Life Sciences Commons^™

Functional Characterization Of Microbial Symbiotic Associations By Metaproteomics, Jacque Caprio Young

Doctoral Dissertations

Rarely are microbes found in isolation in the environment, but rather form symbiotic associations with other microbes or eukaryotic hosts. The advent of the systems biology era has allowed global characterization of these symbiotic associations at levels not previously possible. However, while metagenomic studies have revealed microbial membership and potential genomic information among members taking part in the symbiosis, there is still a significant lag in the functional characterization within these symbiotic associations. Thus, in this dissertation, we utilized a metaproteomic approach to study microbial symbiotic associations. We have developed and applied this robust platform to investigate various symbiotic associations …

Applied And Mechanistic Studies Of Microbial 17beta-Estradiol Degradation, Zhongtian Li

Z Li

The presence of natural estrogens, a class of endocrine disrupting compounds, in water has caused increasing concerns over their adverse impacts on the health of aquatic eco-systems and human beings. In this study, adsorption characteristics of two natural estrogens, 17β-estradiol (E2) and estrone (E1), on granular activated carbon (GAC) were investigated in isotherm tests and in a GAC column. The GAC column was then converted to a biologically active carbon (BAC) column and the removal efficiency of E2 and its primary biodegradation intermediate E1 were monitored. During BAC operation, the impacts of various reactor operation parameters, such as the carbon …

Advanced Molecular Biologic Techniques In Toxicologic Disease, Jeanine Ward, Gyongyi Szabo, David Mcmanus, Edward Boyer

Gyongyi Szabo

The advancement of molecular biologic techniques and their capabilities to answer questions pertaining to mechanisms of pathophysiologic events have greatly expanded over the past few years. In particular, these opportunities have provided researchers and clinicians alike the framework from with which to answer clinical questions not amenable for elucidation using previous, more antiquated methods. Utilizing extremely small molecules, namely microRNA, DNA, protein, and nanoparticles, we discuss the background and utility of these approaches to the progressive, practicing physician. Finally, we consider the application of these tools employed as future bedside point of care tests, aiding in the ultimate goal of …

Combinatorial Analysis Of Tumorigenic Micrornas Driving Prostate Cancer, William Budd

Theses and Dissertations

Prostate cancer is the leading non-cutaneous malignancy affecting men in the United States. One in every six men will be affected by prostate cancer. Due to the high incidence of prostate cancer, there is a need to develop biomarkers capable of identifying tumors from benign prostatic lesions. miRNAs are small molecules that regulate protein translation and impact cellular integrity when dysregulated. It is widely thought that miRNAs have the potential to serve as biomarkers. This study utilizes a unique combinatorial analysis of miRNA dysregulation to identify key miRNAs involved in prostate tumor initiation, progression and metastasis. Numerous dysregulated miRNAs potentially …

Hippocampal Ca1 Transcriptional Profile Of Sleep Deprivation: Relation To Aging And Stress, Nada M. Porter, Julia H. Bohannon, Meredith Curran-Rauhut, Heather M. Buechel, Amy L.S. Dowling, Lawrence D. Brewer, Jelena Popovic, Veronique Thibault, Susan D. Kraner, Kuey-Chu Chen, Eric M. Blalock

Pharmacology and Nutritional Sciences Faculty Publications

BACKGROUND: Many aging changes seem similar to those elicited by sleep-deprivation and psychosocial stress. Further, sleep architecture changes with age suggest an age-related loss of sleep. Here, we hypothesized that sleep deprivation in young subjects would elicit both stress and aging-like transcriptional responses.

METHODOLOGY/PRINCIPAL FINDINGS: F344 rats were divided into control and sleep deprivation groups. Body weight, adrenal weight, corticosterone level and hippocampal CA1 transcriptional profiles were measured. A second group of animals was exposed to novel environment stress (NES), and their hippocampal transcriptional profiles measured. A third cohort exposed to control or SD was used to validate transcriptional results …

The Proteomics Of Lipid Droplets: Structure, Dynamics, And Functions Of The Organelle Conserved From Bacteria To Humans., Li Yang, Yunfeng Ding, Yong Chen, Shuyan Zhang, Chaoxing Huo, Yang Wang, Jinhai Yu, Peng Zhang, Huimin Na, Huina Zhang, Yanbin Ma, Pingsheng Liu

Faculty Scholarship for the College of Science & Mathematics

Lipid droplets are cellular organelles that consists of a neutral lipid core covered by a monolayer of phospholipids and many proteins. They are thought to function in the storage, transport, and metabolism of lipids, in signaling, and as a specialized microenvironment for metabolism in most types of cells from prokaryotic to eukaryotic organisms. Lipid droplets have received a lot of attention in the last 10 years as they are linked to the progression of many metabolic diseases and hold great potential for the development of neutral lipid-derived products, such as biofuels, food supplements, hormones, and medicines. Proteomic analysis of lipid …

Proteomic Analysis Of 17Β-Estradiol Degradation By Stenotrophomonas Maltophilia, Zhongtian Li

Z Li

Microbial degradation plays a critical role in determining the environmental fate of steroid hormones, such as 17β-estradiol (E2). The molecular mechanisms governing the microbial transformation of E2 and its primary degradation intermediate, estrone (E1), are largely unknown. The objective of this study was to identify metabolism pathways that might be involved in microbial estrogen degradation. To achieve the objective, Stenotrophomonas maltophilia strain ZL1 was used as a model estrogen degrading bacterium and its protein expression level during E2/E1 degradation was studied using quantitative proteomics. During an E2 degradation experiment, strain ZL1 first converted E2 to E1 stoichiometrically. At 16 h …

A Multifaceted Approach Identifies Erbb2 And Erbb3 Proteins And Microrna-125b As Key Contributors To Prostate Cancer Progression, Danielle Weaver

Theses and Dissertations

Prostate cancer is the most common cancer affecting men today. Therefore, there is a strong need for accurate biomarkers and successful therapeutic treatments. A novel approach combining a computationally built protein-protein interaction network of proven microRNA protein targets with high throughput proteomics identified ErbB2 and ErbB3 as key proteins in prostate cancer. These results coupled with microRNA array screening of an androgen-independent prostate cancer progression model, substantiated by single microRNA analysis, suggested miR125b as a key tumor suppressor contributing to prostate cancer progression. miR125b expression was shown to be substantially increased in the non-tumorigenic P69 cell line compared to its …

Mass Spectrometry-Based Proteomics Analysis Of The Matrix Microenvironment In Pluripotent Stem Cell Culture, Christopher Hughes

Electronic Thesis and Dissertation Repository

The stem cell microenvironment contains soluble factors, support cells, and components of the extracellular matrix (ECM) that combine to effect cellular behavior. Mass spectrometry based proteomics offers the opportunity to directly assay components of extracellular microenvironments, thereby providing a sensitive means for obtaining insight into the stem cell niche. In this study we present the generation and analysis of human embryonic stem cell (hESC) and human induced pluripotent stem cell (hiPSC) matrix microenvironments using an MS-based proteomics approach.

One of the primary limitations in the proteomics analysis of hESCs and hiPSCs is the reproducible generation of sufficient cell numbers amenable …

Protein Profiling Of Adenine Nucleoside And Nucleotide Analogs Binding Proteins Using N6-Biotinylated-8-Azidoadenosine Analogs As Affinity Based Protein Profiling Probes, Shikha Mahajan

USF Tampa Graduate Theses and Dissertations

Identification of differential expressions of proteins in proteomic profiles of biological samples shows great potential as a valuable technique for the early diagnosis of various diseases. An important challenge in modern protein profiling approaches is to reduce the complexity of the samples by limiting the number of proteins that need to be evaluated for distinction in the expression between normal and deceased cells. In this research, an affinity based approach for the enrichment of nucleotide and nucleoside binding proteins from a complex cell proteome has been developed. To achieve this goal, new N6-biotinylated-8-azido-adenosine probes (AdoRs) have been designed and synthesized …

Identification Of The Major Functional Proteins Of Prokaryotic Lipid Droplets., Yunfeng Ding, Li Yang, Shuyan Zhang, Yang Wang, Yalan Du, Jing Pu, Gong Peng, Yong Chen, Huina Zhang, Jinhai Yu, Haiying Hang, Peng Wu, Fuquan Yang, Hongyuan Yang, Alexander Steinbüchel, Pingsheng Liu

Faculty Scholarship for the College of Science & Mathematics

Storage of cellular triacylglycerols (TAGs) in lipid droplets (LDs) has been linked to the progression of many metabolic diseases in humans, and to the development of biofuels from plants and microorganisms. However, the biogenesis and dynamics of LDs are poorly understood. Compared with other organisms, bacteria seem to be a better model system for studying LD biology, because they are relatively simple and are highly efficient in converting biomass to TAG. We obtained highly purified LDs from Rhodococcus sp. RHA1, a bacterium that can produce TAG from many carbon sources, and then comprehensively characterized the LD proteome. Of the 228 …

The Proteomic Response Of Sea Squirts (Genus Ciona Congeners) To Hyposalinity Stress, James S. Koman

Master's Theses

The ascidian species Ciona savignyi and C. intestinalis are invasive species but show interspecific differences in their population response to hypo-saline stress associated with heavy winter-run off events that are predicted to become more frequent due to climate change. Despite an almost world-wide distribution, C. intestinalis seems to be more susceptible to hypo-saline stress than the geographically more limited C. savignyi. Given that the genomes of both species are fully sequenced, we were able to compare their proteomic response to both acute and chronic salinity to characterize the mechanisms that are responsible for setting tolerance limits to hyposaline conditions …

Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris

Jeffrey S. Morris

In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of proteins in biological samples, plays an important role in the biomarker discovery process. These technologies produce complex, high dimensional functional and image data that present many analytical challenges that must be addressed properly for effective comparative proteomics studies that can yield potential biomarkers. Specific challenges include experimental design, preprocessing, feature extraction, and statistical analysis accounting for the inherent multiple testing issues. This paper reviews various computational …

Integrative Bayesian Analysis Of High-Dimensional Multi-Platform Genomics Data, Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju C. Manyam, Kim-Anh Do

Jeffrey S. Morris

Motivation: Analyzing data from multi-platform genomics experiments combined with patients’ clinical outcomes helps us understand the complex biological processes that characterize a disease, as well as how these processes relate to the development of the disease. Current integration approaches that treat the data are limited in that they do not consider the fundamental biological relationships that exist among the data from platforms.

Statistical Model: We propose an integrative Bayesian analysis of genomics data (iBAG) framework for identifying important genes/biomarkers that are associated with clinical outcome. This framework uses a hierarchical modeling technique to combine the data obtained from multiple platforms …

Boesenbergia Rotunda: From Ethnomedicine To Drug Discovery, Norzulaani Khalid

Norzulaani Khalid

Boesenbergia rotunda is a herb from the Boesenbergia genera under the Zingiberaceae family. B. rotunda is widely found in Asian countries where it is commonly used as a food ingredient and in ethnomedicinal preparations. The popularity of its ethnomedicinal usage has drawn the attention of scientists worldwide to further investigate its medicinal properties. Advancement in drug design and discovery research has led to the development of synthetic drugs from B. rotunda metabolites via bioinformatics and medicinal chemistry studies. Furthermore, with the advent of genomics, transcriptomics, proteomics, and metabolomics, new insights on the biosynthetic pathways of B. rotunda metabolites can be …