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Description
miRNAs are short non-coding regulatory RNAs that have an important roles in a wide range of biological processes. Dysfunction of miRNA regulation has also been shown to occur in diseases such as cancer. Despite the widespread influence of miRNAs in these contexts, the vast majority of miRNA targets are poorly characterized. The aim of this research project was to gain a better understating of miRNA targeting by using the model organism C. elegans. In order to do this I adapted a novel high-throughput assay to detect miRNA targets for use with the C. elegans 3`UTRome. As a proof of principle I performed this assay on 96 C. elegans 3`UTRs using high-throughput techniques. The results revealed miRNA interactions with two predicted 3`UTR targets for the miRNA lin-4 and ten unpredicted targets. The results also corroborated previous findings that certain worm miRNAs require special modifications to be expressed in human cells.
ContributorsKotagama, Kasuen Indrajith Bandara (Author) / Mangone, Marco (Thesis director) / Anderson, Karen (Committee member) / Barrett, The Honors College (Contributor) / Department of Chemistry and Biochemistry (Contributor)
Created2013-12
Description
Alternative polyadenylation (APA) is the biological mechanism in which the same gene can have multiple 3'untranslated region (3'UTR) isoforms due to the presence of multiple polyadenylation signal (PAS) elements within the pre mRNAs. Because APA produces mRNA transcripts that have different 3'UTR isoforms, certain transcripts may be subject to post-transcriptional regulation by regulatory non-coding RNAs, such as microRNAs or RNA binding proteins defects of which have been implicated in diseases such as cancer. Despite the increasing level of information, functional understanding of the molecular mechanisms involved in transcription is still poorly understood, nor is it clear why APA is necessary at a cell or tissue-specific level. To address these questions I wanted to develop a set of sensor strain plasmids capable of detecting cleavage and polyadenylation in vivo, inject the complete sensor strain plasmid into C. elegans and prepare stable transgenic lines, and perform proof-of-principle RNAi feeding experiments targeting genes associated with the cleavage and polyadenylation complex machinery. I demonstrated that it was possible to create a plasmid capable of detecting cleavage and polyadenylation in C. elegans; however, issues arose during the RNAi assays indicating the sensor strain plasmid was not sensitive enough to the RNAi to effectively detect in the worms. Once the problems involved with sensitivity and variability in the RNAi effects are resolved, the plasmid would be able to better address questions regarding the functional understanding of molecular mechanisms involved in transcription termination.
ContributorsWilky, Henry Patrick (Author) / Mangone, Marco (Thesis director) / Newbern, Jason (Committee member) / Blazie, Stephen (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2015-05
Description
Five immunocompetent C57BL/6-cBrd/cBrd/Cr (albino C57BL/6) mice were injected with GL261-luc2 cells, a cell line sharing characteristics of human glioblastoma multiforme (GBM). The mice were imaged using magnetic resonance (MR) at five separate time points to characterize growth and development of the tumor. After 25 days, the final tumor volumes of the mice varied from 12 mm3 to 62 mm3, even though mice were inoculated from the same tumor cell line under carefully controlled conditions. We generated hypotheses to explore large variances in final tumor size and tested them with our simple reaction-diffusion model in both a 3-dimensional (3D) finite difference method and a 2-dimensional (2D) level set method. The parameters obtained from a best-fit procedure, designed to yield simulated tumors as close as possible to the observed ones, vary by an order of magnitude between the three mice analyzed in detail. These differences may reflect morphological and biological variability in tumor growth, as well as errors in the mathematical model, perhaps from an oversimplification of the tumor dynamics or nonidentifiability of parameters. Our results generate parameters that match other experimental in vitro and in vivo measurements. Additionally, we calculate wave speed, which matches with other rat and human measurements.
ContributorsRutter, Erica (Author) / Stepien, Tracy (Author) / Anderies, Barrett (Author) / Plasencia, Jonathan (Author) / Woolf, Eric C. (Author) / Scheck, Adrienne C. (Author) / Turner, Gregory H. (Author) / Liu, Qingwei (Author) / Frakes, David (Author) / Kodibagkar, Vikram (Author) / Kuang, Yang (Author) / Preul, Mark C. (Author) / Kostelich, Eric (Author) / College of Liberal Arts and Sciences (Contributor)
Created2017-05-31
Description
Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding of how pathogens emerge, evolve, and spread. Classical epidemiological models, the standard for predicting and managing the spread of infectious disease, assume that contacts between susceptible and infectious individuals depend on their relative frequency in the population. The behavioral factors that underpin contact rates are not generally addressed. There is, however, an emerging a class of models that addresses the feedbacks between infectious disease dynamics and the behavioral decisions driving host contact. Referred to as “economic epidemiology” or “epidemiological economics,” the approach explores the determinants of decisions about the number and type of contacts made by individuals, using insights and methods from economics. We show how the approach has the potential both to improve predictions of the course of infectious disease, and to support development of novel approaches to infectious disease management.
ContributorsPerrings, Charles (Author) / Castillo-Chavez, Carlos (Author) / Chowell-Puente, Gerardo (Author) / Daszak, Peter (Author) / Fenichel, Eli P. (Author) / Finnoff, David (Author) / Horan, Richard D. (Author) / Kilpatrick, A. Marm (Author) / Kinzig, Ann (Author) / Kuminoff, Nicolai (Author) / Levin, Simon (Author) / Morin, Benjamin (Author) / Smith, Katherine F. (Author) / Springborn, Michael (Author) / Simon M. Levin Mathematical, Computational and Modeling Sciences Center (Contributor) / College of Liberal Arts and Sciences (Contributor) / School of Life Sciences (Contributor) / School of Human Evolution and Social Change (Contributor) / W.P. Carey School of Business (Contributor) / Economics (Contributor) / Julie Ann Wrigley Global Institute of Sustainability (Contributor)
Created2015-12-01
Description
Background
Seroepidemiological studies before and after the epidemic wave of H1N1-2009 are useful for estimating population attack rates with a potential to validate early estimates of the reproduction number, R, in modeling studies.
Methodology/Principal Findings
Since the final epidemic size, the proportion of individuals in a population who become infected during an epidemic, is not the result of a binomial sampling process because infection events are not independent of each other, we propose the use of an asymptotic distribution of the final size to compute approximate 95% confidence intervals of the observed final size. This allows the comparison of the observed final sizes against predictions based on the modeling study (R = 1.15, 1.40 and 1.90), which also yields simple formulae for determining sample sizes for future seroepidemiological studies. We examine a total of eleven published seroepidemiological studies of H1N1-2009 that took place after observing the peak incidence in a number of countries. Observed seropositive proportions in six studies appear to be smaller than that predicted from R = 1.40; four of the six studies sampled serum less than one month after the reported peak incidence. The comparison of the observed final sizes against R = 1.15 and 1.90 reveals that all eleven studies appear not to be significantly deviating from the prediction with R = 1.15, but final sizes in nine studies indicate overestimation if the value R = 1.90 is used.
Conclusions
Sample sizes of published seroepidemiological studies were too small to assess the validity of model predictions except when R = 1.90 was used. We recommend the use of the proposed approach in determining the sample size of post-epidemic seroepidemiological studies, calculating the 95% confidence interval of observed final size, and conducting relevant hypothesis testing instead of the use of methods that rely on a binomial proportion.
Seroepidemiological studies before and after the epidemic wave of H1N1-2009 are useful for estimating population attack rates with a potential to validate early estimates of the reproduction number, R, in modeling studies.
Methodology/Principal Findings
Since the final epidemic size, the proportion of individuals in a population who become infected during an epidemic, is not the result of a binomial sampling process because infection events are not independent of each other, we propose the use of an asymptotic distribution of the final size to compute approximate 95% confidence intervals of the observed final size. This allows the comparison of the observed final sizes against predictions based on the modeling study (R = 1.15, 1.40 and 1.90), which also yields simple formulae for determining sample sizes for future seroepidemiological studies. We examine a total of eleven published seroepidemiological studies of H1N1-2009 that took place after observing the peak incidence in a number of countries. Observed seropositive proportions in six studies appear to be smaller than that predicted from R = 1.40; four of the six studies sampled serum less than one month after the reported peak incidence. The comparison of the observed final sizes against R = 1.15 and 1.90 reveals that all eleven studies appear not to be significantly deviating from the prediction with R = 1.15, but final sizes in nine studies indicate overestimation if the value R = 1.90 is used.
Conclusions
Sample sizes of published seroepidemiological studies were too small to assess the validity of model predictions except when R = 1.90 was used. We recommend the use of the proposed approach in determining the sample size of post-epidemic seroepidemiological studies, calculating the 95% confidence interval of observed final size, and conducting relevant hypothesis testing instead of the use of methods that rely on a binomial proportion.
ContributorsNishiura, Hiroshi (Author) / Chowell-Puente, Gerardo (Author) / Castillo-Chavez, Carlos (Author) / Simon M. Levin Mathematical, Computational and Modeling Sciences Center (Contributor) / College of Liberal Arts and Sciences (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2011-03-24
Description
In eukaryotes, most messenger RNA precursors (pre-mRNA) undergo extensive processing, leading to the cleavage of the transcript followed by the addition of a poly(A) tail. This process is executed by a large complex known as the Cleavage and Polyadenylation Complex (CPC). Its central subcomplex, the Cleavage and Polyadenylation Specificity Factor (CPSF) complex is responsible for recognizing a short hexameric element AAUAAA located at the 3’end in the nascent mRNA molecule and catalyzing the pre-mRNA cleavage. In the round nematode C. elegans, the cleavage reaction is executed by a subunit of this complex named CPSF3, a highly conserved RNA endonuclease. While the crystal structure of its human ortholog CPSF73 has been recently identified, we still do not understand the molecular mechanisms and sequence specificity used by this protein to induce cleavage, which in turn would help to understand how this process is executed in detail. Additionally, we do not understand in additional factors are needed for this process. In order to address these issues, we performed a comparative analysis of the CPSF3 protein in higher eukaryotes to identify conserved functional domains. The overall percent identities for members of the CPSF complex range from 33.68% to 56.49%, suggesting that the human and C. elegans orthologs retain a high level of conservation. CPSF73 is the protein with the overall highest percent identity of the CPSF complex, with its active site-containing domain possessing 74.60% identity with CPSF3. Additionally, we gathered and expressed using a bacterial expression system CPSF3 and a mutant, which is unable to perform the cleavage reaction, and developed an in vitro cleavage assay to test whether CPSF3 activity is necessary and sufficient to induce nascent mRNA cleavage. This project establishes tools to better understand how CPSF3 functions within the CPC and sheds light on the biology surrounding the transcription process as a whole.
ContributorsGallante, Christina (Author) / Mangone, Marco (Thesis director) / Sharma, Shalini (Committee member) / Hrach, Heather (Committee member) / School of Life Sciences (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The successful reduction of CO2 and protons by a light-induced cobalt porphyrin/cytb562 hybrid metalloenzyme in water is reported. Incorporation of the porphyrin into a protein scaffold results in increases in CO and H2 production over naked porphyrin. Rational point mutations to the CoPPIX binding site of cytb562 modulate production, indicating possible further improvements in catalytic activity.
ContributorsGwerder, Noah D (Author) / Ghirlanda, Giovanna (Thesis director) / Williams, Peter (Committee member) / Mangone, Marco (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Duchenne muscular dystrophy (DMD) is a lethal, X-linked disease which occurs in approximately 1 in 3,500 male births. This disease is characterized by progressive muscle wasting and causes premature death. One of the earliest symptoms of this disease is mitochondrial dysfunction. Dystrophin is a protein found under the sarcolemma. The N terminus binds to actin and the C terminus binds to dystrophin glycoprotein complex (DGC). DMD is caused by mutations in the dystrophin gene. C. elegans possess an ortholog of dystrophin, DYS-1. Though there is evidence that C. elegans can be used as a model organism to model DMD, nematode DGC has not been well characterized. Additionally, while we know that mitochondrial dysfunction has been found in humans and other model organisms, this has not been well defined in C. elegans. In order to address these issues, we crossed the SJ4103 worm strain (myo-3p::GFP(mit)) with dys-1(cx18) in order to visualize and quantify changes in mitochondria in a dys-1 background. SJ4103;cx18 nematodes were found to have less mitochondrial than SJ4103 which suggests mitochondrial dysfunction does occur in dys-1 worms. Furthermore, mitochondrial dysfunction was studied by knocking down members of the DGC, dys-1, dyb-1, sgn-1, sgca-1, and sgcb-1 in SJ4103 strain. Knock down of each gene resulted in decrease in abundance of mitochondria which suggests that each member of the DGC contributes to the overall health of nematode muscle. The ORF of dyb-1 was successfully cloned and tagged with GFP in order to visualize this DGC member C. elegans. Imaging of the transgenic dyb-1::GFP worm shows green fluoresce expressed in which suggests that dyb-1 is a functional component of the muscle fibers. This project will enable us to better understand the effects of dystrophin deficiency on mitochondrial function as well as visualize the expression of certain members of the DGC in order to establish C. elegans as a good model organism to study this disease.
ContributorsObrien, Shannon Nishino (Author) / Mangone, Marco (Thesis director) / Newbern, Jason (Committee member) / Hrach, Heather (Committee member) / School of Molecular Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Cleavage and polyadenylation is a step in mRNA processing in which the 3’UTR is cleaved and a polyA tail is added to create a final mature transcript. This process relies on RNA sequence elements that guide a large multimeric protein complex named the Cleavage and Polyadenylation Complex to dock on the 3’UTR and execute the cleavage reaction. Interactions of the complex with the RNA and specific dynamics of complex recruitment and formation still remain largely uncharacterized. In our lab we have identified an Adenosine residue as the nucleotide most often present at the cleavage site, although it is unclear whether this specific element is a required instructor of cleavage and polyadenylation. To address whether the Adenosine residue is necessary and sufficient for the cleavage and polyadenylation reaction, we mutated this nucleotide at the cleavage site in three C. elegans protein coding genes, forcing the expression of these wt and mutant 3’UTRs, and studied how the cleavage and polyadenylation machinery process these genes in vivo. We found that interrupting the wt sequence elements found at the cleavage site interferes with the cleavage and polyadenylation reaction, suggesting that the sequence close to the end of the transcript plays a role in modulating the site of the RNA cleavage. This activity is also gene-specific. Genes such as ges-1 showed little disruption in the cleavage of the transcript, with similar location occurring in both the wt and mutant 3’UTRs. On the other hand, mutation of the cleavage site in genes such as Y106G6H.9 caused the activation of new cryptic cleavage sites within the transcript. Taken together, my experiments suggest that the sequence elements at the cleavage site somehow participate in the reaction to guide the cleavage reaction to occur at an exact site. This work will help to better understand the mechanisms of transcription termination in vivo and will push forward research aimed to study post-transcriptional gene regulation in eukaryotes.
ContributorsSteber, Hannah Suzanne (Author) / Mangone, Marco (Thesis director) / Harris, Robin (Committee member) / LaBaer, Joshua (Committee member) / School of Life Sciences (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Nucleic acid polymers have numerous applications in both therapeutics and research to control gene expression and bind biologically relevant targets. However, due to poor biological stability their clinical applications are limited. Chemical modifications can improve both intracellular and extracellular stability and enhance resistance to nuclease degradation. To identify a potential candidate for a highly stable synthetic nucleic acid, the biostability of α-L-threofuranosyl nucleic acid (TNA) was evaluated under simulated biological conditions. TNA contains a four-carbon sugar and is linked by 2’, 3’ phosphodiester bonds. We hypothesized that this distinct chemical structure would yield greater nuclease resistance in human serum and human liver microsomes, which were selected as biologically relevant nuclease conditions. We found that TNA oligonucleotides remained undigested for 7 days in these conditions. In addition, TNA/DNA heteropolymers and TNA/RNA oligonucleotide duplexes displayed nuclease resistance, suggesting that TNA has a protective effect over DNA and RNA. In conclusion TNA demonstrates potential as a viable synthetic nucleic acid for use in numerous clinical and therapeutic applications.
ContributorsCulbertson, Michelle Catherine (Author) / Maley, Carlo (Thesis director) / Mangone, Marco (Committee member) / Larsen, Andrew (Committee member) / School of Molecular Sciences (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12