Chaotic fluctuations in mitochondrial function under oxidative stress. Superoxide dismutatase (SOD2) concentrations of 0.013, 0.016,0.0164, 0.0216733 mM

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dc.conicet.datoinvestigacionid255
dc.conicet.justificacionSon datos generado por modelado matematico
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e7_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2_0_013_TIME.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e7_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2_0_013_VARIABLE.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e6_Period30s_Shunt0_04SOD1_9_7e-5_SOD2__0_016_TIME.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e6_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2_0_016_VARIABLES.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e7_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2_0_0164_TIME.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e7_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2_0_0164_VARIABLE.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e6_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2__0_0216733_TIME.txt
dc.conicet.linkAdjuntosigeva_files/POSTULANTE/27188891190/DATO/250/Amp1e6_Period30s_Shunt0_04_SOD1_9_7e-5_SOD2__0_0216733_VARIABLES.txt
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionEstados Unidos
dc.conicet.paisOrganizacionEstados Unidos
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionReino Unido
dc.conicet.paisOrganizacionEstados Unidos
dc.conicet.tituloRelacionIntegrating mitochondrial energetics, redox and ROS metabolic networks: A two-compartment model.
dc.conicet.tituloRelacionComplex oscillatory redox dynamics with signaling potential at the edge between normal and pathological mitochondrial function
dc.conicet.tituloRelacionMitochondrial chaotic dynamics: Redox-energetic behavior at the edge of stability
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.6084/m9.figshare.7117808
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.6084/m9.figshare.7117907
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.6084/m9.figshare.7117910
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.6084/m9.figshare.7117913
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/hdl/http://hdl.handle.net/11086/17029
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/hdl/http://hdl.handle.net/11086/17030
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/hdl/http://hdl.handle.net/11086/16807
dc.datacite.AlternateIdentifierTypeinfo:eu-repo/semantics/altIdentifier/hdl/http://hdl.handle.net/11086/16912
dc.datacite.CreatorKembro, Jackelyn Melissa
dc.datacite.CreatorAon, Miguel Antonio
dc.datacite.CreatorCortassa, Sonia del Carmen
dc.datacite.CreatorLloyd, David
dc.datacite.CreatorSollott, Steven
dc.datacite.DateTypeCreado
dc.datacite.DescriptionTypeInformación de Series
dc.datacite.DescriptionTypeInformación Técnica
dc.datacite.PublicationYear2022*
dc.datacite.affiliationConsejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas
dc.datacite.affiliationUniversity Johns Hopkins
dc.datacite.affiliationUniversity Johns Hopkins
dc.datacite.affiliationConsejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.affiliationCardiff University
dc.datacite.affiliationNational Institute on Aging
dc.datacite.date01/01/2017-31/12/2017
dc.datacite.descriptionNumerical 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.
dc.datacite.descriptionModel-simulated time series were calculated with 0.013, 0.016, 0.0164, or 0.0216733 mM of SOD2, Shunt=0.04, SOD1 9.7 10-5 mM. External superoxide perturbation: amplitude=1 10-7 mM, period =30 s.
dc.datacite.languageenges
dc.datacite.publisherConsejo Nacional de Investigaciones Científicas y Técnicas*
dc.datacite.relacionRelatedIdentifierTypeHDL - Handle
dc.datacite.relacionRelatedIdentifierTypeHDL - Handle
dc.datacite.relacionRelatedIdentifierTypeHDL - Handle
dc.datacite.resourceTypeGeneraldataset*
dc.datacite.subjectBiologíaes
dc.datacite.subjectCiencias Biológicases
dc.datacite.subjectCIENCIAS NATURALES Y EXACTASes
dc.datacite.version1.0es
dc.date.accessioned2022-04-18T17:07:23Z
dc.date.available2022-04-18T17:07:23Z
dc.date.updated2022-04-01T19:29:50Z
dc.description.abstractThese chaotic time series of mitochondrial dynamics under conditions of oxidative stress are analyzed in detail in Kembro et al. 2018. Mitochondrial chaotic dynamics: Redox-energetic behavior at the edge of stability. Mitochondrial model used was described in the project overview and in detail (Kembro et al. 2013. Biophys J 104(2):332-343; Kembro et al., 2014. Front Physiol 5:257).es
dc.description.filFil: Kembro, Jackelyn Melissa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
dc.description.filFil: Aon, Miguel Antonio. University Johns Hopkins; Estados Unidos
dc.description.filFil: Cortassa, Sonia del Carmen. University Johns Hopkins; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.filFil: Lloyd, David. Cardiff University; Reino Unido
dc.description.filFil: Sollott, Steven. National Institute on Aging; Estados Unidos
dc.identifier.citationKembro, Jackelyn Melissa; Aon, Miguel Antonio; Cortassa, Sonia del Carmen; Lloyd, David; Sollott, Steven; (2022): Chaotic fluctuations in mitochondrial function under oxidative stress. Superoxide dismutatase (SOD2) concentrations of 0.013, 0.016,0.0164, 0.0216733 mM. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/155280*
dc.identifier.institucionalCONICET
dc.identifier.repoCONICET Digital
dc.identifier.urihttp://hdl.handle.net/11336/155280
dc.relationtype.isSourceOf11336/24945
dc.relationtype.isSourceOf11336/32229
dc.relationtype.isSourceOf11336/87055
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/*
dc.subject.keywordCHAOSes
dc.subject.keywordSERIE TIEMPOes
dc.subject.keywordMITOCONDRIAes
dc.subject.keywordESTRES OXIDATIVOes
dc.titleChaotic fluctuations in mitochondrial function under oxidative stress. Superoxide dismutatase (SOD2) concentrations of 0.013, 0.016,0.0164, 0.0216733 mMes
dc.typedataset*

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CONICET_Digital_Nro.4bf0d45f-420e-475a-b3a5-451d0bdb2df6_A.txt
Series (variables) associated with SOD2 concentration 0.0216733mM
115.35 MB
 
CONICET_Digital_Nro.4bf0d45f-420e-475a-b3a5-451d0bdb2df6_D.txt
Series (variables) associated with SOD2 concentration 0.0164mM
35.77 MB
 
CONICET_Digital_Nro.4bf0d45f-420e-475a-b3a5-451d0bdb2df6_G.txt
Time associated with SOD2 concentration 0.016mM series
5.26 MB
 
CONICET_Digital_Nro.4bf0d45f-420e-475a-b3a5-451d0bdb2df6_J.txt
Time associated with SOD2 concentration 0.0164mM series
1.43 MB
 
CONICET_Digital_Nro.4bf0d45f-420e-475a-b3a5-451d0bdb2df6_M.txt
Time associated with SOD2 concentration 0.0216733 mM series
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