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https://doi.org/10.1038/srep21923
Title: | Quantifying Lgr5-positive stem cell behaviour in the pyloric epithelium | Authors: | Leushacke, M Barker, N Pin, C |
Keywords: | G protein coupled receptor Lgr5 protein, mouse animal biological model cell differentiation cell proliferation epithelium metabolism mouse physiology pylorus stem cell Animals Cell Differentiation Cell Proliferation Epithelium Mice Models, Biological Pylorus Receptors, G-Protein-Coupled Stem Cells |
Issue Date: | 2016 | Citation: | Leushacke, M, Barker, N, Pin, C (2016). Quantifying Lgr5-positive stem cell behaviour in the pyloric epithelium. Scientific Reports 6 : 21923. ScholarBank@NUS Repository. https://doi.org/10.1038/srep21923 | Rights: | Attribution 4.0 International | Abstract: | Using in-vivo lineage tracing data we quantified clonal expansion as well as proliferation and differentiation of the Lgr5-positive stem cell population in pyloric gastric glands. Fitting clone expansion models, we estimated that there are five effective Lgr5-positive cells able to give rise to monoclonal glands by replacing each other following a pattern of neutral drift dynamics. This analysis is instrumental to assess stem cell performance; however, stem cell proliferation is not quantified by clone expansion analysis. We identified a suitable mathematical model to quantify proliferation and differentiation of the Lgr5-positive population. As expected for populations in steady-state, the proliferation rate of the Lgr5-positive population was equal to its rate of differentiation. This rate was significantly faster than the rate at which effective cells are replaced, estimated by modelling clone expansion/contraction. This suggests that the majority of Lgr5-positive cell divisions serve to renew epithelial cells and only few result in the effective replacement of a neighbour to effect expansion to the entire gland. The application of the model under altered situations with uncoupled differentiation and proliferation was demonstrated. This methodology represents a valuable tool for quantifying stem cell performance in homeostasis and importantly for deciphering altered stem cell behaviour in disease. | Source Title: | Scientific Reports | URI: | https://scholarbank.nus.edu.sg/handle/10635/178940 | ISSN: | 20452322 | DOI: | 10.1038/srep21923 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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