Achieving targeted granulocyte differentiation through the use of interpolation and optimization techniques
- Resource Type
- Conference
- Authors
- Noble, Sarah; Sherer, Eric; Ramkrishna, Doraiswami; Rundell, Ann
- Source
- 2008 American Control Conference American Control Conference, 2008. :2571-2572 Jun, 2008
- Subject
- Robotics and Control Systems
Computing and Processing
Components, Circuits, Devices and Systems
Interpolation
Control systems
Control system synthesis
Biomedical engineering
Design optimization
Process control
Humans
Chemicals
Predictive models
Biomedical computing
- Language
- ISSN
- 0743-1619
2378-5861
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.