Title:
Metabolic and Bioelectric Crosstalk in Directed Differentiation and Spatial Patterning of iPSC-Derived Cardiomyocytes

dc.contributor.advisor Kemp, Melissa L.
dc.contributor.author Norfleet, Dennis Andre
dc.contributor.committeeMember Platt, Manu
dc.contributor.committeeMember Voit, Eberhard
dc.contributor.committeeMember Forest, Craig
dc.contributor.committeeMember Park, Sung Jin
dc.contributor.committeeMember Kane, Ravi
dc.contributor.department Biomedical Engineering (Joint GT/Emory Department)
dc.date.accessioned 2023-05-18T17:52:12Z
dc.date.available 2023-05-18T17:52:12Z
dc.date.created 2023-05
dc.date.issued 2023-05-08
dc.date.submitted May 2023
dc.date.updated 2023-05-18T17:52:12Z
dc.description.abstract The goal of multi-cellular engineered living systems is the design and manufacturing of multicellular systems with novel form or function using engineering design principles. Induced pluripotent stem cells represent an excellent tool to enable actualization of these design goals because of their intrinsic pluripotent capacity and recapitulation of various embryogenesis and organogenesis processes. The objective of this research was to investigate through computational modeling how molecular components of bioelectric and metabolic systems alter multicellular bioelectric patterning and cell metabolic flux dynamics, and to extend system understanding to guide emergent morphogenic outcomes via external modulation of the culturing environment. The central hypothesis of this work was that specific media compositions can alter molecular components of bioelectric and metabolic multicellular systems in a predictable manner, leading to desired morphologies, cell phenotypes, and novel functionalities. In the first study, a multiscale bioelectric computational model describing human iPSC tissue-scale membrane voltage potentials (Vmem) was developed to understand unexplored patterning outcomes when various molecular components of the bioelectric system are altered by culture media. Model simulations accurately predicted multicellular Vmem patterns when one or more molecular components were altered, as quantitatively confirmed by a machine learning-based quantitative image pattern similarity analysis. In the second modeling analysis, a genome-scale computational model of the human metabolic network was expanded with additional descriptors to investigate how induced pluripotent stem cells reroute metabolic fluxes and achieved cell growth objectives during cardiomyocyte differentiation under various culture media compositions. This framework integrated transcriptomic, thermodynamic, kinetic, and proteomic and novel fluxome constraints including transport exchange between the cytosol and extracellular environment. From a comparative analysis across multiple published studies and our own experimental validations, we observed that the combination of novel and previous model constraints was required to replicate experimental media-induced changes in metabolic network dynamics during pluripotency and hiPSC-cardiomyocyte (hiPSC-CM) differentiation. We extended this study to a novel media supplementation condition of glutamine and ascorbic acid and found that experimental extracellular flux assays supported the model-predicted improvements to metabolic respiration of iPSC-derived cardiomyocyte progenitor cells. In summary, these results collectively validate the potential for model-guided media design of engineered living systems using understanding of bioelectric and metabolic systems properties.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri https://hdl.handle.net/1853/72018
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Computational biology
dc.subject metabolic network
dc.subject bioelectricity
dc.title Metabolic and Bioelectric Crosstalk in Directed Differentiation and Spatial Patterning of iPSC-Derived Cardiomyocytes
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Kemp, Melissa L.
local.contributor.corporatename College of Engineering
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
relation.isAdvisorOfPublication 829416a8-1bef-4485-ba85-c0d21b797771
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
thesis.degree.level Doctoral
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