Reference : Design principles study of ROS management and ROS-induced mitophagy with a kinetic model
Scientific congresses, symposiums and conference proceedings : Poster
Life sciences : Biochemistry, biophysics & molecular biology
Physical, chemical, mathematical & earth Sciences : Mathematics
Computational Sciences
http://hdl.handle.net/10993/6934
Design principles study of ROS management and ROS-induced mitophagy with a kinetic model
English
Kolodkin, Alexey mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Ignatenko, Andrew mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Sangar, Vineet [Institute for Systems Biology - ISB]
Simeonidis, Vangelis mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Peters, Bernhard mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Brady, Nathan [German Cancer Research Center]
Price, Nathan [Institute for Systems Biology - ISB]
Balling, Rudi mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
27-Sep-2013
No
International
2013 BMES Annual Meeting
September 25-28, 2013
Seattle
USA
[en] ROS management ; kinetic model
[en] In vivo evidence demonstrates three fundamental interconnected adaptive survival mechanisms , which protect against excessive ROS that is generated during mitochondrial dysfunction: (i) autophagy/mitophagy, (ii) adaptive antioxidant response and (iii) NFkB signaling in cancer and neurodegeneration.
We have been expanding a kinetic model which recapitulates the consensus understanding of the mechanisms responsible for cellular ROS – management system and performed modular analysis to analyze emergent behavior. We started with the simplest model and added stepwise new modules. We identify the qualitative role (certain emergent behavior) attributed to each module and thus understand the design principles of the system.
We propose a detailed, mechanistic, kinetic model for studying how mutations relevant for diseases such as PD and cancer affect the emergent behavior of ROS management network.
Professionals
http://hdl.handle.net/10993/6934

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