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Analysis and integration of omics data: applications in drug pharmacogenomics and endogenous circadian behavior
Descriptive
TitleInfo
Title
Analysis and integration of omics data: applications in drug pharmacogenomics and endogenous circadian behavior
Name
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Acevedo
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Alison
NamePart
(type = date)
1991-
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Alison Acevedo
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author
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Androulakis
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Ioannis P
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Ioannis P Androulakis
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Advisory Committee
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chair
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Roth
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Charles M
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Charles M Roth
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Advisory Committee
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internal member
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Cai
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Li
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Li Cai
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Advisory Committee
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(authority = RULIB)
internal member
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(type = family)
Bhanot
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Gyan
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Gyan Bhanot
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Advisory Committee
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outside member
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Rutgers University
Role
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degree grantor
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School of Graduate Studies
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school
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theses
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2019
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2019-10
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2019
Language
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English
Abstract
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The integration of data across omics levels is necessary to accurately reflect physiology, whose behavior is not limited to one molecular component level. Further, integration of information across experimental platforms, time scales, dosing regiments, tissues, and organisms is necessary for the extraction of all possible meaning from the wealth of existing data stored across databases globally and for the development of research that is translatable between organisms. In the enclosed dissertation, we present a pathway-based meta-analysis approach integrated with multivariate decomposition techniques for processing temporal expression data. This framework is designed for application to expression data from any omics level, incorporates information from multiple databases, and is modular in that it can interrogate expression data with pathways extracted from multiple databases. This framework is applied to investigate the dosing- and tissue-dependent effects of the corticosteroid methylprednisolone, as well as the endogenous expression of model organisms critical to pre-clinical studies, rat and mouse. Such analyses both characterize systems not yet completely understood and exemplify the strength of a systems pharmacology understanding applied within translational research.
Subject
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Topic
Biomedical Engineering
Subject
(authority = local)
Topic
Circadian
Subject
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Topic
Medical informatics
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Rutgers University Electronic Theses and Dissertations
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ETD_10090
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1 online resource (xii, 170 pages) : illustrations
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Ph.D.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
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doi:10.7282/t3-edxt-vd06
Genre
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ETD doctoral
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
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Acevedo
GivenName
Alison
Role
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Permission or license
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2019-06-21 15:01:29
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Alison Acevedo
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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