Phototransduction in vertebrates represents a paradigm of signalling pathways, in particular those mediated by G-protein-coupled receptors. The variety of protein–protein, protein–ion and protein–nucleotide interactions makes up an intricate network which is finely regulated by activating–deactivating molecules and chemical modifications. The holistic systems properties of the network allow for typical adaptation mechanisms, which ultimately result in fine adjustments of sensitivity and electrical response of the photoreceptor cells to the broad range of light stimuli. In the present article, we discuss a novel bottom-up strategy to study the phototransduction cascade in rod cells starting from the underlying biochemistry. The resulting network model can be simulated and the predicted dynamic behaviour directly compared with data from electrophysiological experiments performed on a wide range of illumination conditions. The advantage of applying procedures typical of systems theory to a well-studied signalling pathway is also discussed. Finally, the potential application to the study of the molecular basis of retinal diseases is highlighted through a practical example, namely the simulation of conditions related to Leber congenital amaurosis.
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October 2010
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Conference Article|
September 24 2010
Systems biochemistry approaches to vertebrate phototransduction: towards a molecular understanding of disease
Daniele Dell'Orco;
Daniele Dell'Orco
1
1Biochemistry Group, Institute of Biology and Environmental Sciences, University of Oldenburg, D-26111 Oldenburg, Germany
1To whom correspondence should be addressed (email daniele.dellorco@uni-oldenburg.de).
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Karl-Wilhelm Koch
Karl-Wilhelm Koch
1Biochemistry Group, Institute of Biology and Environmental Sciences, University of Oldenburg, D-26111 Oldenburg, Germany
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Biochem Soc Trans (2010) 38 (5): 1275–1280.
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Received:
March 03 2010
Citation
Daniele Dell'Orco, Karl-Wilhelm Koch; Systems biochemistry approaches to vertebrate phototransduction: towards a molecular understanding of disease. Biochem Soc Trans 1 October 2010; 38 (5): 1275–1280. doi: https://doi.org/10.1042/BST0381275
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