Matching Items (83)
Description
Parkinson’s disease (PD) is a progressive neurodegenerative disorder, diagnosed late in
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
the disease by a series of motor deficits that manifest over years or decades. It is characterized by degeneration of mid-brain dopaminergic neurons with a high prevalence of dementia associated with the spread of pathology to cortical regions. Patients exhibiting symptoms have already undergone significant neuronal loss without chance for recovery. Analysis of disease specific changes in gene expression directly from human patients can uncover invaluable clues about a still unknown etiology, the potential of which grows exponentially as additional gene regulatory measures are questioned. Epigenetic mechanisms are emerging as important components of neurodegeneration, including PD; the extent to which methylation changes correlate with disease progression has not yet been reported. This collection of work aims to define multiple layers of PD that will work toward developing biomarkers that not only could improve diagnostic accuracy, but also push the boundaries of the disease detection timeline. I examined changes in gene expression, alternative splicing of those gene products, and the regulatory mechanism of DNA methylation in the Parkinson’s disease system, as well as the pathologically related Alzheimer’s disease (AD). I first used RNA sequencing (RNAseq) to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex of patients with PD and PD with dementia (PDD). Next, I performed a longitudinal genome-wide methylation study surveying ~850K CpG methylation sites in whole blood from 189 PD patients and 191 control individuals obtained at both a baseline and at a follow-up visit after 2 years. I also considered how symptom management medications could affect the regulatory mechanism of DNA methylation. In the last chapter of this work, I intersected RNAseq and DNA methylation array datasets from whole blood patient samples for integrated differential analyses of both PD and AD. Changes in gene expression and DNA methylation reveal clear patterns of pathway dysregulation that can be seen across brain and blood, from one study to the next. I present a thorough survey of molecular changes occurring within the idiopathic Parkinson’s disease patient and propose candidate targets for potential molecular biomarkers.
ContributorsHenderson, Adrienne Rose (Author) / Huentelman, Matthew J (Thesis advisor) / Newbern, Jason (Thesis advisor) / Dunckley, Travis L (Committee member) / Jensen, Kendall (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2019
Description
Quiescin sulfhydryl oxidase 1 (QSOX1) is an enzyme that catalyzes disulfide bond formation by oxidizing two free sulfhydryl groups. QSOX1 consists of a thioredoxin (Trx) and an ERV (essential for respiration and viability)/ALR (augmenter of liver regeneration) domain which each contain CxxC motifs that work to bind to substrates and shuttle electrons to a flavin adenine dinucleotide (FAD) cofactor that accepts the electrons and reduces molecular oxygen to hydrogen peroxide. Investigation of the role of QSOX1 in cancer progression started when it was found at higher abundance in pancreatic ductal adenocarcinoma (PDA) patient plasma compared to healthy normal donor plasma. Increased expression in QSOX1 has been further identified in breast, lung, kidney, prostate, and other cancers. QSOX1 expression is associated with cell proliferation and invasion in vitro and tumor growth in vivo. Additionally, the enzymatic activity of QSOX1 in the extracellular matrix (ECM) is important for cell invasion in vitro. Small molecule inhibitors of QSOX1 have been shown to have antitumorigenic properties in vitro and in vivo. It was hypothesized that monoclonal antibodies (mAbs) against QSOX1 would inhibit cell invasion in vitro. In this work, mice were immunized with eukaryotic-derived rQSOX1 for generation of hybridomas. Hundreds of hybridoma clones were screened by enzyme-linked immunosorbent assay (ELISA) and a fluorescent QSOX1 activity assay. Multiple rounds of subcloning and screening identified 2F1.14 and 3A10.6 as mAbs of interest. The genes for the variable regions of the antibodies were rescued and sequenced. The sequences were aligned with the variable region sequences of another published αQSOX1 mAb scFv492.1. 2F1.14 inhibits the enzymatic activity of QSOX1 by binding to the active site of QSOX1, which was determined by epitope mapping against mutants of QSOX1 that contained mutations in the active site. 3A10.6 did not appear to inhibit the function of QSOX1 in the activity assay; however, it, along with 2F1.14, suppressed tumor invasion in a 3D invasion model. These findings support the developing idea that QSOX1 is a viable target for cancer treatment because targeted inhibition of QSOX1 extracellularly reduced invasive activity. The mAbs and rQSOX1 variants produced here can serve as tools in furthering the characterization of QSOX1 and its role in cancer.
ContributorsKoelbel, Calvin John (Author) / Lake, Douglas (Thesis advisor) / Chen, Qiang "Shawn" (Committee member) / Ho, Thai (Committee member) / Arizona State University (Publisher)
Created2019
Description
Multicellular organisms use precise gene regulation, executed throughout development, to build and sustain various cell and tissue types. Post-transcriptional gene regulation is essential for metazoan development and acts on mRNA to determine its localization, stability, and translation. MicroRNAs (miRNAs) and RNA binding proteins (RBPs) are the principal effectors of post-transcriptional gene regulation and act by targeting the 3'untranslated regions (3'UTRs) of mRNA. MiRNAs are small non-coding RNAs that have the potential to regulate hundreds to thousands of genes and are dysregulated in many prevalent human diseases such as diabetes, Alzheimer's disease, Duchenne muscular dystrophy, and cancer. However, the precise contribution of miRNAs to the pathology of these diseases is not known.
MiRNA-based gene regulation occurs in a tissue-specific manner and is implemented by an interplay of poorly understood and complex mechanisms, which control both the presence of the miRNAs and their targets. As a consequence, the precise contributions of miRNAs to gene regulation are not well known. The research presented in this thesis systematically explores the targets and effects of miRNA-based gene regulation in cell lines and tissues.
I hypothesize that miRNAs have distinct tissue-specific roles that contribute to the gene expression differences seen across tissues. To address this hypothesis and expand our understanding of miRNA-based gene regulation, 1) I developed the human 3'UTRome v1, a resource for studying post-transcriptional gene regulation. Using this resource, I explored the targets of two cancer-associated miRNAs miR-221 and let-7c. I identified novel targets of both these miRNAs, which present potential mechanisms by which they contribute to cancer. 2) Identified in vivo, tissue-specific targets in the intestine and body muscle of the model organism Caenorhabditis elegans. The results from this study revealed that miRNAs regulate tissue homeostasis, and that alternative polyadenylation and miRNA expression patterns modulate miRNA targeting at the tissue-specific level. 3) Explored the functional relevance of miRNA targeting to tissue-specific gene expression, where I found that miRNAs contribute to the biogenesis of mRNAs, through alternative splicing, by regulating tissue-specific expression of splicing factors. These results expand our understanding of the mechanisms that guide miRNA targeting and its effects on tissue-specific gene expression.
MiRNA-based gene regulation occurs in a tissue-specific manner and is implemented by an interplay of poorly understood and complex mechanisms, which control both the presence of the miRNAs and their targets. As a consequence, the precise contributions of miRNAs to gene regulation are not well known. The research presented in this thesis systematically explores the targets and effects of miRNA-based gene regulation in cell lines and tissues.
I hypothesize that miRNAs have distinct tissue-specific roles that contribute to the gene expression differences seen across tissues. To address this hypothesis and expand our understanding of miRNA-based gene regulation, 1) I developed the human 3'UTRome v1, a resource for studying post-transcriptional gene regulation. Using this resource, I explored the targets of two cancer-associated miRNAs miR-221 and let-7c. I identified novel targets of both these miRNAs, which present potential mechanisms by which they contribute to cancer. 2) Identified in vivo, tissue-specific targets in the intestine and body muscle of the model organism Caenorhabditis elegans. The results from this study revealed that miRNAs regulate tissue homeostasis, and that alternative polyadenylation and miRNA expression patterns modulate miRNA targeting at the tissue-specific level. 3) Explored the functional relevance of miRNA targeting to tissue-specific gene expression, where I found that miRNAs contribute to the biogenesis of mRNAs, through alternative splicing, by regulating tissue-specific expression of splicing factors. These results expand our understanding of the mechanisms that guide miRNA targeting and its effects on tissue-specific gene expression.
ContributorsKotagama, Kasuen Indrajith Bandara (Author) / Mangone, Marco (Thesis advisor) / LaBaer, Joshua (Committee member) / Newbern, Jason (Committee member) / Rawls, Alan (Committee member) / Arizona State University (Publisher)
Created2019
Description
Cellular and molecular biologists often perform cellular assays to obtain a better understanding of how cells work. However, in order to obtain a measurable response by the end of an experiment, the cells must reach an ideal cell confluency. Prior to conducting the cellular assays, range-finding experiments need to be conducted to determine an initial plating density that will result in this ideal confluency, which can be costly. To help alleviate this common issue, a mathematical model was developed that describes the dynamics of the cell population used in these experiments. To develop the model, images of cells from different three-day experiments were analyzed in Photoshop®, giving a measure of cell count and confluency (the percentage of surface area covered by cells). The cell count data were then fitted into an exponential growth model and were correlated to the cell confluency to obtain a relationship between the two. The resulting mathematical model was then evaluated with data from an independent experiment. Overall, the exponential growth model provided a reasonable and robust prediction of the cell confluency, though improvements to the model can be made with a larger dataset. The approach used to develop this model can be adapted to generate similar models of different cell-lines, which will reduce the number of preliminary range-finding experiments. Reducing the number of these preliminary experiments can save valuable time and experimental resources needed to conduct studies using cellular assays.
ContributorsGuerrero, Victor Dominick (Co-author) / Guerrero, Victor (Co-author) / Watanabe, Karen (Thesis director) / Jurutka, Peter (Committee member) / School of Mathematical and Natural Sciences (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The distinguishing feature of the filamentous fungi is the hyphae - tube-like microscopic cells that exhibit polarized growth via apical extension and allow the fungus to interact with its environment. Fungi elongate at the hyphal apex, through the localized construction of new plasma membrane and cell wall through the exocytosis of secretory vesicles. One population of these vesicles have been identified as chitosomes, containing chitin synthase isoenzymes, which are responsible for the polymerization of N-acetylglucosamine from UDP N-acetylglucosamine into chitin, the primary fibrillar component of the fungal cell wall. The chitosomes, in addition to other vesicles, can be observed aggregating in the hyphal tip in most filamentous fungi. In the Ascomycota and Basidiomycota, this collection of vesicles exhibits discrete organization and has been termed a Spitzenkörper. Although accumulations of vesicles can be observed in the hyphal tip of many growing filamentous fungi, some debate continues as to what precisely defines a Spitzenkörper. This study reports the details of three separate projects: first, to document the effects of deleting a single chitin synthase, CHS-1 and CHS-6 in Neurospora crassa with regards to hyphal ultrastructure, cytoplasmic organization, and growth in comparison to the wild-type. Given the importance of chitin synthesis in fungal cell growth, deletion of a critical chitin synthase presumably impacts cell wall structure, fungal growth and cytoplasmic organization. Second, an examination of the ultrastructure of four zygomycetous fungi - Coemansia reversa, Mortierella verticillata, Mucor indicus, and Gilbertella persicaria has been conducted. Utilization of cryofixation and freeze-substitution techniques for electron microscopy has produced improved preservation of cytoplasmic ultrastructure, particularly at the hyphal apex, allowing detailed analysis of vesicle size, contents, and organization. Lastly, hyphal tip organization was reviewed in a broad range of fungi. Previous studies had either focused on a few select fungi or representative groups. Vesicle organization, composition and size do appear to vary among the classes of fungi, but some trends, like the vesicle crescent in the zygomycetous fungi have been documented.
ContributorsFisher, Karen Elizabeth (Author) / Roberson, Robert W. (Thesis advisor) / Chandler, Douglas (Committee member) / Riquelme, Meritxell (Committee member) / Stutz, Jeam (Committee member) / Wojciechowski, Martin (Committee member) / Arizona State University (Publisher)
Created2015
Description
Traumatic brain injury (TBI) is a significant public health concern in the U.S., where approximately 1.7 million Americans sustain a TBI annually, an estimated 52,000 of which lead to death. Almost half (43%) of all TBI patients report experiencing long-term cognitive and/or motor dysfunction. These long-term deficits are largely due to the expansive biochemical injury that underlies the mechanical injury traditionally associated with TBI. Despite this, there are currently no clinically available therapies that directly address these underlying pathologies. Preclinical studies have looked at stem cell transplantation as a means to mitigate the effects of the biochemical injury with moderate success; however, transplants suffer very low retention and engraftment rates (2-4%). Therefore, transplants need better tools to dynamically respond to the injury microenvironment.
One approach to develop new tools for stem cell transplants may be to look towards the endogenous repair response for inspiration. Specifically, activated cell types surrounding the injury secrete the chemokine stromal cell-derived factor-1α (SDF-1α), which has been shown to play a critical role in recruiting endogenous neural progenitor/stem cells (NPSCs) to the site of injury. Therefore, it was hypothesized that improving NPSC response to SDF-1α may be a viable mechanism for improving NPSC transplant retention and migration into the surrounding host tissue. To this end, work presented here has 1. identified critical extracellular signals that mediate the NPSC response to SDF-1α, 2. incorporated these findings into the development of a transplantation platform that increases NPSC responsiveness to SDF-1α and 3. observed increased NPSC responsiveness to local exogenous SDF-1α signaling following transplantation within our novel system. Future work will include studies investigating NSPC response to endogenous, injury-induced SDF-1α and the application of this work to understanding differences between stem cell sources and their implications in cell therapies.
One approach to develop new tools for stem cell transplants may be to look towards the endogenous repair response for inspiration. Specifically, activated cell types surrounding the injury secrete the chemokine stromal cell-derived factor-1α (SDF-1α), which has been shown to play a critical role in recruiting endogenous neural progenitor/stem cells (NPSCs) to the site of injury. Therefore, it was hypothesized that improving NPSC response to SDF-1α may be a viable mechanism for improving NPSC transplant retention and migration into the surrounding host tissue. To this end, work presented here has 1. identified critical extracellular signals that mediate the NPSC response to SDF-1α, 2. incorporated these findings into the development of a transplantation platform that increases NPSC responsiveness to SDF-1α and 3. observed increased NPSC responsiveness to local exogenous SDF-1α signaling following transplantation within our novel system. Future work will include studies investigating NSPC response to endogenous, injury-induced SDF-1α and the application of this work to understanding differences between stem cell sources and their implications in cell therapies.
ContributorsAddington, Caroline (Author) / Stabenfeldt, Sarah E (Thesis advisor) / Kleim, Jeffrey A (Committee member) / Caplan, Michael R (Committee member) / Lifshitz, Jonathan (Committee member) / Massia, Stephen P (Committee member) / Arizona State University (Publisher)
Created2015
Description
Euendolithic cyanobacteria have the remarkable ability to actively excavate and grow within certain minerals. Their activity leads to increased erosion of marine and terrestrial carbonates, negatively affecting coral reef and bivalve ecology. Despite their environmental relevance, the boring mechanism has remained elusive and paradoxical, in that cyanobacteria alkalinize their surroundings, typically leading to carbonate precipitation, not dissolution. Thus, euendoliths must rely on unique adaptations to bore. Recent work using the filamentous model euendolith Mastigocoleus testarum strain BC008 indicated that excavation relied on transcellular calcium transport mediated by P-type ATPases, but the phenomenon remained unclear. Here I present evidence that excavation in M. testarum involves an unprecedented set of adaptations. Long-range calcium transport is achieved through the coordinated pumping of multiple cells, orchestrated by the localization of calcium ATPases in a repeating annular pattern, positioned at a single cell pole, adjacent to each cell septum along the filament. Additionally, specialized chlorotic cells that I named calcicytes, differentiate and accumulate calcium at concentrations more than 500 fold those of canonical cells, likely allowing for fast calcium flow at non-toxic concentrations through undifferentiated cells. I also show, using 13C stable isotope tracers and NanoSIMS imaging, that endolithic M. testarum derives most of its carbon from the mineral carbonates it dissolves, the first autotroph ever shown to fix mineral carbon, confirming the existence of a direct link between oxidized solid carbon pools and reduced organic pools in the biosphere. Finally, using genomic and transcriptomic approaches, I analyze gene expression searching for additional adaptations related to the endolithic lifestyle. A large and diverse set of genes (24% of 6917 genes) were significantly differentially regulated while boring, including several master regulators and genes expectedly needed under this condition (such as transport, nutrient scavenging, oxidative stress, and calcium-binding protein genes). However, I also discovered the up-regulation of several puzzling gene sets involved in alternative carbon fixation pathways, anaerobic metabolism, and some related to photosynthesis and respiration. This transcriptomic data provides us with several new, readily testable hypotheses regarding adaptations to the endolithic lifestyle. In all, my data clearly show that boring organisms show extraordinarily interesting adaptations.
ContributorsGuida, Brandon Scott (Author) / Garcia-Pichel, Ferran (Thesis advisor) / Chandler, Douglas (Committee member) / Bingham, Scott (Committee member) / Roberson, Robert (Committee member) / Arizona State University (Publisher)
Created2016
Description
Several debilitating neurological disorders, such as Alzheimer's disease, stroke, and spinal cord injury, are characterized by the damage or loss of neuronal cell types in the central nervous system (CNS). Human neural progenitor cells (hNPCs) derived from human pluripotent stem cells (hPSCs) can proliferate extensively and differentiate into the various neuronal subtypes and supporting cells that comprise the CNS. As such, hNPCs have tremendous potential for disease modeling, drug screening, and regenerative medicine applications. However, the use hNPCs for the study and treatment of neurological diseases requires the development of defined, robust, and scalable methods for their expansion and neuronal differentiation. To that end a rational design process was used to develop a vitronectin-derived peptide (VDP)-based substrate to support the growth and neuronal differentiation of hNPCs in conventional two-dimensional (2-D) culture and large-scale microcarrier (MC)-based suspension culture. Compared to hNPCs cultured on ECMP-based substrates, hNPCs grown on VDP-coated surfaces displayed similar morphologies, growth rates, and high expression levels of hNPC multipotency markers. Furthermore, VDP surfaces supported the directed differentiation of hNPCs to neurons at similar levels to cells differentiated on ECMP substrates. Here it has been demonstrated that VDP is a robust growth and differentiation matrix, as demonstrated by its ability to support the expansions and neuronal differentiation of hNPCs derived from three hESC (H9, HUES9, and HSF4) and one hiPSC (RiPSC) cell lines. Finally, it has been shown that VDP allows for the expansion or neuronal differentiation of hNPCs to quantities (>1010) necessary for drug screening or regenerative medicine purposes. In the future, the use of VDP as a defined culture substrate will significantly advance the clinical application of hNPCs and their derivatives as it will enable the large-scale expansion and neuronal differentiation of hNPCs in quantities necessary for disease modeling, drug screening, and regenerative medicine applications.
ContributorsVarun, Divya (Author) / Brafman, David (Thesis advisor) / Nikkhah, Mehdi (Committee member) / Stabenfeldt, Sarah (Committee member) / Arizona State University (Publisher)
Created2016
Description
Thrombus (blood clot) formation is at the roots of hemostasis and pathological thrombosis. Although many studies have successfully elucidated the cellular and molecular mechanisms underlying thrombus formation, there is still a void in understanding the processes limiting thrombus growth beyond that needed for stabilization. As a hemostatic thrombus grows, its surface consisting primarily of platelets changes to that composed of fibrin, which mechanically stabilizes the thrombus. Formation of fibrin ceases after some time; however, it is unclear why this fibrin is non-thrombogenic. This is puzzling since fibrin is known to support strong integrin-mediated adhesion of both platelets and leukocytes in vitro. Therefore, it would be expected that the fibrin surface of hemostatic thrombi in the circulation also support accumulation of these cells and thus continuous thrombus growth or degradation. Nevertheless, many in vivo studies did not detect any accumulation of blood cells including platelets at the fibrin surfaces of thrombi. This finding suggests the existence of natural processes that modulate the adhesive properties of fibrin to ensure proper regulation of thrombus growth, stability and degradation. In this dissertation, I document and discuss the findings supporting the existence of anti-adhesive mechanisms and their physiological relevance in surface-mediated control of thrombus growth and stability. The studies discussed in my dissertation have the potential to establish a novel aspect of hemostasis. Furthermore, it may provide new insights into the intricate and dynamic interplay between the mechanisms underlying hemostatic balance, which is essential to understanding the dysfunction of this process during pathological conditions.
ContributorsOwaynat, Hadil (Author) / Chandler, Douglas E. (Thesis advisor) / Wilson-Rawls, Norma J (Committee member) / Lake, Douglas F (Committee member) / Baluch, Debra P (Committee member) / Arizona State University (Publisher)
Created2016
Description
Cancer is a major health problem in the world today and is expected to become an even larger one in the future. Although cancer therapy has improved for many cancers in the last several decades, there is much room for further improvement. Mathematical modeling has the advantage of being able to test many theoretical therapies without having to perform clinical trials and experiments. Mathematical oncology will continue to be an important tool in the future regarding cancer therapies and management.
This dissertation is structured as a growing tumor. Chapters 2 and 3 consider spheroid models. These models are adept at describing 'early-time' tumors, before the tumor needs to co-opt blood vessels to continue sustained growth. I consider two partial differential equation (PDE) models for spheroid growth of glioblastoma. I compare these models to in vitro experimental data for glioblastoma tumor cell lines and other proposed models. Further, I investigate the conditions under which traveling wave solutions exist and confirm numerically.
As a tumor grows, it can no longer be approximated by a spheroid, and it becomes necessary to use in vivo data and more sophisticated modeling to model the growth and diffusion. In Chapter 4, I explore experimental data and computational models for describing growth and diffusion of glioblastoma in murine brains. I discuss not only how the data was obtained, but how the 3D brain geometry is created from Magnetic Resonance (MR) images. A 3D finite-difference code is used to model tumor growth using a basic reaction-diffusion equation. I formulate and test hypotheses as to why there are large differences between the final tumor sizes between the mice.
Once a tumor has reached a detectable size, it is diagnosed, and treatment begins. Chapter 5 considers modeling the treatment of prostate cancer. I consider a joint model with hormonal therapy as well as immunotherapy. I consider a timing study to determine whether changing the vaccine timing has any effect on the outcome of the patient. In addition, I perform basic analysis on the six-dimensional ordinary differential equation (ODE). I also consider the limiting case, and perform a full global analysis.
This dissertation is structured as a growing tumor. Chapters 2 and 3 consider spheroid models. These models are adept at describing 'early-time' tumors, before the tumor needs to co-opt blood vessels to continue sustained growth. I consider two partial differential equation (PDE) models for spheroid growth of glioblastoma. I compare these models to in vitro experimental data for glioblastoma tumor cell lines and other proposed models. Further, I investigate the conditions under which traveling wave solutions exist and confirm numerically.
As a tumor grows, it can no longer be approximated by a spheroid, and it becomes necessary to use in vivo data and more sophisticated modeling to model the growth and diffusion. In Chapter 4, I explore experimental data and computational models for describing growth and diffusion of glioblastoma in murine brains. I discuss not only how the data was obtained, but how the 3D brain geometry is created from Magnetic Resonance (MR) images. A 3D finite-difference code is used to model tumor growth using a basic reaction-diffusion equation. I formulate and test hypotheses as to why there are large differences between the final tumor sizes between the mice.
Once a tumor has reached a detectable size, it is diagnosed, and treatment begins. Chapter 5 considers modeling the treatment of prostate cancer. I consider a joint model with hormonal therapy as well as immunotherapy. I consider a timing study to determine whether changing the vaccine timing has any effect on the outcome of the patient. In addition, I perform basic analysis on the six-dimensional ordinary differential equation (ODE). I also consider the limiting case, and perform a full global analysis.
ContributorsRutter, Erica Marie (Author) / Kuang, Yang (Thesis advisor) / Kostelich, Eric J (Thesis advisor) / Frakes, David (Committee member) / Gardner, Carl (Committee member) / Jackiewicz, Zdzislaw (Committee member) / Arizona State University (Publisher)
Created2016