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- All Subjects: Cancer
- All Subjects: Frequency Selective Surfaces
- Creators: Boddy, Amy
Illustrated in Chapter 1 is the general history of research on the interaction of DNA and anticancer drugs, most importantly different congener of bleomycin (BLM). Additionally, several synthetic analogues of bleomycin, including the structural components and functionalities, are discussed.
Chapter 2 describes a new approach to study the double-strand DNA lesion caused by antitumor drug bleomycin. The hairpin DNA library used in this study displays numerous cleavage sites demonstrating the versatility of bleomycin interaction with DNA. Interestingly, some of those cleavage sites suggest a novel mechanism of bleomycin interaction, which has not been reported before.
Cytidine methylation has generally been found to decrease site-specific cleavage of DNA by BLM, possibly due to structural change and subsequent reduced bleomycin-mediated recognition of DNA. As illustrated in Chapter 3, three hairpin DNAs known to be strongly bound by bleomycin, and their methylated counterparts, were used to study the dynamics of bleomycin-induced degradation of DNAs in cancer cells. Interestingly, cytidine methylation on one of the DNAs has also shown a major shift in the intensity of bleomycin induced double-strand DNA cleavage pattern, which is known to be a more potent form of bleomycin induced cleavages.
DNA secondary structures are known to play important roles in gene regulation. Chapter 4 demonstrates a structural change of the BCL2 promoter element as a result of its dynamic interaction with the individual domains of hnRNP LL, which is essential to facilitate the transcription of BCL2. Furthermore, an in vitro protein synthesis technique has been employed to study the dynamic interaction between protein domains and the i-motif DNA within the promoter element. Several constructs were made involving replacement of a single amino acid with a fluorescent analogue, and these were used to study FRET between domain 1 and the i-motif, the later of which harbored a fluorescent acceptor nucleotide analogue.
The honors thesis presented in this document describes an extension to an electrical engineering capstone project whose scope is to develop the receiver electronics for an RF interrogator. The RF interrogator functions by detecting the change in resonant frequency of (i.e, frequency of maximum backscatter from) a target resulting from an environmental input. The general idea of this honors project was to design three frequency selective surfaces that would act as surrogate backscattering or reflecting targets that each contains a distinct frequency response. Using 3-D electromagnetic simulation software, three surrogate targets exhibiting bandpass frequency responses at distinct frequencies were designed and presented in this thesis.
Cancer rates vary between people, between cultures, and between tissue types, driven by clinically relevant distinctions in the risk factors that lead to different cancer types. Despite the importance of cancer location in human health, little is known about tissue-specific cancers in non-human animals. We can gain significant insight into how evolutionary history has shaped mechanisms of cancer suppression by examining how life history traits impact cancer susceptibility across species. Here, we perform multi-level analysis to test how species-level life history strategies are associated with differences in neoplasia prevalence, and apply this to mammary neoplasia within mammals. We propose that the same patterns of cancer prevalence that have been reported across species will be maintained at the tissue-specific level. We used a combination of factor analysis and phylogenetic regression on 13 life history traits across 90 mammalian species to determine the correlation between a life history trait and how it relates to mammary neoplasia prevalence. The factor analysis presented ways to calculate quantifiable underlying factors that contribute to covariance of entangled life history variables. A greater risk of mammary neoplasia was found to be correlated most significantly with shorter gestation length. With this analysis, a framework is provided for how different life history modalities can influence cancer vulnerability. Additionally, statistical methods developed for this project present a framework for future comparative oncology studies and have the potential for many diverse applications.
Age is the most significant risk factor for cancer development in humans. The somatic mutation theory postulates that the accumulation of genomic mutations over time results in cellular function degradation which plays an important role in understanding aging and cancer development. Specifically, degradation of the mechanisms that underlie somatic maintenance can occur due to decreased immune cell function and genomic responses to DNA damage. Research has shown that this degradation can lead to the accumulation of mutations that can cause cancer in humans. Despite recent advances in our understanding of cancer in non-human species, how this risk factor translates across species is poorly characterized. Here, we analyze a veterinarian cancer dataset of 4,178 animals to investigate if age related cancer prevalence is similar in non-human animals. We intend for this work to be used as a primary step towards understanding the potential overlap and/or uniqueness between human and non-human cancer risk factors. This study can be used to better understand cancer development and how evolutionary processes have shaped somatic maintenance across species.
Cancers of the reproductive tissues make up a significant portion of the cancer burden and mortality experienced by humans. Humans experience several proximal causative carcinogens that explain a portion of cancer risk, but an evolutionary viewpoint can provide a unique lens into the ultimate causes of reproductive cancer vulnerabilities. A life history framework allows us to make predictions on cancer prevalence based on a species’ tempo of reproduction. Moreover, certain variations in the susceptibility and prevalence of cancer may emerge due to evolutionary trade-offs between reproduction and somatic maintenance. For example, such trade-offs could involve the demand for rapid proliferation of cells in reproductive tissues that arises with reproductive events. In this study, I compiled reproductive cancer prevalence for 158 mammalian species and modeled the predictive power of 13 life history traits on the patterns of cancer prevalence we observed, such as Peto’s Paradox or slow-fast life history strategies. We predicted that fast-life history strategists will exhibit higher neoplasia prevalence risk due to reproductive trade-offs. Furthering this analytical framework can aid in predicting cancer rates and stratifying cancer risk across the tree of life.