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dc.contributor.advisorSriram, Ganeshen_US
dc.contributor.authorVenkatesan, Shriramprasaden_US
dc.date.accessioned2019-02-05T06:38:33Z
dc.date.available2019-02-05T06:38:33Z
dc.date.issued2018en_US
dc.identifierhttps://doi.org/10.13016/4lro-x4av
dc.identifier.urihttp://hdl.handle.net/1903/21721
dc.description.abstractIsotope-assisted metabolic flux analysis (isotope MFA) combines experimental and computational techniques to analyze complex metabolic networks and thus to evaluate intracellular carbon flow and partitioning. However, the use of this methodology to increasingly complex networks can compromise flux identifiability and precision. In this thesis, we investigate two unique techniques that hold promise in overcoming this drawback. The first of these is multi-element isotope MFA. Traditionally, isotope MFA has traditionally utilized only 13C. Multi-element isotope MFA is a novel and untapped field of research, with less than a handful of studies which have utilized tracer elements other than 13C. This thesis explores the possibility of tracking different elements simultaneously fed either as a mixture or as multiple labels within the same molecule (multi-element tracer). Our analysis shows that multi-element tracking within a network allows for better information yield, which is necessary for resolution of fluxes more accurately for the network model. Also, our study shows that there are advantages to using several multi-element isotope labeling experiments in collaboration with parallel labeling experiments to provide better flux resolution at relatively less expensive costs. Instationary analysis is another topic of interest for this thesis. In this study, we create an instationary framework in our native flux analysis software adapting prior work done in the field. We also implement the method based on existing guidelines on a Pt diatom to attempt to explain an existing controversy regarding its carbon concentrating mechanism. Our brief work supports earlier work claiming that Pt operates a C4 mechanism.en_US
dc.language.isoenen_US
dc.titleMULTI-ELEMENT AND INSTATIONARY ISOTOPE-ASSISTED METABOLIC FLUX ANALYSIS FOR IMPROVED EVALUATION OF CELLULAR CARBON FLOWen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentChemical Engineeringen_US
dc.subject.pqcontrolledChemical engineeringen_US
dc.subject.pquncontrolledinstationary MFAen_US
dc.subject.pquncontrolledisotope-assisted metabolic flux analysisen_US
dc.subject.pquncontrolledMetabolic engineeringen_US
dc.subject.pquncontrolledmulti-element MFAen_US


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