storm a general model to determine the number and adaptive changes of epithelial stem cells in teleost, murine and human intestinal tracts风暴一般模型来确定的数量和自适应改变上皮干细胞在硬骨鱼,小鼠和人类的肠道.pdf
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STORM: A General Model to Determine the Number and
Adaptive Changes of Epithelial Stem Cells in Teleost,
Murine and Human Intestinal Tracts
Zhengyuan Wang1,2,3*, Paul Matsudaira1,2,3, Zhiyuan Gong1,2
1 Computation and Systems Biology, Singapore-MIT Alliance, Singapore, Singapore, 2 Department of Biological Sciences, National University of Singapore, Singapore,
Singapore, 3 Center for BioImaging Sciences, National University of Singapore, Singapore, Singapore
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.
Citation: Wang 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): e14063. doi:10.1371/journal.pone.0014063
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Editor: Stefan Wolfl,
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