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Evaluation Of Aging And Genetic Mutation Variants On Tauopathy, Amber M. Tetlow Nov 2020

Evaluation Of Aging And Genetic Mutation Variants On Tauopathy, Amber M. Tetlow

USF Tampa Graduate Theses and Dissertations

Alzheimer’s disease (AD) is characterized by amyloid β plaques and neurofibrillary tau tangles (NFTs). While research has demonstrated amyloid pathology occurs prior to tau pathology, or tauopathy, tau has proven to be more toxic. Tauopathy is associated with cognitive declines and neurodegeneration. These findings have highlighted the importance of further understanding tauopathy. In the progression of tauopathy, there is an observable immune response that can be measured by glial cells such as microglia. Activated microglia are known to exacerbate tauopathy rather than reducing the pathology. Research has indicated that with increased age there is an increased risk for AD-related tauopathy …


The Impact Of Myeloid-Mediated Co-Stimulation And Immunosuppression On The Anti-Tumor Efficacy Of Adoptive T Cell Therapy, Pasquale Patrick Innamarato Aug 2020

The Impact Of Myeloid-Mediated Co-Stimulation And Immunosuppression On The Anti-Tumor Efficacy Of Adoptive T Cell Therapy, Pasquale Patrick Innamarato

USF Tampa Graduate Theses and Dissertations

Adoptive T cell therapy (ACT) in combination with lymphodepleting chemotherapy is an effective strategy to induce the eradication of tumors, providing long-term regression in cancer patients. However, only a minority of patients that receive ACT with tumor infiltrating lymphocytes (TILs) exhibit durable benefit. Thus, there is an urgent need to define strategies that potentiate anti-tumor activity conducted by adoptively transferred T cells. In these studies, we aimed to identify novel strategies to enhance the therapeutic efficacy of ACT. Accordingly, we describe the disparate roles of myeloid cells in the context of ACT characterized by the augmentation of TIL proliferation in …


Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari Jun 2020

Active Deep Learning Method To Automate Unbiased Stereology Cell Counting, Saeed Alahmari

USF Tampa Graduate Theses and Dissertations

Cell quantification in histopathology images plays a significant role in understanding and diagnosing diseases such as cancer and Alzheimers. The gold-standard for quantifying cells in tissue sections is the unbiased stereology approach. Unfortunately, in unbiased stereology current practices rely on a well-trained human to manually count hundreds of cells in microscopy images. However, this human-based manual approach is time-consuming, labor-intensive, subject to human errors, recognition bias, fatigue, variable training, poor reproducibility, and inter-observer error. Thus, the lack of high-throughput technology for automating unbiased stereology analyses remains a major obstacle to further progress in a wide range of neuroscience and cancer …


Mechanistic And Translational Studies On Skeletal Malignancies, Jeremy Mcguire Jun 2020

Mechanistic And Translational Studies On Skeletal Malignancies, Jeremy Mcguire

USF Tampa Graduate Theses and Dissertations

New treatment strategies are desperately needed for treating skeletal malignancy. Skeletal malignancies can be either primary cancer that originated in the bone, such as osteosarcoma, or metastatic cancer that spread from another organ to the skeleton, as in the case of breast or prostate cancer. In this thesis, I will detail two projects that focus on the discovery of new treatment strategies for both primary skeletal malignancy and metastatic skeletal malignancy.

The first project focuses on the primary skeletal malignancy, osteosarcoma, a rare cancer that is commonly diagnosed in children and young adults and metastasizes to the lungs. The survival …