Signal transduction pathway modeling using sequences of chromatophore images.
Extensive research is being done in order to use chromatophore cells as biosensors for various substances. In this paper, a link between the biological aspect of chromatophores and digital image/video processing techniques used for chromatophore characterization is established for this purpose. A model of the Gs--AC--PKA--granule motion-image feature signal transduction pathway is proposed, starting from the concentration of the input ligand and ending in the pigment area extracted from a microscope image. The model extends an existing system biology differential equation based model of the Gs--AC--PKA transduction pathway obtained from the Database of Quantitative Cellular Signaling (DQCS). Examples are presented to demonstrate the effectiveness of the proposed system model.
Orhanovic
Iva
I
Deparment of Electrical and Computer Engineering, Oregon State University, Corvallis, OR 97331-5501, USA. iva123@verizon.net
Crinon
Regis J
RJ
Chaplen
Frank W R
FW
Weisshaar
Andreas
A
D015374:Biosensing Techniques / Q000379:methods*; D002478:Cells, Cultured; D002856:Chromatophores / Q000166:cytology* / Q000378:metabolism*; D003198:Computer Simulation; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000379:methods*; D018715:Microscopy, Video / Q000379:methods; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D013382:Subtraction Technique