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A Systems Biology Approach to BloodStochasticity and Determinism in Models of Hematopoiesis

A Systems Biology Approach to Blood: Stochasticity and Determinism in Models of Hematopoiesis [This chapter represents a novel view of modeling in hematopoiesis, synthesizing both deterministic and stochastic approaches. Whereas the stochastic models work in situations where chance dominates, for example when the number of cells is small, or under random mutations, the deterministic models are more important for large-scale, normal hematopoiesis. New types of models are on the horizon. These models attempt to account for distributed environments such as hematopoietic niches and their impact on dynamics. Mixed effects of such structures and chance events are largely unknown and constitute both a challenge and promise for modeling. Our discussion is presented under the separate headings of deterministic and stochastic modeling; however, the connections between both are frequently mentioned. Four case studies are included to elucidate important examples. We also include a primer of deterministic and stochastic dynamics for the reader’s use.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Systems Biology Approach to BloodStochasticity and Determinism in Models of Hematopoiesis

Part of the Advances in Experimental Medicine and Biology Book Series (volume 844)
Editors: Corey, Seth Joel; Kimmel, Marek; Leonard, Joshua N.
Kimmel, Marek
A Systems Biology Approach to Blood — Dec 6, 2014
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References (90)

Publisher
Springer New York
Copyright
© Springer Science+Business Media New York 2014
ISBN
978-1-4939-2094-5
Pages
119 –152
DOI
10.1007/978-1-4939-2095-2_7
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter represents a novel view of modeling in hematopoiesis, synthesizing both deterministic and stochastic approaches. Whereas the stochastic models work in situations where chance dominates, for example when the number of cells is small, or under random mutations, the deterministic models are more important for large-scale, normal hematopoiesis. New types of models are on the horizon. These models attempt to account for distributed environments such as hematopoietic niches and their impact on dynamics. Mixed effects of such structures and chance events are largely unknown and constitute both a challenge and promise for modeling. Our discussion is presented under the separate headings of deterministic and stochastic modeling; however, the connections between both are frequently mentioned. Four case studies are included to elucidate important examples. We also include a primer of deterministic and stochastic dynamics for the reader’s use.]

Published: Dec 6, 2014

Keywords: Hematopoiesis; Leukemias; Stem cells; Dynamical systems; Stochastic processes; Molecular determinism; Driver and passenger mutations

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