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Life Sciences

Bat Diversity and Habitat Preference in Southern Utah

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Author(s): Ammon Miles, Anthony Kemp, Connor Baty

Measuring the Efficacy of Various Test Anxiety Reducing Methods

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Author(s): Amber Best, Makenzie Porter, Kenna Olaya, Rachel Chapman

Cannabis and the Mind: A Review of the Bidirectional Relations with Depression and Anxiety

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Author(s): Michael Coover, Ives Hong, Mattison Hillin, Hallee Hassell, Andrew Shepard

Brassicaceae of the Utah Valley

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Author(s): Gideon Bowes

Implicit Bias in Early Healthcare Education

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Author(s): Claire Parker, David Jensen

L-DOPA, naloxone, and DOI decrease nicotine preference in C. elegans

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Author(s): Emily Mellon, Violet Czech, Kirsten Sumampong, Hailey Kim

Analyzing the estrus cycle in POMC-deficient mice

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Author(s): Mariah McDonald, Kaden Smith

Age-Dependent Molecular Effects of Cyclin-Dependent Kinase Inhibitors on β-cell Proliferation

December 30, 0020 12:00 AM
Jensen, Daelin; Aitken, Talon; Baxter, Melanie (Brigham Young University)
Faculty Advisor: Tessem, Jeffery (Brigham Young University; Nutrition, Dietetics, and Food Science)

As of 2017, over 400 million people were diagnosed with diabetes mellitus. This is becoming a worldwide concern as the number of people affected by diabetes is growing at an alarming rate. Functional pancreatic β-cell mass is responsible for maintaining healthy blood glucose levels through the production of insulin. A hallmark of both type 1 and type 2 diabetes is a relative or absolute loss of functional β-cell mass and, consequently, decreased insulin production. Two possible approaches for replenishing the β-cells are: 1) replacement through cadaveric donors and 2) regeneration of endogenous β-cells. A major impediment to these approaches is that aged β-cells are refractory to genes that are known to induce proliferation in young β-cells. It is currently unknown why aged β-cells are refractory. . We hypothesized that age-dependent changes to the proliferative capacity of β-cells are influenced by increasing levels of cyclin-dependent kinase inhibitors (CDKI). CDKI's bind to cyclin-dependent kinases, effectively halting the cell cycle and proliferation. Here, we demonstrate the expression of the Ink4 and Cip/Kip families of CDKI's by mRNA and protein expression in five week old and five month old Wistar rat β-cells. Greater understanding of the proliferative mechanisms of the β-cell will allow greater application of the aforementioned treatments.

Akt and Inflammatory Pathways Activation by Cache Valley Particulate Air Pollution

December 30, 0020 12:00 AM
Sagers, Rachel; Nguyen, Andy; Weston, Jake; Grooms, Nicholas; Eggleston, Morgan; Martin, Randy; Coulombe, Roger (Utah State University)
Faculty Advisor: Coulombe, Roger (College of Agriculture and Applied Sciences; Animal, Dairy, and Veterinary Sciences Department)

The scenic mountain views of Cache Valley in Northern Utah stand in stark contrast with the valley's high concentrations of fine particulate air pollution (PM2.5), some of the worst reported in the United States. The unique geography promotes formation of ammonium nitrate (NH4NO3) from nitrogen oxides produced by motor vehicles and ammonia from dairy cow excreta. Winter atmospheric inversions, exacerbated by the mountainous terrain, trap and concentrate air pollutants. Epidemiological studies have revealed an association between PM exposure and early all-cause mortality. Exposure to PM2.5 is also associated with a variety of cardiovascular, cardiopulmonary, and neurodegenerative diseases, including myocardial infarction, stroke, COPD, lung cancer, Alzheimer's disease, and Parkinson's disease. Previous studies have shown that Cache Valley PM (CVPM) has pro-inflammatory effects, which has been linked to enhanced activation of Akt in human pulmonary epithelial cells. This research examined the cellular responses of human lung (BEAS-2B) cells exposed to CVPM and diesel exhaust particles (DEP), at 1 and 12 µg/ml concentrations of each particle type for a 24 hour exposure period. The CVPM used was collected onto stainless steel plates by a Tisch impactor. Assessment by the comet assay reveal genetic damage to CVPM exposed cells with equal potency to DEP exposed cells. Flow cytometry (p < 0.05) showed CVPM exposed cells had a significant increase in the number of actively-dividing cells compared to control cells. Whole-genome microarray identified affected genes related to inflammatory pathways, as well as activated Akt-dependent pathways. Subsequent qRT-PCR showed that CVPM exposure significantly increased expression of inflammatory markers, including IL-6, CD40LG, PLAG27, and cytochrome P450 (CYP) 1A1 (p < 0.05). Immunoblotting confirmed activation of Akt by phosphorylation of Thr308 in both CVPM and DEP exposed cells. This data supports the hypothesis that CVPM may induce pro-carcinogenic pathways with potency similar to DEP.

A Proposal to Investigate Protein Expression of Rhizopus oryzae Biofilms Upon Treatment with Extracorporeal Shockwaves and Amphotericin B

December 30, 0020 12:00 AM
Nanasi Sekona, Ashley Balderrama, Carlos Nunez, Kyle Hendricks, Tyson Hillock, and Dr. Olga Kopp (Utah Valley University)
Faculty Advisor: Kopp, Olga (Utah Valley University, Biology)

Over the last 30 years, the incidence of fungal infections has gradually increased. Mucormycosis is a fungal infection primarily caused by Rhizopus Oryzae. The majority of patients who develop invasive mucormycosis die within 12 weeks of diagnosis. Mucormycosis is commonly treated with an antifungal agent called Amphotericin B (AMB). When used in high concentrations, AMB causes severe side effects such as nephrotoxicity. It has been reported that 99% of microbes exist as biofilm: thus, there is a direct association between mucormycosis and biofilms. Shockwave has been shown to inhibit living bacteria in biofilm, but few studies have focused on the effects of shockwave on fungal biofilm. Previous work in our lab showed that shockwaves were effective in damaging biofilms of R. oryzae; but at the same time helped promote the metabolism of surviving R. oryzae. This study aims to investigate the proteins expressed in fungal biofilms when introduced to different intensities of shockwave coupled with the treatment of AMB. This will be accomplished by culturing sporangiospores and propagating R. oryzae biofilms. Standardized biofilm will be treated with 0.5 µg/mL AMB in 1% DMSO, and/or shockwave treatment of 300 pulses at 0.19 mJ/mm2 energy density to be measured against a control group. The proteins will be extracted, determined by 2D gel electrophoresis, and identified by mass spectrometry. Studying protein expression resulting from combination therapy of extracorporeal shockwave and AMB on R. oryzae biofilm could progress research surrounding the difficulties of mucormycosis treatments. Particularly, research aimed at counteracting the antifungal and antimicrobial resistance contributed by proteins in the fungi's biofilm.

Transcriptomics of Ephemeroptera (Mayflies): Generation of New Data and Bioinformatics Workflow

December 30, 0020 12:00 AM
Vilela, Ernie; Seal, Isaac; Ogden, Heath T. (Utah Valley University)
Faculty Advisor: Ogden, Thomas (College of Science, Biology Deapartment)

We are interested in using transcriptome data, generated with next generation sequencing technology, to investigate the evolutionary trends of specific genes and their associated expression in mayflies. We generated an additional transcriptome for mayflies. RNA was extracted from a freshly frozen specimen preserved in RNAlater® (Ambion) using TRIzol® Reagent (Ambion) and cDNA libraries were prepared from mRNA. RNA-seq data was generated using a paired-end protocol (PE100) on Illumina HiSeq2000 with an expected 60 million reads. In order to effectively investigate the large amount of sequences, we created a bioinformatics workflow to analyze the newly generated transcriptome data along with previous data for mayflies. The workflow consists of these main steps: Trinity (Assemblying the transcripts), Transdecoder (Identifying candidate coding regions), HMMER (Searching biological sequence databases for homologous sequences). We tested the workflow looking at opsin genes.