Chaotic fluctuations in mitochondrial function under oxidative stress. SOD2 concentrations of 0.016
Analytical methods. Numerical integration of the ME-R model equations was performed with MatCont 2.4 in MATLAB 7.1, until steady-state solutions were obtained (i.e., when the magnitude of each time derivative was -10). Time series with duration of at least 6e6 ms were constructed by numerical integration of model equations. To allow transient states to vanish, the system was computed during a time lapse of 2 e8 ms.All studies were performed using the parameter setting optimized in our previous work (Kembro et al. 2013. Biophys J 104(2):332-343; Kembro et al., 2014. Front Physiol 5:257), with ADPm = 0.01mM, i.e. consistent with energized mitochondria under state 4 respiration. The two .txt file represents the time reference and the time series of variables output of the model, in order from left to right column: 1) Mitochondrial Ca+;2) Mitochondrial ADP; 3) Membrane potential; 4)Mitocondrial NADH; 5) Mitochondrial H+; 6) Mitochondrial Phosfate, Pi; 7) Isocitrate; 8) a-ketoglutarate; 9) Succinyl CoA; 10) Succinate; 11) Fumarate; 12) Malate; 13) Oxaloacetate; 14) NADPH; 15) Mitochondrial superoxide; 16) Extramitochondrial superoxide; 17) Mitochondrial hydrogen peroxide; 18) Extramitochondrial hydrogen peroxide; 19) Mitochondrial GSH; 20) Extramitochondrial GSH; 21)Mitochondrial GSSG; 22) Mitochondrial TrxSH2; 23) ExtramitochondrialTrxSH; 24)Mitochondrial PSSGm; 25) Extramitochondrial PSSG.
| Main Authors: | , , , , |
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| Format: | dataSet biblioteca |
| Language: | spa |
| Published: |
2018-09-26
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| Subjects: | Animal Physiology - Biophysics, Animal Physiology - Systems, Biophysics, Mitochondria, Mitochondria- bioenergetics model, Oxidative stress effect, Oxidative stress enzymes, |
| Online Access: | https://doi.org/10.6084/m9.figshare.7117907.v1 http://hdl.handle.net/11086/17030 |
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