Paper Info
Title
A simulation methodology in modeling cell divisions with stochastic effects
Abstract
We present a model to explain the effects of the long time between blood stem cell divisions and rapid cascades of progenitor cell divisions on the mitochondrial DNA drift. We allow four stochastic events in the system namely, mtDNA replication and degradation, cell division and death. To implement the conceptual model, we design two simulation models; one for a limited number of stem cells (20,000) over very long time scale (100 years) and another for the cell divisions of a progenitor cell resulting in a large number of blood cells (~10 million) over a shorter time span (25 days). Iterative enhancement with incremental builds constitutes the modeling methodology. We adopt the activity scanning conceptual framework for the model implementation. Initial transient and memory issues are resolved. By output data analysis, we conclude that the variation in mutation level occurs significantly due to time and less so due to cell divisions.
Year
DOI
Venue
2004
10.1109/WSC.2004.1371566
Winter Simulation Conference
Keywords
Field
DocType
long time scale,stem cell,conceptual model,cell division,shorter time span,long time,blood cell,stochastic effect,progenitor cell,simulation methodology,progenitor cell division,blood stem cell division,stochastic processes,conceptual framework,simulation model,mitochondrial dna,dna,data analysis
Cell division,Biological system,Conceptual model,Stem cell,Computer science,Simulation,Stochastic process,Cell,Mitochondrial DNA,Model implementation,Bioinformatics,Progenitor cell
Conference
ISBN
Citations 
PageRank 
0-7803-8786-4
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Harsha K. Rajasimha100.34
David C. Samuels2186.68
Richard E. Nance3597114.92