Dataset Information

Koivumaki2009_SERCAATPase_long

ABSTRACT: This a model from the article: Modelling sarcoplasmic reticulum calcium ATPase and its regulation in cardiac myocytes. Koivumaki JT, Takalo J, Korhonen T, Tavi P, Weckstrom M. Philos Transact A Math Phys Eng Sci 2009 Jun 13;367(1896):2181-202 19414452 , Abstract: When developing large-scale mathematical models of physiology, some reduction in complexity is necessarily required to maintain computational efficiency. A prime example of such an intricate cell is the cardiac myocyte. For the predictive power of the cardiomyocyte models, it is vital to accurately describe the calcium transport mechanisms, since they essentially link the electrical activation to contractility. The removal of calcium from the cytoplasm takes place mainly by the Na(+)/Ca(2+) exchanger, and the sarcoplasmic reticulum Ca(2+) ATPase (SERCA). In the present study, we review the properties of SERCA, its frequency-dependent and beta-adrenergic regulation, and the approaches of mathematical modelling that have been used to investigate its function. Furthermore, we present novel theoretical considerations that might prove useful for the elucidation of the role of SERCA in cardiac function, achieving a reduction in model complexity, but at the same time retaining the central aspects of its function. Our results indicate that to faithfully predict the physiological properties of SERCA, we should take into account the calcium-buffering effect and reversible function of the pump. This 'uncomplicated' modelling approach could be useful to other similar transport mechanisms as well. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Koivumaki JT, Takalo J, Korhonen T, Tavi P, Weckstrom M. (2009) - version=1.0 The original CellML model was created by: Geoffrey Nunns gnunns1@jhu.edu The University of Auckland This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

SUBMITTER: Camille Laibe

PROVIDER: MODEL1006230105 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

Modelling sarcoplasmic reticulum calcium ATPase and its regulation in cardiac myocytes.

Koivumäki Jussi T JT Takalo Jouni J Korhonen Topi T Tavi Pasi P Weckström Matti M

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences 20090601 1896

When developing large-scale mathematical models of physiology, some reduction in complexity is necessarily required to maintain computational efficiency. A prime example of such an intricate cell is the cardiac myocyte. For the predictive power of the cardiomyocyte models, it is vital to accurately describe the calcium transport mechanisms, since they essentially link the electrical activation to contractility. The removal of calcium from the cytoplasm takes place mainly by the Na(+)/Ca(2+) exch ...[more]

PMID: 19414452

Similar Datasets

Project description:This a model from the article: Modelling sarcoplasmic reticulum calcium ATPase and its regulation in cardiac myocytes. Koivumaki JT, Takalo J, Korhonen T, Tavi P, Weckstrom M. Philos Transact A Math Phys Eng Sci 2009 Jun 13;367(1896):2181-202 19414452 , Abstract: When developing large-scale mathematical models of physiology, some reduction in complexity is necessarily required to maintain computational efficiency. A prime example of such an intricate cell is the cardiac myocyte. For the predictive power of the cardiomyocyte models, it is vital to accurately describe the calcium transport mechanisms, since they essentially link the electrical activation to contractility. The removal of calcium from the cytoplasm takes place mainly by the Na(+)/Ca(2+) exchanger, and the sarcoplasmic reticulum Ca(2+) ATPase (SERCA). In the present study, we review the properties of SERCA, its frequency-dependent and beta-adrenergic regulation, and the approaches of mathematical modelling that have been used to investigate its function. Furthermore, we present novel theoretical considerations that might prove useful for the elucidation of the role of SERCA in cardiac function, achieving a reduction in model complexity, but at the same time retaining the central aspects of its function. Our results indicate that to faithfully predict the physiological properties of SERCA, we should take into account the calcium-buffering effect and reversible function of the pump. This 'uncomplicated' modelling approach could be useful to other similar transport mechanisms as well. This model was taken from the CellML repository and automatically converted to SBML. The original model was: Koivumaki JT, Takalo J, Korhonen T, Tavi P, Weckstrom M. (2009) - version=1.0 The original CellML model was created by: Geoffrey Nunns gnunns1@jhu.edu The University of Auckland This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:Cardiac sarcoplasmic reticulum (SR) plays a central role in cellular Ca homeostasis, as does endoplasmic reticulum (ER) in the nonmuscle cell. The importance of SR Ca-handling function has led to detailed understanding of Ca-release and re-uptake protein complexes, but relatively little information regarding other known ER functions. We isolated cardiac membranes based upon their ability to efficiently accumulate Ca by the SR,ER-ATPase (SERCA-positive membranes), a process known to produce two characteristic SR membrane fractions: those enriched in known junctional SR markers, and those enriched in proteins originating from classic ER subdomains. Using standard proteomic techniques, we determined the SR proteins in three membrane preparations: 1) the highest-density SERCA-positive microsomes (HighSR); 2) the slightly less dense SERCA-positive microsomes that are constrained by a ryanodine-dependent leak (MedSR); and the original crude cardiac microsomes. Only a third of all crude microsomal proteins in heart were enriched in SERCA-positive membranes at least two fold. This protocol completely excluded known contractile, mitochondrial, sarcolemmal, and other major microsomal proteins, producing a far cleaner preparation of SR. Each SERCA-positive protein was distributed between HighSR and MedSR membrane vesicles in accordance with relative densities of SERCA2a versus ryanodine receptor. The distributions reinforced past findings on the distributions for several of the major known proteins. When combined with values for relative abundance, and enrichment over crude membranes, our protocol conveniently and effectively exposed multiple domains of the cardiac ER/SR. Most of the highly enriched and abundant cardiac SR/ER proteins represent proteins that have received little research attention. The data generate a useful quantitative analysis of intracellular membrane structure and function within cardiomyocytes, and may provide a reliable way of gauging broader changes in cardiac SR.