Metabolic Characterization of Cellular Health Using a Multimodal Spectroscopy Technique
dc.contributor.author | Rosiek, Eric | |
dc.contributor.advisor | Chakraborty, Nilay | |
dc.date.accessioned | 2019-05-03T19:47:08Z | |
dc.date.available | NO_RESTRICTION | en_US |
dc.date.available | 2019-05-03T19:47:08Z | |
dc.date.issued | 2019-04-28 | |
dc.date.submitted | 2019-04-14 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/148875 | |
dc.description.abstract | The mitochondria act as a bridge between cell metabolism and overall cell health due to the dual roles it plays in both apoptosis and as the site of mitochondrial respiration. Using a combined analytical approach of extracellular flux analysis and Raman spectroscopy, studies and predictive estimations of cell health can be made through metabolism. Here, the protective effect of a D2/D3 agonist D512 is shown on the metabolism of oxidopamine treated neuronal origin cells (PC-12). D2/D3 dopamine receptor agnostic agents have been shown to alleviate symptoms of neurodegenerative diseases including Parkinson’s disease in mouse models. It was observed that pre-incubation and co-incubation with D512 rescued metabolic parameters back to control levels. In addition, the effect of the bacterial quorum-sensing molecule 2-aminoacetophenone (2-AA) on RAW macrophage cells was studied. It was determined that at low concentrations (<200uM), 2-AA acted to increase mitochondrial metabolism, while at higher concentrations (>200uM), the metabolic rates decreased. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Metabolic characterization | en_US |
dc.subject | Extracellular flux analysis | en_US |
dc.subject | ATP production | en_US |
dc.subject | Raman spectroscopy | en_US |
dc.subject.other | Biomedical Engineering | en_US |
dc.title | Metabolic Characterization of Cellular Health Using a Multimodal Spectroscopy Technique | en_US |
dc.type | Thesis | en_US |
dc.description.thesisdegreename | Master of Science in Engineering (MSE) | en_US |
dc.description.thesisdegreediscipline | Bioengineering, College of Engineering & Computer Science | en_US |
dc.description.thesisdegreegrantor | University of Michigan-Dearborn | en_US |
dc.contributor.committeemember | Esquivel, Amanda | |
dc.contributor.committeemember | Kanapathipillai, Mathumai | |
dc.identifier.uniqname | 4183 8318 | en_US |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/148875/1/thesis-eric rosiek.pdf | |
dc.identifier.orcid | 0000-0001-6355-1457 | en_US |
dc.description.filedescription | Description of thesis-eric rosiek.pdf : Thesis | |
dc.identifier.name-orcid | Rosiek, Eric; 0000-0001-6355-1457 | en_US |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
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