Title :
Signal Transduction Pathway Modeling Using Sequences of Chromatophore Images
Author :
Orhanovic, Iva ; Crinon, Regis J. ; Chaplen, Frank W R ; Weisshaar, Andreas
Author_Institution :
Oregon State University, Corvallis
Abstract :
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.
Keywords :
biosensors; cellular biophysics; medical image processing; nanobiotechnology; Database of Quantitative Cellular Signaling; biosensors; chromatophore images; digital image processing; signal transduction pathway; video processing; Biological system modeling; Biosensors; Differential equations; Digital images; Image databases; Microscopy; Pigmentation; Sequences; Spatial databases; Systems biology; Biosensors; chromatophores; digital image/video processing; signal transduction pathway; Biosensing Techniques; Cells, Cultured; Chromatophores; Computer Simulation; Image Interpretation, Computer-Assisted; Microscopy, Fluorescence; Microscopy, Video; Models, Biological; Signal Transduction; Subtraction Technique;
Journal_Title :
NanoBioscience, IEEE Transactions on
DOI :
10.1109/TNB.2007.903480
