-02T06:53:22Z
dc.date.available2014-12-02T06:53:22Z
dc.date.issued2010
dc.identifier.citationWang, Z., Matsudaira, P., Gong, Z. (2010). Storm: A general model to determine the number and adaptive changes of epithelial stem cells in teleost, murine and human intestinal tracts. PLoS ONE 5 (11) : -. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0014063
dc.identifier.issn19326203
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114391
dc.description.abstractIntestinal 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. © 2010 Wang et al.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1371/journal.pone.0014063
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.contributor.departmentSINGAPORE-MIT ALLIANCE
dc.description.doi10.1371/journal.pone.0014063
dc.description.sourcetitlePLoS ONE
dc.description.volume5
dc.description.issue11
dc.description.page-
dc.identifier.isiut000284400100012
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