Matching Items (103)
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Description
Breast cancer is the leading cause of cancer-related deaths of women in the united states. Traditionally, Breast cancer is predominantly treated by a combination of surgery, chemotherapy, and radiation therapy. However, due to the significant negative side effects associated with these traditional treatments, there has been substantial efforts to develo

Breast cancer is the leading cause of cancer-related deaths of women in the united states. Traditionally, Breast cancer is predominantly treated by a combination of surgery, chemotherapy, and radiation therapy. However, due to the significant negative side effects associated with these traditional treatments, there has been substantial efforts to develop alternative therapies to treat cancer. One such alternative therapy is a peptide-based therapeutic cancer vaccine. Therapeutic cancer vaccines enhance an individual's immune response to a specific tumor. They are capable of doing this through artificial activation of tumor specific CTLs (Cytotoxic T Lymphocytes). However, in order to artificially activate tumor specific CTLs, a patient must be treated with immunogenic epitopes derived from their specific cancer type. We have identified that the tumor associated antigen, TPD52, is an ideal target for a therapeutic cancer vaccine. This designation was due to the overexpression of TPD52 in a variety of different cancer types. In order to start the development of a therapeutic cancer vaccine for TPD52-related cancers, we have devised a two-step strategy. First, we plan to create a list of potential TPD52 epitopes by using epitope binding and processing prediction tools. Second, we plan to attempt to experimentally identify MHC class I TPD52 epitopes in vitro. We identified 942 potential 9 and 10 amino acid epitopes for the HLAs A1, A2, A3, A11, A24, B07, B27, B35, B44. These epitopes were predicted by using a combination of 3 binding prediction tools and 2 processing prediction tools. From these 942 potential epitopes, we selected the top 50 epitopes ranked by a combination of binding and processing scores. Due to the promiscuity of some predicted epitopes for multiple HLAs, we ordered 38 synthetic epitopes from the list of the top 50 epitope. We also performed a frequency analysis of the TPD52 protein sequence and identified 3 high volume regions of high epitope production. After the epitope predictions were completed, we proceeded to attempt to experimentally detected presented TPD52 epitopes. First, we successful transduced parental K562 cells with TPD52. After transduction, we started the optimization process for the immunoprecipitation protocol. The optimization of the immunoprecipitation protocol proved to be more difficult than originally believed and was the main reason that we were unable to progress past the transduction of the parental cells. However, we believe that we have identified the issues and will be able to complete the experiment in the coming months.
ContributorsWilson, Eric Andrew (Author) / Anderson, Karen (Thesis director) / Borges, Chad (Committee member) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description

Background:
Environmental heat exposure is a public health concern. The impacts of environmental heat on mortality and morbidity at the population scale are well documented, but little is known about specific exposures that individuals experience.

Objectives:
The first objective of this work was to catalyze discussion of the role of personal heat exposure

Background:
Environmental heat exposure is a public health concern. The impacts of environmental heat on mortality and morbidity at the population scale are well documented, but little is known about specific exposures that individuals experience.

Objectives:
The first objective of this work was to catalyze discussion of the role of personal heat exposure information in research and risk assessment. The second objective was to provide guidance regarding the operationalization of personal heat exposure research methods.

Discussion:
We define personal heat exposure as realized contact between a person and an indoor or outdoor environment that poses a risk of increases in body core temperature and/or perceived discomfort. Personal heat exposure can be measured directly with wearable monitors or estimated indirectly through the combination of time–activity and meteorological data sets. Complementary information to understand individual-scale drivers of behavior, susceptibility, and health and comfort outcomes can be collected from additional monitors, surveys, interviews, ethnographic approaches, and additional social and health data sets. Personal exposure research can help reveal the extent of exposure misclassification that occurs when individual exposure to heat is estimated using ambient temperature measured at fixed sites and can provide insights for epidemiological risk assessment concerning extreme heat.

Conclusions:
Personal heat exposure research provides more valid and precise insights into how often people encounter heat conditions and when, where, to whom, and why these encounters occur. Published literature on personal heat exposure is limited to date, but existing studies point to opportunities to inform public health practice regarding extreme heat, particularly where fine-scale precision is needed to reduce health consequences of heat exposure.

ContributorsKuras, Evan R. (Author) / Richardson, Molly B. (Author) / Calkins, Mirian M. (Author) / Ebi, Kristie L. (Author) / Gohlke, Julia M. (Author) / Hess, Jeremy J. (Author) / Hondula, David M. (Author) / Kintziger, Kristina W. (Author) / Jagger, Meredith A. (Author) / Middel, Ariane (Author) / Scott, Anna A. (Author) / Spector, June T. (Contributor) / Uejio, Christopher K. (Author) / Vanos, Jennifer K. (Author) / Zaitchik, Benjamin F. (Author)
Created2017-08
Description
Urban centers worldwide face the escalating challenge of urban heat islands (UHIs), which exacerbate public health issues and energy consumption due to increased temperatures. This thesis focuses on the Phoenix metropolitan area, recognized for its high summer temperatures, to explore innovative computational strategies for mitigating urban heat through optimized tree

Urban centers worldwide face the escalating challenge of urban heat islands (UHIs), which exacerbate public health issues and energy consumption due to increased temperatures. This thesis focuses on the Phoenix metropolitan area, recognized for its high summer temperatures, to explore innovative computational strategies for mitigating urban heat through optimized tree placement. The research integrates high-fidelity microclimate modeling with advanced computational techniques to strategically position trees and enhance urban climate resilience. Utilizing the SOLWEIG and TreePlanter models, this study simulates the effects of tree planting on mean radiant temperature (MRT), crucial for thermal comfort in outdoor spaces. The models process geospatial data, including LiDAR and high-resolution thermal maps, to produce actionable insights for reducing urban temperatures. Results indicate that strategic tree planting significantly lowers MRT, enhancing urban livability and sustainability. This thesis contributes to urban planning by demonstrating how targeted greening interventions can alleviate the heat burden in cities, providing a replicable framework for other urban areas experiencing similar challenges.
ContributorsGarg, Shrey (Author) / Middel, Ariane (Thesis director) / Buo, Isaac (Committee member) / Barrett, The Honors College (Contributor)
Created2024-05