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Quantitative Analysis of Progenitor Cell Biology

Project Overview

One of the challenges in developing an accurate understanding of the control progenitor cell behavior is that some behaviors may be sufficiently subtle that it is necessary to develop sophisticated quantitative approaches in order to understand what it is that cells actually are doing. We were very fortunate to have a brilliant mathematical colleague, the late Andrei Yakovlev, who was interested in combining our abilities to study division, differentiation and cell death at the clonal level with the tools of the biostatistics in order to develop new approaches to the analysis of cell function (e.g., (Boucher et al., 1999; Boucher et al., 2001; Hyrien et al., 2006; Hyrien et al., 2005a; Hyrien et al., 2005b; Yakovlev et al., 1998a; Yakovlev et al., 1998b; Zorin et al., 2000)). Such analyses enabled us to define symmetric and asymmetric components of O-2A progenitor cell division with great accuracy, and paved the way for many of our studies on how the probability of differentiation is regulated at the cellular level. These studies continue with our colleague, Dr. Ollivier Hyrien.

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Boucher, K., Yakovlev, A., Mayer-Proschel, M., and Noble, M. (1999). A stochastic model of temporally regulated generation of oligodendrocytes in cell culture. Math. Biosci. 159, 47-78. link

Boucher, K., Zorin, A., Yakovlev, A., Mayer-Proschel, M., and Noble, M. (2001). An alternative stochastic model of generation of oligodendrocytes in cell culture. J. Math. Biol. 43, 22-36. link

Hyrien, O., Ambeskovic, I.Mayer-Proschel, M., Noble, M., and Yakovlev, A. (2006). Stochastic modeling of oligodendrocyte generation in cell culture: model validation with time-lapse data. Theor. Biol. Med. Model. 3, 21. link

Hyrien, O., Mayer-Proschel, M., Noble, M., and Yakovlev, A. (2005a). Estimating the life-span of oligodendrocytes from clonal data on their development in cell culture. Math. Biosci. 193, 255-274. link

Hyrien, O., Mayer-Proschel, M., Noble, M., and Yakovlev, A. (2005b). A stochastic model to analyze clonal data on multi-type cell populations. Biometrics 61, 199-207. link

Yakovlev, A., Mayer-Proschel, M., and Noble, M. (1998a). A stochastic model of brain cell differentiation in tissue culture. J. Math. Biol. 37, 49-60. link

Yakovlev, A. Y., Boucher, K., Mayer-Pröschel, M., and Noble, M. (1998b). Quantitative insight into proliferation and differentiation of O-2A progenitor cells in vitro: The clock model revisited. Proc. Natl. Acad. Sci. U.S.A. 95, 14164-14167. link

Zorin, A., Mayer-Proschel, M., Noble, M., and Yakovlev, A. Y. (2000). Estimation problems associated with stochastic modeling of proliferation and differentiation of O-2A progenitor cells in vitro. Math Biosci. 167, 109-121. link

Contact

Mark D. Noble
University of Rochester
Box 633
601 Elmwood Ave.
Rochester, NY 14642
Office: MRB 2-9625
+1-585-273-1448 mark_noble@urmc.
rochester.edu