A biological and computational model of megakaryocyte development as a stochastic branching process.
The purpose of this paper is to describe a model of megakaryocytopoiesis as a branching process with stochastic processes regulating critical control points of differentiation along the stem cell megakaryocyte platelet axis. Progress of cells through these critical control points are regulated by transitional probabilities, which in turn are regulated by influences such as growth factors. The critical control points include transition of resting megakaryocytic stem cells (CFU-meg) into proliferating stem cells, the cessation of cytokinesis, and the cessation of DNA synthesis. A computerized computational method has been developed for directly fitting the stochastic branching model to colony growth data. The computational model has allowed transitional probabilities to be derived from colony size data. The model provides a unifying explanation for much of the heterogeneity of stages of maturation within populations of megakaryocytes and is fully compatible with historical data supporting the stochastic nature of hematopoietic stem cell regulation and with modern molecular concepts about control of the cell cycle.
Division of Hematology and Internal Medicine, Mayo Clinic, Rochester, MN 55905.
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Solberg
D002454:Cell Differentiation; D002478:Cells, Cultured; D003114:Colony-Forming Units Assay; D005455:Fluorescent Antibody Technique; D006801:Humans; D007399:Interphase; D008533:Megakaryocytes / Q000166:cytology*; D008954:Models, Biological; D015233:Models, Statistical; D013269:Stochastic Processes