Barrett, The Honors College Thesis/Creative Project Collection

Claiming Impossible Bodies is a collection of poetry and collage exploring gender and sexuality through the lens of the vampire. For this project, I researched various representations of the vampires through folklore, classical and modern literature, film, and pop culture. The liminality of the vampire allows such figures to take different forms and identities, ranging from dark and grotesque creatures, such as the succubus or incubus from mythology, to modern sex-icons, like Edward Cullen from the Twilight Saga. Considering this wide range of performances by vampiric figures throughout history, the poems in this manuscript seek to deconstruct the binaries that vampires live between and expose the liminality in social norms that attempt to define our identities and shape our performances.

This paper explores the well-known Atkins Diet, as it also places a strong regulation on macromolecule consumption, specifically carbohydrates, in order to assist with the weight loss process. A review of available literature will be used to investigate: the history of the diet, necessity of macromolecule consumption, the impact this has on the individual biochemical pathways (glycolysis/gluconeogenesis) and the microbiome as a whole, as well as overall success rates and long-term health complications/benefits. Additionally personal statements from various individuals who have experience with the diet, myself included, will be incorporated into a holistic analysis of the effectiveness and longevity of the Atkins weight-loss strategy.

This collection entitled “Poems on Home, Family, and the Self” is about the author’s role as a daughter to immigrant parents, who is finding her drive, and understanding where she comes from and how she will use that to find her purpose. The poems in this collection touch upon the author’s upbringing in Northern California, her transitioning relationship with her parents and her brother, as well as her experiences relative to her growth in Arizona. These pieces are greatly inspired by author Arundhati Roy and poet Li-Young Li. Specifically, the author is influenced by Li-Young Li’s approach to poetry – his commentary and storytelling of his life and his parents are objective, observatory, and allow the readers to make opinions for themselves. In this collection, the author aims to make statements about her family and upbringing and show the readers her new understanding of life and her ambitions.

Lyme disease is a common tick-borne illness caused by the Gram-negative bacterium Borrelia burgdorferi. An outer membrane protein of Borrelia burgdorferi, P66, has been suggested as a possible target for Lyme disease treatments. However, a lack of structural information available for P66 has hindered attempts to design medications to target the protein. Therefore, this study attempted to find methods for expressing and purifying P66 in quantities that can be used for structural studies. It was found that by using the PelB signal sequence, His-tagged P66 could be directed to the outer membrane of Escherichia coli, as confirmed by an anti-His Western blot. Further attempts to optimize P66 expression in the outer membrane were made, pending verification via Western blotting. The ability to direct P66 to the outer membrane using the PelB signal sequence is a promising first step in determining the overall structure of P66, but further work is needed before P66 is ready for large-scale purification for structural studies.

The field of biomedical research relies on the knowledge of binding interactions between various proteins of interest to create novel molecular targets for therapeutic purposes. While many of these interactions remain a mystery, knowledge of these properties and interactions could have significant medical applications in terms of understanding cell signaling and immunological defenses. Furthermore, there is evidence that machine learning and peptide microarrays can be used to make reliable predictions of where proteins could interact with each other without the definitive knowledge of the interactions. In this case, a neural network was used to predict the unknown binding interactions of TNFR2 onto LT-ɑ and TRAF2, and PD-L1 onto CD80, based off of the binding data from a sampling of protein-peptide interactions on a microarray. The accuracy and reliability of these predictions would rely on future research to confirm the interactions of these proteins, but the knowledge from these methods and predictions could have a future impact with regards to rational and structure-based drug design.