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- Genre: Masters Thesis
Description
Writing speculative fiction is a valuable method for exploring the potential societal transformations elicited by advances in science and technology. The aim of this project is to use speculative fiction to explore the potential consequences of precision medicine for individuals’ daily lives. Precision medicine is a vision of the future in which medicine is about predicting, and ultimately preventing disease before symptoms arise. The idea is that identification of all the factors that influence health and contribute to disease development will translate to better and less expensive healthcare and empower individuals to take responsibility for maintaining their own health and wellness. That future, as envisioned by the leaders of the Human Genome Project, the Institute for Systems Biology, and the Obama administration’s Precision Medicine Initiative, is assumed to be a shared future, one that everyone desires and that is self-evidently “better” than the present. The aim of writing speculative fiction about a “precision medicine” future is to challenge that assumption, to make clear the values underpinning that vision of precision medicine, and to leave open the question of what other possible futures could be imagined instead.
ContributorsVenkatraman, Richa (Author) / Brian, Jennifer (Thesis advisor) / Maienschein, Jane (Thesis advisor) / Hurlbut, James (Committee member) / Arizona State University (Publisher)
Created2022
Description
When most people think of Phoenix, Arizona, they think of sprawling cityscapesand hot desert mountains full of saguaros and other cacti. They rarely think of water and
fish, and yet, the Arizona landscape is home to many lakes, ponds, rivers and streams,
full of both native fish and sportfish, including in the urban areas. According to the report
by DeSemple in 2006, between the years 2001 and 2006, the Rio Salado Environmental
Restoration Project worked to revitalize the dry river bed that runs through Phoenix, that
included the construction of two urban ponds, the Demonstration Pond and the Reservoir
Pond. At the start of this study, it was unknown what vertebrate species inhabited these
ponds, but it was known that these urban ponds have been used to dump unwanted
aquatic pets. The bluegill Lepomis macrochirus was found to reside in both ponds, and as
it is such an important sportfish species, it was chosen as the focal species for these
studies, which took place over periods in March, May, July, and September of 2021.
Single-season occupancy models were used to attempt to determine how L. macrochirus,
use the microhabitats within the system, and a multi-season model was used to estimate
their recruitment, and seasonal changes in occupancy. In addition, this study also
attempts to understand the size structures of the L. macrochirus population in the
Reservoir Pond and the population in the Demonstration Pond, and if that size structure
varies from March to September. As the populations of these ponds are physically
isolated from one another, statistical tests were also done to determine if the size
structures of the two populations of L. macrochirus differ from one another and found
that the two populations do indeed differ from one another, but only during two of the
sampling periods.
ContributorsKeister, Emily Jan (Author) / Saul, Steven (Thesis advisor) / Bateman, Heather (Committee member) / Suzart de Albuquerque, Fabio (Committee member) / Arizona State University (Publisher)
Created2022
Description
While only the sixth most common cancer globally, liver cancer is the third most deadly. Despite the importance of accurate diagnosis and effective treatment, standard diagnostic tests for most solid organ neoplasms are not required for the most common type of liver cancer, Hepatocellular Carcinoma (HCC). In addition, major discrepancies in the practices currently in place limits the ability to develop more precise oncological treatment and prognosis. This study aimed to identify biomarkers, with potential to more accurately diagnose how far cancer has advanced within a patient and determine prognosis. It is the hope that pathways provided by this study form the basis for future research into more standardized practices and potential treatment based on specific affected biological processes. The PathOlogist tool was utilized to calculate activity metrics for 1,324 biological pathways in 374 The Cancer Genome Atlas (TCGA) hepatocellular carcinoma donors. Further statistical analysis was done on two datasets, formed to identify grade or stage at time of diagnosis for the activity levels calculated by PathOlogist. The datasets were evaluated individually. Based on the variance and normality of each pathway’s activity levels in the respective data sets analysis of variance, Tukey-Kramer, Kruskal-Wallis, and Mann-Whitney-Wilcox tests were performed, when appropriate, to determine any statistically significant differences in pathway activity levels. Pathways were identified in both stage and grade data analyses that show significant differences in activity levels across designation. While some overlap is seen, there was a significant number of pathways unique to either stage or grade. These pathways are known to affect the cell cycle, cellular transport, disease, immune system, and metabolism regulation.
The biological pathways named by this research depict prospective biomarkers for progression of hepatocellular carcinoma per subdivision within both stage and grade. These findings may be instrumental to new methods of early and more accurate diagnosis. The distinct differences in identified pathways in grade and stage illustrate the need for these new methods to not only look at stage but also grade when determining prognosis. Furthermore, the pathways identified herein have potential to aid in the development of targeted treatment based on the affected biological processes.
ContributorsGarrison, Alyssa Cameron (Author) / Buetow, Kenneth (Thesis advisor) / Hinde, Katie (Committee member) / Wilson, Melissa (Committee member) / Arizona State University (Publisher)
Created2022
Description
Cocaine induces long-lasting changes in mesolimbic ‘reward’ circuits of the brain after cessation of use. These lingering changes include the neuronal plasticity that is thought to underlie the chronic relapsing nature of substance use disorders. Genes involved in neuronal plasticity also encode circular RNAs (circRNAs), which are stable, non-coding RNAs formed through the back-splicing of pre-mRNA. The Homer1 gene family, which encodes proteins associated with cocaine-induced plasticity, also encodes circHomer1. Based on preliminary evidence from shows cocaine-regulated changes in the ratio of circHomer1 and Homer1b mRNA in the nucleus accumbens (NAc), this study examined the relationship between circHomer1 and incentive motivation for cocaine by using different lengths of abstinence to vary the degree of motivation. Male and female rats were trained to self-administer cocaine (0.75 mg/kg/infusion, IV) or received a yoked saline infusion. Rats proceeded on an increasingly more difficult variable ratio schedule of lever pressing until they reached a variable ratio 5 schedule, which requires an average of 5 lever presses, and light and tone cues were delivered with the drug infusions. Rats were then tested for cocaine-seeking behavior in response to cue presentations without drug delivery either 1 or 21 days after their last self-administration session. They were sacrificed immediately after and circHomer1 and Homer1b expression was then measured from homogenate and synaptosomal fractions of NAc shell using RT-qPCR. Lever pressing during the cue reactivity test increased from 1 to 21 days of abstinence as expected. Results showed no group differences in synaptic circHomer1 expression, however, total circHomer1 expression was downregulated in 21d rats compared to controls. Lack of change in synaptic circHomer1 was likely due to trends toward different temporal changes in males versus females. Total Homer1b expression was higher in females, although there was no effect of cocaine abstinence. Further research investigating the time course of circHomer1 and Homer1b expression is warranted based on the inverse relationship between total circHomer1and cocaine-seeking behavior observed in this study.
ContributorsJohnson, Michael Christian (Author) / Neisewander, Janet L (Thesis advisor) / Perrone-Bizzozero, Nora (Thesis advisor) / Mangone, Marco (Committee member) / Arizona State University (Publisher)
Created2022
Description
A big part of understanding cancer is understanding the cellular environment itthrives in by analyzing it from a microecological perspective. Humans and other species
are affected by different cancer types, and this highlights the notion that there may be a
correlation between specific tissues and neoplasia prevalence. Research shows that
humans are the most susceptible to adenocarcinomas and carcinomas which include the
following tissues: lungs, breast, prostate, and pancreas. Furthermore, research shows that
adenocarcinoma accounts for 38.5% of all lung cancer cases, 20% of small cell
carcinomas, and 2.9% of large cell carcinoma. The incidence of the most common cancer
types in humans is consistently increasing annually. This study analyzes trends of tissue-specific cancers across species to examine possible contributors to vulnerability to
cancer. I predicted that adenocarcinomas would be the most prevalent cancer type across
the tree of life. To test this hypothesis, I reviewed over 130 species that reported equal to
or greater than 50 individual necropsy pathology records across 4 classes (Mammalia,
amphibia, Reptilia, Aves) and ranked them by neoplasia prevalence. This information was
then organized in tables in descending order. The study’s resulting tables and data
concluded that the hypothesis was correct. I found that across all species
adenocarcinomas were the most common cancer type and account for 30.4% of
malignancies reported among species. Future research should investigate how organ size
contributes to neoplasia prevalence.
ContributorsPERAZA, ASHLEY (Author) / Maley, Carlo (Thesis advisor) / Boddy, Amy (Thesis advisor) / Baciu, Cristina (Committee member) / Arizona State University (Publisher)
Created2022
Description
Insecticide resistance is a continuing issue that negatively affects both public health and agriculture and allows vector-borne diseases to spread throughout the globe. To improve resistance management strategies (RMS), robust susceptibility bioassays need to be performed in order to fill the gap of the relationship between resistant and susceptible genotype and phenotype, and a deeper knowledge of how bioassay data relates to vector control success or failure is imperative. A bioassay method that is infrequently used but yields robust results is the topical application bioassay, where the insect is directly treated with a constant volume and concentration of an insecticide via a syringe. To bring more attention to this method, my colleagues and I published a paper in the Journal of Visualized Experiments where the optimized protocol of the topical application bioassay for mosquitoes and fruit flies is described, and the strengths and limitations to the method are explained. To further investigate insecticide susceptibility tests, I set up my individual project where I used Aedes aegypti mosquitoes to compare the topical application bioassay to the commonly used Centers for Disease Control and Prevention (CDC) bottle bioassay and World Health Organization (WHO) tube test. The objective of this study was to test which method exhibited the most variability in mortality results, which would guide the choice of assay to determine the link between resistant and susceptible genotype and phenotype. The results showed that the topical application method did indeed exhibit the least amount of variation, followed by the CDC bottle bioassay (WHO data is currently being collected). This suggests that the topical application bioassay could be a useful tool in insecticide resistance surveillance studies, and, depending on the goal, may be better than the CDC and WHO tube tests for assessing resistance levels at a given site. This study challenges the value of the widely used CDC and WHO assays and provides a discussion on the importance of technical and practical resistance assays. This will help vector control specialists to collect accurate surveillance data that will inform effective RMS.
ContributorsAlthoff, Rachel (Author) / Huijben, Silvie (Thesis advisor) / Harris, Robin (Committee member) / Collins, James (Committee member) / Arizona State University (Publisher)
Created2022
Exploring the Relationship Between Depression and Graduate School Among Life Sciences Ph.D. Students
Description
Depression is one of the top mental health concerns among biology graduate students and has contributed to the “graduate student mental health crisis” declared in 2018. Prominent science outlets have called for interventions to improve graduate student mental health, but few studies have examined the relationship between depression and graduate school among life sciences Ph.D. students. In this coupled set of qualitative interview studies, 50 life sciences Ph.D. students from 28 institutions across the United States were interviewed. The first study explored how research and teaching affect depression in Ph.D. students and how depression in turn also affects students’ experiences in graduate school. Using inductive coding, four overarching aspects of graduate school that influenced student depression were highlighted, (1) structure in teaching and research, (2) positive and negative reinforcement, (3) success and failure, and (4) social support and isolation. The second study explored depression as a concealable stigmatized identity (CSI) by examining (1) to what extent and why graduate students revealed their depression to faculty advisors, graduate students, and undergraduate researchers, and (2) the consequences or benefits that they perceive are associated with revealing one’s depression through a hybrid approach of deductive and inductive coding. Graduate students most commonly revealed their depression to other graduate students; however, most were reluctant to share their depression with undergraduate researchers. These qualitative interview studies provide insights into creating more inclusive life science graduate programs for students with depression.
ContributorsWiesenthal, Nicholas John (Author) / Cooper, Katelyn M (Thesis advisor) / Brownell, Sara E (Committee member) / Maienschein, Jane (Committee member) / Arizona State University (Publisher)
Created2022
Description
Functional magnetic resonance imaging (fMRI) has been widely used to measure the retinotopic organization of early visual cortex in the human brain. Previous studies have identified multiple visual field maps (VFMs) based on statistical analysis of fMRI signals, but the resulting geometry has not been fully characterized with mathematical models. This thesis explores using concepts from computational conformal geometry to create a custom software framework for examining and generating quantitative mathematical models for characterizing the geometry of early visual areas in the human brain. The software framework includes a graphical user interface built on top of a selected core conformal flattening algorithm and various software tools compiled specifically for processing and examining retinotopic data. Three conformal flattening algorithms were implemented and evaluated for speed and how well they preserve the conformal metric. All three algorithms performed well in preserving the conformal metric but the speed and stability of the algorithms varied. The software framework performed correctly on actual retinotopic data collected using the standard travelling-wave experiment. Preliminary analysis of the Beltrami coefficient for the early data set shows that selected regions of V1 that contain reasonably smooth eccentricity and polar angle gradients do show significant local conformality, warranting further investigation of this approach for analysis of early and higher visual cortex.
ContributorsTa, Duyan (Author) / Wang, Yalin (Thesis advisor) / Maciejewski, Ross (Committee member) / Wonka, Peter (Committee member) / Arizona State University (Publisher)
Created2013
Description
Biomass synthesis is a competing factor in biological systems geared towards generation of commodity and specialty chemicals, ultimately limiting maximum titer and yield; in this thesis, a widely generalizable, modular approach focused on decoupling biomass synthesis from the production of the phenylalanine in a genetically modified strain of E. coli BW25113 was explored with the use of synthetic trans-encoded small RNA (sRNA) to achieve greater efficiency. The naturally occurring sRNA MicC was used as a scaffold, and combined on a plasmid with a promoter for anhydrous tetracycline (aTc) and a T1/TE terminator. The coding sequence corresponding to the target binding site for fourteen potentially growth-essential gene targets as well as non-essential lacZ was placed in the seed region of the of the sRNA scaffold and transformed into BW25113, effectively generating a unique strain for each gene target. The BW25113 strain corresponding to each gene target was screened in M9 minimal media; decreased optical density and elongated cell morphology changes were observed and quantified in all induced sRNA cases where growth-essential genes were targeted. Six of the strains targeting different aspects of cell division that effectively suppressed growth and resulted in increased cell size were then screened for viability and metabolic activity in a scaled-up shaker flask experiment; all six strains were shown to be viable during stationary phase, and a metabolite analysis showed increased specific glucose consumption rates in induced strains, with unaffected specific glucose consumption rates in uninduced strains. The growth suppression, morphology and metabolic activity of the induced strains in BW25113 was compared to the bacteriostatic additives chloramphenicol, tetracycline, and streptomycin. At this same scale, the sRNA plasmid targeting the gene murA was transformed into BW25113 pINT-GA, a phenylalanine overproducer with the feedback resistant genes aroG and pheA overexpressed. Two induction times were explored during exponential phase, and while the optimal induction time was found to increase titer and yield amongst the BW25113 pINT-GA murA sRNA variant, overall this did not have as great a titer or yield as the BW25113 pINT-GA strain without the sRNA plasmid; this may be a result of the cell filamentation.
ContributorsHerschel, Daniel Jordan (Author) / Nielsen, David R (Thesis advisor) / Torres, César I (Committee member) / Wang, Xuan (Committee member) / Arizona State University (Publisher)
Created2016
Description
In desert riparian ecosystems, rivers provide free water but access to that water diminishes with distance producing a steep gradient in the relative importance of water for growth and reproduction of riparian animals and hence, their biodiversity. Previous work suggests that water limited riparian predators eat more prey to meet their water demand where free water is not available. Here I explore the effect of water limitation on prey selection and per capita interaction strengths between a predatory spider ( Hogna antelucana) and two prey species occupying different trophic levels using a controlled field experiment conducted in the riparian forest of the San Pedro River, Cochise County, AZ. Lab measurements of water and energy content revealed that intermediate predators (smaller spiders in the genus Pardosa) had 100-fold higher energy: water ratios than an alternate prey species more basal in the food web (crickets in the genus Gryllus). Given this observation, I hypothesized that water-stressed predatory wolf spiders would select more water-laden crickets but switch to more energy rich Pardosa when water stress was experimentally eliminated. Additionally, I hypothesized that switching by quenched Hogna to Pardosa would reduce predation by Pardosa on Gryllus leading to increased abundance of the basal resource. Finally, I hypothesized that water mediated switching and release of basal prey would be stronger when male Hogna was the apex predator, because female Hogna have higher energetic costs of reproduction and hence, stronger energy limitation. Experimental water additions caused both sexes of Hogna to consume significantly higher numbers of Pardosa but this difference (between water and no-water treatments) did not vary significantly between male and female Hogna treatments. Similarly, strong negative interaction strengths between Hogna and Pardosa led to release of the basal prey species and positive interaction strengths of Hogna on Gryllus. Again strong positive, indirect effects of Hogna on Gryllus did not depend on the sex of the Hogna predator. However, water mediated indirect effects of Hogna (either sex) on Gryllus were the strongest for male Gryllus. These results suggest that water and energy co-dominate foraging decisions by predators and that in managing water-energy balance; predators can modify interaction pathways, sex-ratios of prey populations and trophic dynamics.
ContributorsLeinbach, Israel (Author) / Sabo, John (Thesis advisor) / Harrison, Jon (Committee member) / Johnson, Chadwick (Committee member) / Arizona State University (Publisher)
Created2015