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