DocumentCode :
2386603
Title :
Achieving targeted granulocyte differentiation through the use of interpolation and optimization techniques
Author :
Noble, Sarah ; Sherer, Eric ; Ramkrishna, Doraiswami ; Rundell, Ann
Author_Institution :
Electr. & Comput. Eng. Dept., Purdue Univ., West Lafayette, IN
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
2571
Lastpage :
2572
Abstract :
Cellular differentiation is a complex process for which systematic design of control strategies has not been widely investigated. As a first step towards this aim, a control strategy for achieving a desired percentage of differentiating cells is proposed. A population balance model structure parallels the known granulocyte/monocyte differentiation pathway. Transition rate functions that characterize the movement of cells from one differentiation state to the next were identified from experimental data obtained via flow cytometry. An additional experiment demonstrates the efficacy of the proposed model and control strategy.
Keywords :
biology computing; cellular biophysics; interpolation; optimisation; cellular differentiation; flow cytometry; granulocyte/monocyte differentiation pathway; interpolation techniques; optimization techniques; population balance model structure; transition rate function; Biomedical computing; Biomedical engineering; Chemicals; Control system synthesis; Control systems; Design optimization; Humans; Interpolation; Predictive models; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586878
Filename :
4586878
Link To Document :
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