JSM 2004 - Toronto

Abstract #300241

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Activity Number: 417
Type: Invited
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #300241
Title: Stochastic Modeling of Hematopoiesis
Author(s): Sandra N. Catlin*+
Companies: University of Nevada, Las Vegas
Address: Dept. of Mathematical Sciences, Las Vegas, NV, 89154,
Keywords: birth-death process ; compartmental model ; hidden Markov model ; stem cell
Abstract:

This talk describes the application of stochastic modeling to understanding stem cell behavior. Stem cells reside in the bone marrow and are the cells from which all the constituents of blood derive. Hematopoiesis is the multistage process in which stem cells, through sequential division, differentiation, and maturation, give rise to all types of circulating blood cells. Because stem cells are difficult to identify, their behavior (e.g. rates of self-replication and differentiation) must be inferred from observations of partially differentiated progenitor cells. A two-compartment hidden Markov model has been proposed to describe samples of cells representative of this stage of development taken over time from female Safari cats. We review several methods of parameter estimation in the model, and the inherent difficulties involved. We show how the model can be used to gain insight into stem cell related diseases, such as chronic myelogenous leukemia, and possible therapeutic strategies.

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