Heterogeneous structure of stem cells dynamics: statistical models and quantitative predictions.

ABSTRACT: Understanding stem cell (SC) population dynamics is essential for developing models that can be used in basic science and medicine, to aid in predicting cells fate. These models can be used as tools e.g. in studying patho-physiological events at the cellular and tissue level, predicting (mal)functions along the developmental course, and personalized regenerative medicine. Using time-lapsed imaging and statistical tools, we show that the dynamics of SC populations involve a heterogeneous structure consisting of multiple sub-population behaviors. Using non-Gaussian statistical approaches, we identify the co-existence of fast and slow dividing subpopulations, and quiescent cells, in stem cells from three species. The mathematical analysis also shows that, instead of developing independently,

SUBMITTER: Bogdan P 

PROVIDER: S-EPMC4001100 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature