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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
- Status: Published
Description
Glioblastoma multiforme (GBM) is an aggressive malignant brain tumor with a median prognosis of 14 months. Human hairless protein (HR) is a 130 kDa nuclear transcription factor that plays a critical role in skin and hair function but was found to be highly expressed in neural tissue as well. The expression of HR in GBM tumor cells is significantly decreased compared to the normal brain tissue and low levels of HR expression is associated with shortened patient survival. We have recently reported that HR is a DNA binding phosphoprotein, which binds to p53 protein and p53 responsive element (p53RE) in vitro and in intact cells. We hypothesized that HR can regulate p53 downstream target genes, and consequently affects cellular function and activity. To test the hypothesis, we overexpressed HR in normal human embryonic kidney HEK293 and GBM U87MG cell lines and characterized these cells by analyzing p53 target gene expression, viability, cell-cycle arrest, and apoptosis. The results revealed that the overexpressed HR not only regulates p53-mediated target gene expression, but also significantly inhibit cell viability, induced early apoptosis, and G2/M cell cycle arrest in U87MG cells, compared to mock groups. Translating the knowledge gained from this research on the connections between HR and GBM could aid in identifying novel therapies to circumvent GBM progression or improve clinical outcome.
ContributorsBrook, Lemlem Addis (Author) / Blattman, Joseph (Thesis director) / Hsieh, Jui-Cheng (Committee member) / Goldstein, Elliott (Committee member) / Harrington Bioengineering Program (Contributor) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
There exists a notable gender gap in the field of economics. One explanation for this gap is the low supply of women entering the economics labor market. To understand the shortage of female economics students, I observe students at the undergraduate and graduate level. My data consists of a sample of current undergraduate students and a sample of past Ph.D. applicants at Arizona State University. The gender gaps in these samples, both at the undergraduate and graduate level, can largely be explained by the variation in mathematical preparation of the students. The data reveals that undergraduate male economics students are more frequently enrolled in higher level math courses compared to female undergraduate students. Likewise, a higher number of male Ph.D. applicants have stronger mathematical backgrounds relative to female Ph.D. applicants. This common factor might explain the higher supply of male students who apply and get accepted to postgraduate studies in economics, relative to female students, holding all else constant. I conclude with the following recommended interventions: make information regarding postgraduate opportunities in economics more readily available, and increase math requirements for a bachelor’s degree in economics at ASU.
ContributorsZafari, Zorah (Author) / Datta, Manjira (Thesis director) / Zafar, Basit (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Social Transformation (Contributor, Contributor) / Department of Economics (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05