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dc.contributor.authorSalinas, Daniel
dc.contributor.authorMinor, Cody A.
dc.contributor.authorCarlson, Ross P.
dc.contributor.authorMcCutchen, Carley N.
dc.contributor.authorMumey, Brendan M.
dc.contributor.authorJune, Ronald K.
dc.identifier.citationSalinas, Daniel, Cody A Minor, Ross Carlson, Carley N McCutchen, Brendan M Mumey, and Ronald K June. "Combining Targeted Metabolomic Data with a Model of Glucose Metabolism: Toward Progress in Chondrocyte Mechanotransduction." PloS One 12, no. 1 (January 2016). DOI:
dc.description.abstractOsteoarthritis is a debilitating disease likely involving altered metabolism of the chondrocytes in articular cartilage. Chondrocytes can respond metabolically to mechanical loads via cellular mechanotransduction, and metabolic changes are significant because they produce the precursors to the tissue matrix necessary for cartilage health. However, a comprehensive understanding of how energy metabolism changes with loading remains elusive. To improve our understanding of chondrocyte mechanotransduction, we developed a computational model to calculate the rate of reactions (i.e. flux) across multiple components of central energy metabolism based on experimental data. We calculated average reaction flux profiles of central metabolism for SW1353 human chondrocytes subjected to dynamic compression for 30 minutes. The profiles were obtained solving a bounded variable linear least squares problem, representing the stoichiometry of human central energy metabolism. Compression synchronized chondrocyte energy metabolism. These data are consistent with dynamic compression inducing early time changes in central energy metabolism geared towards more active protein synthesis. Furthermore, this analysis demonstrates the utility of combining targeted metabolomic data with a computational model to enable rapid analysis of cellular energy utilization.en_US
dc.titleCombining Targeted Metabolomic Data with a Model of Glucose Metabolism: Toward Progress in Chondrocyte Mechanotransductionen_US
mus.citation.journaltitlePloS Oneen_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.categoryHealth & Medical Sciencesen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentChemical & Biological Engineering.en_US
mus.relation.departmentComputer Science.en_US
mus.relation.departmentMathematical Sciences.en_US
mus.relation.departmentMechanical & Industrial Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US

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