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Description
Induced pluripotent stem cells (iPSCs) are an intriguing approach for neurological disease modeling, because neural lineage-specific cell types that retain the donors' complex genetics can be established in vitro. The statistical power of these iPSC-based models, however, is dependent on accurate diagnoses of the somatic cell donors; unfortunately, many neurodegenerative

Induced pluripotent stem cells (iPSCs) are an intriguing approach for neurological disease modeling, because neural lineage-specific cell types that retain the donors' complex genetics can be established in vitro. The statistical power of these iPSC-based models, however, is dependent on accurate diagnoses of the somatic cell donors; unfortunately, many neurodegenerative diseases are commonly misdiagnosed in live human subjects. Postmortem histopathological examination of a donor's brain, combined with premortem clinical criteria, is often the most robust approach to correctly classify an individual as a disease-specific case or unaffected control. We describe the establishment of primary dermal fibroblasts cells lines from 28 autopsy donors. These fibroblasts were used to examine the proliferative effects of establishment protocol, tissue amount, biopsy site, and donor age. As proof-of-principle, iPSCs were generated from fibroblasts from a 75-year-old male, whole body donor, defined as an unaffected neurological control by both clinical and histopathological criteria. To our knowledge, this is the first study describing autopsy donor-derived somatic cells being used for iPSC generation and subsequent neural differentiation. This unique approach also enables us to compare iPSC-derived cell cultures to endogenous tissues from the same donor. We utilized RNA sequencing (RNA-Seq) to evaluate the transcriptional progression of in vitro-differentiated neural cells (over a timecourse of 0, 35, 70, 105 and 140 days), and compared this with donor-identical temporal lobe tissue. We observed in vitro progression towards the reference brain tissue, supported by (i) a significant increasing monotonic correlation between the days of our timecourse and the number of actively transcribed protein-coding genes and long intergenic non-coding RNAs (lincRNAs) (P < 0.05), consistent with the transcriptional complexity of the brain, (ii) an increase in CpG methylation after neural differentiation that resembled the epigenomic signature of the endogenous tissue, and (iii) a significant decreasing monotonic correlation between the days of our timecourse and the percent of in vitro to brain-tissue differences (P < 0.05) for tissue-specific protein-coding genes and all putative lincRNAs. These studies support the utility of autopsy donors' somatic cells for iPSC-based neurological disease models, and provide evidence that in vitro neural differentiation can result in physiologically progression.
ContributorsHjelm, Brooke E (Author) / Craig, David W. (Thesis advisor) / Wilson-Rawls, Norma J. (Thesis advisor) / Huentelman, Matthew J. (Committee member) / Mason, Hugh S. (Committee member) / Kusumi, Kenro (Committee member) / Arizona State University (Publisher)
Created2013
Description
Well-established model systems exist in four out of the seven major classes of vertebrates. These include the mouse, chicken, frog and zebrafish. Noticeably missing from this list is a reptilian model organism for comparative studies between the vertebrates and for studies of biological processes unique to reptiles. To help fill

Well-established model systems exist in four out of the seven major classes of vertebrates. These include the mouse, chicken, frog and zebrafish. Noticeably missing from this list is a reptilian model organism for comparative studies between the vertebrates and for studies of biological processes unique to reptiles. To help fill in this gap the green anole lizard, Anolis carolinensis, is being adapted as a model organism. Despite the recent release of the complete genomic sequence of the A. carolinensis, the lizard lacks some resources to aid researchers in their studies. Particularly, the lack of transcriptomic resources for lizard has made it difficult to identify genes complete with alternative splice forms and untranslated regions (UTRs). As part of this work the genome annotation for A. carolinensis was improved through next generation sequencing and assembly of the transcriptomes from 14 different adult and embryonic tissues. This revised annotation of the lizard will improve comparative studies between vertebrates, as well as studies within A. carolinensis itself, by providing more accurate gene models, which provide the bases for molecular studies. To demonstrate the utility of the improved annotations and reptilian model organism, the developmental process of somitogenesis in the lizard was analyzed and compared with other vertebrates. This study identified several key features both divergent and convergent between the vertebrates, which was not previously known before analysis of a reptilian model organism. The improved genome annotations have also allowed for molecular studies of tail regeneration in the lizard. With the annotation of 3' UTR sequences and next generation sequencing, it is now possible to do expressional studies of miRNA and predict their mRNA target transcripts at genomic scale. Through next generation small RNA sequencing and subsequent analysis, several differentially expressed miRNAs were identified in the regenerating tail, suggesting miRNA may play a key role in regulating this process in lizards. Through miRNA target prediction several key biological pathways were identified as potentially under the regulation of miRNAs during tail regeneration. In total, this work has both helped advance A. carolinensis as model system and displayed the utility of a reptilian model system.
ContributorsEckalbar, Walter L (Author) / Kusumi, Kenro (Thesis advisor) / Huentelman, Matthew (Committee member) / Rawls, Jeffery (Committee member) / Wilson-Rawls, Norma (Committee member) / Arizona State University (Publisher)
Created2012
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Description
Cancer is a disease that occurs in many and perhaps all multicellular organisms. Current research is looking at how different life history characteristics among species could influence cancer rates. Because somatic maintenance is an important component of a species' life history, we hypothesize the same ecological forces shaping the life

Cancer is a disease that occurs in many and perhaps all multicellular organisms. Current research is looking at how different life history characteristics among species could influence cancer rates. Because somatic maintenance is an important component of a species' life history, we hypothesize the same ecological forces shaping the life history of a species should also determine its cancer susceptibility. By looking at varying life histories, potential evolutionary trends could be used to explain differing cancer rates. Life history theory could be an important framework for understanding cancer vulnerabilities with different trade-offs between life history traits and cancer defenses. Birds have diverse life history strategies that could explain differences in cancer suppression. Peto's paradox is the observation that cancer rates do not typically increase with body size and longevity despite an increased number of cell divisions over the animal's lifetime that ought to be carcinogenic. Here we show how Peto’s paradox is negatively correlated for cancer within the clade, Aves. That is, larger, long-lived birds get more cancer than smaller, short-lived birds (p=0.0001; r2= 0.024). Sexual dimorphism in both plumage color and size differ among Aves species. We hypothesized that this could lead to a difference in cancer rates due to the amount of time and energy sexual dimorphism takes away from somatic maintenance. We tested for an association between a variety of life history traits and cancer, including reproductive potential, growth rate, incubation, mating systems, and sexual dimorphism in both color and size. We found male birds get less cancer than female birds (9.8% vs. 11.1%, p=0.0058).
ContributorsDolan, Jordyn Nicole (Author) / Maley, Carlo (Thesis director) / Harris, Valerie (Committee member) / Boddy, Amy (Committee member) / School of Molecular Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
While specific resistance mechanisms to targeted inhibitors in BRAF-mutant cutaneous melanoma have been identified, surprisingly little is known about the rate at which resistance develops under different treatment options. There is increasing evidence that resistance arises from pre-existing clones rather than from de novo mutations, but there remains the need

While specific resistance mechanisms to targeted inhibitors in BRAF-mutant cutaneous melanoma have been identified, surprisingly little is known about the rate at which resistance develops under different treatment options. There is increasing evidence that resistance arises from pre-existing clones rather than from de novo mutations, but there remains the need for a better understanding of how different drugs affect the fitness of clones within a tumor population and promote or delay the emergence of resistance. To this end, we have developed an assay that defines the in vitro rate of adaptation by analyzing the progressive change in sensitivity of a melanoma cell line to different treatments. We performed a proof-of-theory experiment based on the hypothesis that drugs that cause cell death (cytotoxic) impose a higher selection pressure for drug-resistant clones than drugs that cause cell-cycle arrest (cytostatic drugs), thereby resulting in a faster rate of adaptation. We tested this hypothesis by continuously treating the BRAFV600E melanoma cell line A375 with the cytotoxic MEK inhibitor E6201 and the cytostatic MEK inhibitor trametinib, both of which are known to be effective in the setting of constitutive oncogenic signaling driven by the BRAF mutation. While the identification of confounding factors prevented the direct comparison between E6201-treated and trametinib-treated cells, we observed that E6201-treated cells demonstrate decreased drug sensitivity compared to vehicle-treated cells as early as 18 days after treatment begins. We were able to quantify this rate of divergence at 2.6% per passage by measuring the increase over time in average viability difference between drug-treated and vehicle-treated cells within a DDR analysis. We argue that this value correlates to the rate of adaptation. Furthermore, this study includes efforts to establish a barcoded cell line to allow for individual clonal tracking and efforts to identify synergistic and antagonist drug combinations for use in future experiments. Ultimately, we describe here a novel system capable of quantifying adaptation rate in cancer cells undergoing treatment, and we anticipate that this assay will prove helpful in identifying treatment options that circumvent or delay resistance through future hypothesis-driven experiments.
ContributorsDe Luca, Valerie Jean (Author) / Wilson Sayres, Melissa (Thesis director) / Trent, Jeff (Committee member) / Hendricks, William (Committee member) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
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Description
Damage to the central nervous system due to spinal cord or traumatic brain injury, as well as degenerative musculoskeletal disorders such as arthritis, drastically impact the quality of life. Regeneration of complex structures is quite limited in mammals, though other vertebrates possess this ability. Lizards are the most closely related

Damage to the central nervous system due to spinal cord or traumatic brain injury, as well as degenerative musculoskeletal disorders such as arthritis, drastically impact the quality of life. Regeneration of complex structures is quite limited in mammals, though other vertebrates possess this ability. Lizards are the most closely related organism to humans that can regenerate de novo skeletal muscle, hyaline cartilage, spinal cord, vasculature, and skin. Progress in studying the cellular and molecular mechanisms of lizard regeneration has previously been limited by a lack of genomic resources. Building on the release of the genome of the green anole, Anolis carolinensis, we developed a second generation, robust RNA-Seq-based genome annotation, and performed the first transcriptomic analysis of tail regeneration in this species. In order to investigate gene expression in regenerating tissue, we performed whole transcriptome and microRNA transcriptome analysis of regenerating tail tip and base and associated tissues, identifying key genetic targets in the regenerative process. These studies have identified components of a genetic program for regeneration in the lizard that includes both developmental and adult repair mechanisms shared with mammals, indicating value in the translation of these findings to future regenerative therapies.
ContributorsHutchins, Elizabeth (Author) / Kusumi, Kenro (Thesis advisor) / Rawls, Jeffrey A. (Committee member) / Denardo, Dale F. (Committee member) / Huentelman, Matthew J. (Committee member) / Arizona State University (Publisher)
Created2015
Description
Within the primate lineage, skeletal traits that contribute to inter-specific anatomical variation and enable varied niche occupations and forms of locomotion are often described as the result of environmental adaptations. However, skeletal phenotypes are more accurately defined as complex traits, and environmental, genetic, and epigenetic mechanisms, such as DNA methylation

Within the primate lineage, skeletal traits that contribute to inter-specific anatomical variation and enable varied niche occupations and forms of locomotion are often described as the result of environmental adaptations. However, skeletal phenotypes are more accurately defined as complex traits, and environmental, genetic, and epigenetic mechanisms, such as DNA methylation which regulates gene expression, all contribute to these phenotypes. Nevertheless, skeletal complexity in relation to epigenetic variation has not been assessed across the primate order. In order to gain a complete understanding of the evolution of skeletal phenotypes across primates, it is necessary to study skeletal epigenetics in primates. This study attempts to fill this gap by identifying intra- and inter-specific variation in primate skeletal tissue methylation in order to test whether specific features of skeletal form are related to specific variations in methylation. Specifically, methylation arrays and gene-specific methylation sequencing are used to identify DNA methylation patterns in femoral trabecular bone and cartilage of several nonhuman primate species. Samples include baboons (Papio spp.), macaques (Macaca mulatta), vervets (Chlorocebus aethiops), chimpanzees (Pan troglodytes), and marmosets (Callithrix jacchus), and the efficiencies of these methods are validated in each taxon. Within one nonhuman primate species (baboons), intra-specific variations in methylation patterns are identified across a range of comparative levels, including skeletal tissue differences (bone vs. cartilage), age cohort differences (adults vs. juveniles), and skeletal disease state differences (osteoarthritic vs. healthy), and some of the identified patterns are evolutionarily conserved with those known in humans. Additionally, in all nonhuman primate species, intra-specific methylation variation in association with nonpathological femur morphologies is assessed. Lastly, inter-specific changes in methylation are evaluated among all nonhuman primate taxa and used to provide a phylogenetic framework for methylation changes previously identified in the hominin lineage. Overall, findings from this work reveal how skeletal DNA methylation patterns vary within and among primate species and relate to skeletal phenotypes, and together they inform our understanding of epigenetic regulation and complex skeletal trait evolution in primates.
ContributorsHousman, Genevieve (Author) / Stone, Anne (Thesis advisor) / Quillen, Ellen (Committee member) / Kusumi, Kenro (Committee member) / Stojanowski, Christopher (Committee member) / Arizona State University (Publisher)
Created2017
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Description
The modern tetraploid species Gossypium barbadense L. (AD2) traces its origins to an allopolyploidy event between diploid progenitors G. raimondii (DT Genome, Americas) and G. herbaceum (AT Genome, Asia/Africa). In this study, nine fiber-related genes consisting of seven MYB transcription factors, a cellulose synthase homolog, and a tubulin homolog were

The modern tetraploid species Gossypium barbadense L. (AD2) traces its origins to an allopolyploidy event between diploid progenitors G. raimondii (DT Genome, Americas) and G. herbaceum (AT Genome, Asia/Africa). In this study, nine fiber-related genes consisting of seven MYB transcription factors, a cellulose synthase homolog, and a tubulin homolog were resequenced across 54 G. barbadense lines spanning the wild-to-domesticated spectrum. Tests for nucleotide diversity (π), linkage disequilibrium (LD), and Tajima’s D were performed to examine the extent to which evolutionary forces have acted on these nine loci in G. barbadense. Results indicated that the AT-genome loci had significantly higher levels of diversity and lower levels of LD relative to homoelogous loci from the DT-genome. Additionally, all loci showed signatures of a population size expansion after a bottleneck or selective sweep and/or purifying selection. As previously shown for a sister tetraploid taxa (G. hirsutum), gene conversion resulting from a DT-genome allele invasion into the AT-genome likely explains the higher levels of diversity and lower levels of intragenic LD in the AT-genome. Given the relatively very low level of genetic diversity in elite lines, introduction of novel alleles from wild, land race, or obsolete lines into modern Pima cotton breeding programs is needed to expand the narrow gene pool of G. barbadense for continual yield improvements.
ContributorsNadon, Brian Davis (Author) / Gaxiola, Roberto (Thesis director) / Kusumi, Kenro (Committee member) / Dyer, John (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2013-05
Description
Tremendous phenotypic variation exists across people with Turner syndrome (45,X). This variation likely stems from differential dosage of genes on the X chromosome. X-inactivation is the process whereby all X chromosomes in excess of one are silenced. However, about 15% of the genes on the silenced X chromosome escape this

Tremendous phenotypic variation exists across people with Turner syndrome (45,X). This variation likely stems from differential dosage of genes on the X chromosome. X-inactivation is the process whereby all X chromosomes in excess of one are silenced. However, about 15% of the genes on the silenced X chromosome escape this inactivation and are candidates for affecting phenotype in people with Turner syndrome. In this study we take an evolutionary approach to rank candidate genes that may contribute to phenotypic variation among people with Turner Syndrome. We incorporate analysis of patterns of DNA methylation from 46,XX and 45,X individuals, and estimates of variable X-inactivation status across 46,XX individuals, with patterns of gene expression conservation on the X chromosomes across five tissues and ten species. We find that genes that escape XCI are possible candidate genes for Turner syndrome phenotype, indicated by the constant levels of expression in escape genes and inactivated genes. Variation in these genes is expected to affect phenotype when dosage is altered from typical levels.
ContributorsSchaffer, Kara Nina (Author) / Wilson Sayres, Melissa (Thesis director) / Crook, Sharon (Committee member) / Narang, Pooja (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Description
Current studies in Multiple Myeloma suggest that patient tumors and cell lines cluster separately based on gene expression profiles. Hyperdiploid patients are also extremely underrepresented in established human myeloma cell lines (HMCLs). This suggests that the average HMCL model system does not accurately represent the average myeloma patient. To investigate

Current studies in Multiple Myeloma suggest that patient tumors and cell lines cluster separately based on gene expression profiles. Hyperdiploid patients are also extremely underrepresented in established human myeloma cell lines (HMCLs). This suggests that the average HMCL model system does not accurately represent the average myeloma patient. To investigate this question we performed a combined CNA and SNV evolutionary comparison between four myeloma tumors and their established HMCLs (JMW-1, VP-6, KAS-6/1-KAS-6/2 and KP-6). We identified copy number changes shared between the tumors and their cell lines (mean of 74 events - 59%), those unique to patients (mean of 21.25 events - 17%), and those only in the cell lines (mean of 30.75 events \u2014 24%). A relapse sample from the JMW-1 patient showed 58% similarity to the primary diagnostic tumor. These data suggest that, on the level of copy number abnormalities, HMCLs show equal levels of evolutionary divergence as that observed within patients. By exome sequencing, patient tumors were 71% similar to their representative HMCLs, with ~12.5% and ~16.5% of SNVs unique to the tumors and HMCLs respectively. The HMCLs studied appear highly representative of the patient from which they were derived, with most differences associated with an enrichment of sub-populations present in the primary tumor. Additionally, our analysis of the KP-6 aCGH data showed that the patient's hyperdiploid karyotype was maintained in its respective HMCL. This discovery confirms the establishment and validation of a novel and potentially clinically relevant hyperdiploid HMCL that could provide a major advance in our ability to understand the pathogenesis and progression of this prominent patient population.
ContributorsBenard, Brooks Avery (Author) / Keats, Jonathan (Thesis director) / Anderson, Karen (Committee member) / Jelinek, Diane (Committee member) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description

One of the largest problems facing modern medicine is drug resistance. Many classes of drugs can be rendered ineffective if their target is able to acquire beneficial mutations. While this is an excellent showcase of the power of evolution, it necessitates the development of increasingly stronger drugs to combat resistant

One of the largest problems facing modern medicine is drug resistance. Many classes of drugs can be rendered ineffective if their target is able to acquire beneficial mutations. While this is an excellent showcase of the power of evolution, it necessitates the development of increasingly stronger drugs to combat resistant pathogens. Not only is this strategy costly and time consuming, it is also unsustainable. To contend with this problem, many multi-drug treatment strategies are being explored. Previous studies have shown that resistance to some drug combinations is not possible, for example, resistance to a common antifungal drug, fluconazole, seems impossible in the presence of radicicol. We believe that in order to understand the viability of multi-drug strategies in combating drug resistance, we must understand the full spectrum of resistance mutations that an organism can develop, not just the most common ones. It is possible that rare mutations exist that are resistant to both drugs. Knowing the frequency of such mutations is important for making predictions about how problematic they will be when multi-drug strategies are used to treat human disease. This experiment aims to expand on previous research on the evolution of drug resistance in S. cerevisiae by using molecular barcodes to track ~100,000 evolving lineages simultaneously. The barcoded cells were evolved with serial transfers for seven weeks (200 generations) in three concentrations of the antifungal Fluconazole, three concentrations of the Hsp90 inhibitor Radicicol, and in four combinations of Fluconazole and Radicicol. Sequencing data was used to track barcode frequencies over the course of the evolution, allowing us to observe resistant lineages as they rise and quantify differences in resistance evolution across the different conditions. We were able to successfully observe over 100,000 replicates simultaneously, revealing many adaptive lineages in all conditions. Our results also show clear differences across drug concentrations and combinations, with the highest drug concentrations exhibiting distinct behaviors.

ContributorsApodaca, Samuel (Author) / Geiler-Samerotte, Kerry (Thesis director) / Schmidlin, Kara (Committee member) / Huijben, Silvie (Committee member) / School of Life Sciences (Contributor) / School of Molecular Sciences (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05