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A parameter estimation approach to form a preliminary model describing the transcriptomic and proteomic dynamics in rat liver from a dose of corticosteroid
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Pai, Jonathan. A parameter estimation approach to form a preliminary model describing the transcriptomic and proteomic dynamics in rat liver from a dose of corticosteroid. Retrieved from https://doi.org/doi:10.7282/T3X63Q1T

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TitleA parameter estimation approach to form a preliminary model describing the transcriptomic and proteomic dynamics in rat liver from a dose of corticosteroid
NamePai, Jonathan (author); Androulakis, Ioannis P. (chair); Zhang, Haoran (outside member); Vishnyakov, Aleksey (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2016
Other Date2016-01 (degree)
SubjectChemical and Biochemical Engineering, Glucocorticoids
Extent1 online resource (vi, 19 p. : ill.)
DescriptionSynthetic glucocorticoids are used widely in medicine for its effective anti-inflammatory and immunosuppressive effect. However, they have fairly negative adverse effects especially when used in the long term. Better understanding of the pharmacokinetics and pharmacodynamics (PK/PD) will provide better insights to their mechanism of action helping us to optimize its use as a clinical therapy. The onset of gene microarray presents quantitatively large data sets that can be very cumbersome to analyze. A parameter estimation approach using optimization methods can be used in order to help shape a PK/PD model for describing the transcriptomic and proteomic changes from CS. In this study, parameter estimation was used to form a preliminary model of the transcriptomic and proteomic gene interaction in rat liver from a dose of methylprednisolone (MPL), a commonly used synthetic glucocorticoid.
NoteM.S.
NoteIncludes bibliographical references
Noteby Jonathan Pai
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3X63Q1T
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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