Medical Molecular Biology Commons^™

Trypanosoma Cruzi Modulates Piwi-Interacting Rna Expression In Primary Human Cardiac Myocytes During The Early Phase Of Infection, Kayla J. Rayford, Ayorinde Cooley, Ashutosh Arun, Girish Rachakonda, Yulia Kleschenko, Fernando Villalta, Siddharth Pratap, Maria F. Lima, Pius N. Nde

Publications and Research

Trypanosoma cruzi dysregulates the gene expression profile of primary human cardiomyocytes (PHCM) during the early phase of infection through a mechanism which remains to be elucidated. The role that small non-coding RNAs (sncRNA) including PIWI-interacting RNA (piRNA) play in regulating gene expression during the early phase of infection is unknown. To understand how T. cruzi dysregulate gene expression in the heart, we challenged PHCM with T. cruzi trypomastigotes and analyzed sncRNA, especially piRNA, by RNA-sequencing. The parasite induced significant differential expression of host piRNAs, which can target and regulate the genes which are important during the early infection phase. An …

Hyperpolarized Carbon-13 Magnetic Resonance Measurements Of Tissue Perfusion And Metabolism, Keith Michel

Dissertations & Theses (Open Access)

Hyperpolarized Magnetic Resonance Imaging (HP MRI) is an emerging modality that enables non-invasive interrogation of cells and tissues with unprecedented biochemical detail. This technology provides rapid imaging measurements of the activity of a small quantity of molecules with a strongly polarized nuclear magnetic moment. This polarization is created in a polarizer separate from the imaging magnet, and decays continuously towards a non-detectable thermal equilibrium once the imaging agent is removed from the polarizer and administered by intravenous injection. Specialized imaging strategies are therefore needed to extract as much information as possible from the HP signal during its limited lifetime.

In …

Cancer-Targeting Immunostimulatory Peptides As An Immunotherapeutic Approach To Cancer, Rachel Montel

Seton Hall University Dissertations and Theses (ETDs)

This dissertation reports the synthesis and biological applications of bifunctional trimeric peptides with B7H6-derived NKp30 binding motifs that serve to activate an immunocytotoxic response in natural killer cells and a GRP78-binding motif that can target tumors that express surface GRP78. In this manner the cancer-targeting immunostimulatory peptides are anticipated to directly bind and activate effector NK92-MI cells while also recognizing and binding to target A549 tumor cells to facilitate NK cell-dependent immunocytotoxicity of the targeted tumors. The NKp30 binding peptide motifs are derived from the tumor associated B7H6 antigen that is often downregulated or shed from the surface of tumors …

Effect Of S100b Deletion On Membrane Properties And Localization Of Ncald And Hpca, Natasha Hesketh

Graduate School of Biomedical Sciences Theses and Dissertations

Calcium signaling is particularly important for neuronal function. Neurons utilize a wide range of calcium-binding proteins. Dysregulation of such proteins is linked to neurodegeneration. Neurocalcin delta (NCALD), hippocalcin (HPCA), and S100B are calcium sensors that are expressed in the hippocampus, a brain region essential to memory and severely damaged in Alzheimer’s disease (AD). Despite the potential importance of these proteins, we do not fully understand the physiological significance of their relationship. Because NCALD and HPCA are known to interact with S100B, we hypothesized that the loss of S100B affects NCALD and HPCA localization, and therefore electrical properties, of hippocampal neurons. …

Implications Of Long Non-Coding Rnas In The Pathogenesis Of Diabetic Retinopathy: A Novel Epigenetic Paradigm., Saumik Biswas

Electronic Thesis and Dissertation Repository

With the rising incidence of diabetic retinopathy (DR), there is an urgent need for novel therapies. Presently, several altered metabolic pathways have been implicated in the pathogenesis of DR. Recent advances in genomic technologies have identified considerable epigenetic alterations that also contribute to DR progression. Long non-coding RNAs (lncRNAs; >200 nucleotides), critical regulators of gene expression, are aberrantly expressed in DR and have not been comprehensively characterized. Our microarray analyses using human retinal endothelial cells (HRECs) revealed thousands of differentially expressed lncRNAs following high glucose (HG) exposure, with profound increases in the lncRNAs MALAT1 and HOTAIR. Using multiple techniques, …

Thrombospondin-1 Plays An Essential Role In Yes-Associated Protein Nuclear Translocation During The Early Phase Of Trypanosoma Cruzi Infection In Heart Endothelial Cells, Ashutosh Arun, Kayla J. Rayford, Ayorinde Cooley, Girish Rachakonda, Fernando Villalta, Siddharth Pratap, Maria F. Lima, Nader Sheibani, Pius N. Nde

Publications and Research

The protozoan parasite Trypanosoma cruzi is the causative agent of Chagas disease. This neglected tropical disease causes severe morbidity and mortality in endemic regions. About 30% of T. cruzi infected individuals will present with cardiac complications. Invasive trypomastigotes released from infected cells can be carried in the vascular endothelial system to infect neighboring and distant cells. During the process of cellular infection, the parasite induces host cells, to increase the levels of host thrombospondin-1 (TSP-1), to facilitate the process of infection. TSP-1 plays important roles in the functioning of vascular cells, including vascular endothelial cells with important implications in cardiovascular …

Machine Learning Prediction Of Glioblastoma Patient One-Year Survival, Andrew Du '20, Warren Mcgee, Jane Y. Wu

Student Publications & Research

Glioblastoma (GBM) is a grade IV astrocytoma formed primarily from cancerous astrocytes and sustained by intense angiogenesis. GBM often causes non-specific symptoms, creating difficulty for diagnosis. This study aimed to utilize machine learning techniques to provide an accurate one-year survival prognosis for GBM patients using clinical and genomic data from the Chinese Glioma Genome Atlas. Logistic regression (LR), support vector machines (SVM), random forest (RF), and ensemble models were used to identify and select predictors for GBM survival and to classify patients into those with an overall survival (OS) of less than one year and one year or greater. With …