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- All Subjects: Genetics
- Genre: Academic theses
- Creators: Newbern, Jason
- Creators: Bradley, Robert
- Member of: ASU Electronic Theses and Dissertations
- Resource Type: Text
Description
Understanding how interpersonal relationships, such as parenting and sibling relationships, may contribute to early sleep development is important, as early sleep dysregulation has been shown to impact later sleep behavior (Sadeh & Anders, 1993), as well as cognitive and behavioral functioning (Gregory et al., 2006; Soffer-Dudek et al., 2011). In addition, twin studies provide an optimal opportunity to estimate genetic and environmental contributions to parenting, sibling relationships and child sleep, as they are influenced by both genetic and contextual factors. As such, the current thesis examined whether parental punitive discipline and sibling conflict were associated with child sleep duration, dysregulation and daytime sleepiness at 12 months, 30 months, and five years in a longitudinal sample of young twins recruited through birth records (Lemery-Chalfant et al., 2013). Mixed model regression analyses and quantitative behavioral genetic models (univariate and bivariate) were conducted to explore bidirectional relations and estimate genetic and environmental contributions to parental punitive punishment, sibling conflict and child sleep parameters. Sleep duration and dysregulation showed stability over time. Parental punitive discipline did not predict concurrent or future sleep parameters, nor were there bidirectional relations between punitive discipline and child sleep behaviors. Greater sibling conflict at five years was associated with shorter concurrent child sleep duration and greater daytime sleepiness, suggesting that sibling conflict may be a critical interpersonal stressor that negatively impacts child sleep. Shared environmental factors also accounted for the greatest proportion of the covariance between sibling conflict and sleep duration and daytime sleepiness at five years. These findings hold promise for sleep and sibling interaction interventions, including educating parents about fostering positive sibling relations and teaching caregivers to utilize specific parenting behaviors that may encourage better child sleep behaviors (e.g., establishing bedtime routines). Future studies should aim to understand the nuances of associations between family relationships (like punitive discipline and sibling conflict) and child sleep, as well as other explore person- and family-level factors, such as child negative emotions and parenting, that may influence associations between family relationships and child sleep.
ContributorsBreitenstein, Reagan Styles (Author) / Doane, Leah D (Thesis advisor) / Lemery, Kathryn (Committee member) / Bradley, Robert (Committee member) / Arizona State University (Publisher)
Created2015
Description
This study examined whether early adversity at 30-months moderated the heritability of common and individual components of EF at 8 years. It was hypothesized that early adversity would not moderate the common EF factor, but instead moderate individual EF components. The sample included 208 twin pairs from the Arizona Twin Project. Early Adversity, assessed at 30 months of age, included Parenting Daily Hassles, low perceived MOS social support, punitive punishment (Parental Responses to Child Misbehavior), home chaos (Confusion, Hubbub, and Order Scale), CES-D maternal depression, and low maternal emotional availability. EF at 8 years included the Eriksen Flanker Task, Continuous Performance Task, Digit Span Forward and Backward, and parent-reported Attentional Focusing and Inhibitory Control (Temperament in Middle Childhood Questionnaire). For both early adversity and EF, the first principal components were extracted as composites. A confirmatory factor analysis was also conducted to index common EF. Genetic analyses were tested on the common EF composites as well as each individual task using umx. Univariate models revealed genetic influences on all individual measures and common EF, with broad sense heritability from .22 (Digit Span Backwards) to .61 (parent-reported inhibitory control). Shared environmental influences were found for the Flanker Task (.13) and parent-reported inhibitory control (.24), and E was moderate to high (.40-.73) for all measures except parent-report inhibitory control (.15) and attentional focusing (.31). Moderation of heritability was not observed in for Digit Span Forward, Digit Span Backward, and Attentional Focusing. However, the nonshared environment was moderated for Common EF, and the Flanker Task, and additive genes and the nonshared environment were moderated for the Continuous Performance Task and Inhibitory Control. Generally, total variance decreased as early adversity increased, suggesting that homes with low levels of adversity may allow children to interact with more proximal processes that can promote EF development.
ContributorsRea-Sandin, Gianna (Author) / Lemery-Chalfant, Kathryn (Thesis advisor) / Elam, Kit (Committee member) / Bradley, Robert (Committee member) / Arizona State University (Publisher)
Created2018
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
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
In species with highly heteromorphic sex chromosomes, the degradation of one of the sex chromosomes can result in unequal gene expression between the sexes (e.g., between XX females and XY males) and between the sex chromosomes and the autosomes. Dosage compensation is a process whereby genes on the sex chromosomes achieve equal gene expression which prevents deleterious side effects from having too much or too little expression of genes on sex chromsomes. The green anole is part of a group of species that recently underwent an adaptive radiation. The green anole has XX/XY sex determination, but the content of the X chromosome and its evolution have not been described. Given its status as a model species, better understanding the green anole genome could reveal insights into other species. Genomic analyses are crucial for a comprehensive picture of sex chromosome differentiation and dosage compensation, in addition to understanding speciation.
In order to address this, multiple comparative genomics and bioinformatics analyses were conducted to elucidate patterns of evolution in the green anole and across multiple anole species. Comparative genomics analyses were used to infer additional X-linked loci in the green anole, RNAseq data from male and female samples were anayzed to quantify patterns of sex-biased gene expression across the genome, and the extent of dosage compensation on the anole X chromosome was characterized, providing evidence that the sex chromosomes in the green anole are dosage compensated.
In addition, X-linked genes have a lower ratio of nonsynonymous to synonymous substitution rates than the autosomes when compared to other Anolis species, and pairwise rates of evolution in genes across the anole genome were analyzed. To conduct this analysis a new pipeline was created for filtering alignments and performing batch calculations for whole genome coding sequences. This pipeline has been made publicly available.
In order to address this, multiple comparative genomics and bioinformatics analyses were conducted to elucidate patterns of evolution in the green anole and across multiple anole species. Comparative genomics analyses were used to infer additional X-linked loci in the green anole, RNAseq data from male and female samples were anayzed to quantify patterns of sex-biased gene expression across the genome, and the extent of dosage compensation on the anole X chromosome was characterized, providing evidence that the sex chromosomes in the green anole are dosage compensated.
In addition, X-linked genes have a lower ratio of nonsynonymous to synonymous substitution rates than the autosomes when compared to other Anolis species, and pairwise rates of evolution in genes across the anole genome were analyzed. To conduct this analysis a new pipeline was created for filtering alignments and performing batch calculations for whole genome coding sequences. This pipeline has been made publicly available.
ContributorsRupp, Shawn Michael (Author) / Wilson Sayres, Melissa A (Thesis advisor) / Kusumi, Kenro (Committee member) / DeNardo, Dale (Committee member) / Arizona State University (Publisher)
Created2016
Description
MicroRNAs are small, non-coding transcripts that post-transcriptionally regulate expression of multiple genes. Recently microRNAs have been linked to the etiology of neuropsychiatric disorders, including drug addiction. Following genome-wide sequence analyses, microRNA-495 (miR-495) was found to target several genes within the Knowledgebase of Addiction-Related Genes (KARG) database and to be highly expressed in the nucleus accumbens (NAc), a pivotal brain region involved in reward and motivation. The central hypothesis of this dissertation is that NAc miR-495 regulates drug abuse-related behavior by targeting several addiction-related genes (ARGs). I tested this hypothesis in two ways: 1) by examining the effects of viral-mediated miR-495 overexpression or inhibition in the NAc of rats on cocaine abuse-related behaviors and gene expression, and 2) by examining changes in NAc miR-495 and ARG expression as a result of brief (i.e., 1 day) or prolonged (i.e., 22 days) cocaine self-administration. I found that behavioral measures known to be sensitive to motivation for cocaine were attenuated by NAc miR-495 overexpression, including resistance to extinction of cocaine conditioned place preference (CPP), cocaine self-administration on a high effort progressive ratio schedule of reinforcement, and cocaine-seeking behavior during both extinction and cocaine-primed reinstatement. These effects appeared specific to cocaine, as there was no effect of NAc miR-495 overexpression on a progressive ratio schedule of food reinforcement. In contrast, behavioral measures known to be sensitive to cocaine reward were not altered, including expression of cocaine CPP and cocaine self-administration under a low effort FR5 schedule of reinforcement. Importantly, the effects were accompanied by decreases in NAc ARG expression, consistent with my hypothesis. In further support, I found that NAc miR-495 levels were reduced and ARG levels were increased in rats following prolonged, but not brief, cocaine self-administration experience. Surprisingly, inhibition of NAc miR-495 expression also decreased both cocaine-seeking behavior during extinction and NAc ARG expression, which may reflect compensatory changes or unexplained complexities in miR-495 regulatory effects. Collectively, the findings suggest that NAc miR-495 regulates ARG expression involved in motivation for cocaine. Therefore, using microRNAs as tools to target several ARGs simultaneously may be useful for future development of addiction therapeutics.
ContributorsBastle, Ryan (Author) / Neisewander, Janet (Thesis advisor) / Newbern, Jason (Committee member) / Nikulina, Ella (Committee member) / Perrone-Bizzozero, Nora (Committee member) / Sanabria, Federico (Committee member) / Arizona State University (Publisher)
Created2016
Description
Schizophrenia, a debilitating neuropsychiatric disorder, affects 1% of the population. This multifaceted disorder is comprised of positive (hallucinations/psychosis), negative (social withdrawal/anhedonia) and cognitive symptoms. While treatments for schizophrenia have advanced over the past few years, high economic burdens are still conferred to society, totaling more than $34 billion in direct annual costs to the United States of America. Thus, a critical need exists to identify the factors that contribute towards the etiology of schizophrenia. This research aimed to determine the interactions between environmental factors and genetics in the etiology of schizophrenia. Specifically, this research shows that the immediate early gene, early growth response 3 (EGR3), which is upregulated in response to neuronal activity, resides at the center of a biological pathway to confer risk for schizophrenia. While schizophrenia-risk proteins including neuregulin 1 (NRG1) and N-methyl-D-aspartate receptors (NMDAR’s) have been identified upstream of EGR3, the downstream targets of EGR3 remain relatively unknown. This research demonstrates that early growth response 3 regulates the expression of the serotonin 2A-receptor (5HT2AR) in the frontal cortex following the physiologic stimulus, sleep deprivation. This effect is translated to the level of protein as 8 hours of sleep-deprivation results in the upregulation of 5HT2ARs, a target of antipsychotic medications. Additional downstream targets were identified following maximal upregulation of EGR3 through electroconvulsive stimulation (ECS). Both brain-derived neurotrophic factor (BDNF) and its epigenetic regulator, growth arrest DNA-damage-inducible 45 beta (GADD45B) are upregulated one-hour following ECS in the hippocampus and require the presence of EGR3. These proteins play important roles in both cellular proliferation and dendritic structural changes. Next, the effects of ECS on downstream neurobiological processes, hippocampal cellular proliferation and dendritic structural changes were examined. Following ECS, hippocampal cellular proliferationwas increased, and dendritic structural changes were observed in both wild-type and early growth response 3 knock-out (Egr3-/-) mice. Effects in the number of dendritic spines and dendritic complexity following ECS were not found to require EGR3. Collectively, these results demonstrate that neuronal activity leads to the regulation of schizophrenia risk proteins by EGR3 and point to a possible molecular mechanism contributing risk for schizophrenia.
ContributorsMeyers, Kimberly (Author) / Gallitano, Amelia L (Thesis advisor) / Newbern, Jason (Thesis advisor) / Mangone, Marco (Committee member) / Nikulina, Ella (Committee member) / Qiu, Shenfeng (Committee member) / Ferguson, Deveroux (Committee member) / Arizona State University (Publisher)
Created2020
Description
Duchenne muscular dystrophy (DMD) is a lethal, X-linked disease characterized by progressive muscle degeneration. The condition is driven by out-of-frame mutations in the dystrophin gene, and the absence of a functional dystrophin protein ultimately leads to instability of the sarcolemma, skeletal muscle necrosis, and atrophy. While the structural changes that occur in dystrophic muscle are well characterized, resulting changes in muscle-specific gene expression that take place in dystrophin’s absence remain largely uncharacterized, as they are potentially obscured by the characteristic chronic inflammation in dystrophin deficient muscle.
The conservation of the dystrophin gene across metazoans suggests that both vertebrate and invertebrate model systems can provide valuable contributions to the understanding of DMD initiation and progression. Specifically, the invertebrate C. elegans possesses a dystrophin protein ortholog, dys-1, and a mild inflammatory response that is inactive in the muscle, allowing for the characterization of transcriptome rearrangements affecting disease progression independently of inflammation. Furthermore, C. elegans do not possess a satellite cell equivalent, meaning muscle regeneration does not occur. This makes C. elegans unique in that they allow for the study of dystrophin deficiencies without muscle regeneration that may obscure detection of subtle but consequential changes in gene expression.
I hypothesize that gaining a comprehensive definition of both the structural and signaling roles of dystrophin in C. elegans will improve the community’s understanding of the progression of DMD as a whole. To address this hypothesis, I have performed a phylogenetic analysis on the conservation of each member of the dystrophin associated protein complex (DAPC) across 10 species, established an in vivo system to identify muscle-specific changes in gene expression in the dystrophin-deficient C. elegans, and performed a functional analysis to test the biological significance of changes in gene expression identified in my sequencing results. The results from this study indicate that in C. elegans, dystrophin may have a signaling role early in development, and its absence may activate compensatory mechanisms that counteract disease progression. Furthermore, these findings allow for the identification of transcriptome changes that potentially serve as both independent drivers of disease and potential therapeutic targets for the treatment of DMD.
The conservation of the dystrophin gene across metazoans suggests that both vertebrate and invertebrate model systems can provide valuable contributions to the understanding of DMD initiation and progression. Specifically, the invertebrate C. elegans possesses a dystrophin protein ortholog, dys-1, and a mild inflammatory response that is inactive in the muscle, allowing for the characterization of transcriptome rearrangements affecting disease progression independently of inflammation. Furthermore, C. elegans do not possess a satellite cell equivalent, meaning muscle regeneration does not occur. This makes C. elegans unique in that they allow for the study of dystrophin deficiencies without muscle regeneration that may obscure detection of subtle but consequential changes in gene expression.
I hypothesize that gaining a comprehensive definition of both the structural and signaling roles of dystrophin in C. elegans will improve the community’s understanding of the progression of DMD as a whole. To address this hypothesis, I have performed a phylogenetic analysis on the conservation of each member of the dystrophin associated protein complex (DAPC) across 10 species, established an in vivo system to identify muscle-specific changes in gene expression in the dystrophin-deficient C. elegans, and performed a functional analysis to test the biological significance of changes in gene expression identified in my sequencing results. The results from this study indicate that in C. elegans, dystrophin may have a signaling role early in development, and its absence may activate compensatory mechanisms that counteract disease progression. Furthermore, these findings allow for the identification of transcriptome changes that potentially serve as both independent drivers of disease and potential therapeutic targets for the treatment of DMD.
ContributorsHrach, Heather (Author) / Mangone, Marco (Thesis advisor) / LaBaer, Joshua (Committee member) / Newbern, Jason (Committee member) / Rawls, Jeffery (Committee member) / Arizona State University (Publisher)
Created2020
Description
Alzheimer’s disease (AD) is the world’s leading cause of dementia and is the sixthleading cause of death in the United States. While AD has been studied for over a century, little progress has been made in terms of treating or preventing disease progression; therefore, new therapeutic drug targets must be identified. Current clinical trials focus on inhibiting Beta- Secretase 1 (BACE1), the major enzyme involved in the formation of the amyloid beta (Abeta) peptide fragments that aggregate to form insoluble plaques in the brains of AD patients. However, many of these clinical trials have been halted due to neurological effects or organ damage with no substantial cognitive improvements. Because the current leading theory of AD is that the buildup of amyloid plaques leads to metabolic changes that result in the intraneuronal accumulation of hyperphosphorylated Microtubule Associated Protein Tau (TAU, encoded by the MAPT gene), which causes cell death resulting in brain atrophy and dementia (known as the Amyloid Cascade Hypothesis), identifying drug targets that modulate Amyloid Precursor Protein (APP) processing – without directly inhibiting BACE1 – may prove to be a viable treatment. In this work, the role of the Adenosine triphosphate Binding Cassette subfamily C member 1 (ABCC1) was studied in the context of AD. Rare mutations in ABCC1 were identified in a familial case of late-onset AD and in a sporadic case of early-onset AD, and previous laboratories have demonstrated that Abeta is a substrate for ABCC1-mediated export. Although the final experiments reveal no significant difference between the mutant and reference alleles, the data demonstrate that overexpression of ABCC1 modulates APP processing, resulting in decreased Abeta formation and increased alpha- secretase cleavage of the APP molecule, likely via transcriptional modulation of genes that are capable of altering APP metabolism. Therefore, pharmacological interventions that increase either ABCC1 expression or activity may be capable of halting, reversing, or preventing disease progression. Many cancer drug development pipelines have been employed to identify compounds that decrease ABCC1 expression or activity, and it is likely that compounds have been identified that have the opposite effect. These drugs should be studied in the context of Alzheimer’s disease.
ContributorsJepsen, Wayne Mathew (Author) / Huentelman, Matthew (Thesis advisor) / Kusumi, Kenro (Thesis advisor) / Jensen, Kendall (Committee member) / Newbern, Jason (Committee member) / Arizona State University (Publisher)
Created2021