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Full-Text Articles in Translational Medical Research
Human Regulatory T Cells Control Inflammation From Effector T Cells In Prediabetes, Rui Liu
Human Regulatory T Cells Control Inflammation From Effector T Cells In Prediabetes, Rui Liu
Theses and Dissertations--Pharmacy
Type 2 diabetes (T2D) is a chronic low-grade inflammatory disease. A T cell cytokine profile (Th17) from PBMCs can distinguish obese T2D from obese non-diabetes subjects. Individual T cell subsets interact with each other and the diverse subsets jointly determine overall inflammation. Cellular metabolism drives cytokine production of CD4+ T cells, and therefore contributes to inflammation in T2D. However, specific changes in metabolism and function of CD4+ T cells during the progression from lean healthy to obese and diabetic stages in people have not been clarified.
We hypothesize that human regulatory T cells (Treg) impact metabolism of effector …
Development Of Mithramycin Analogues With Improved Efficacy And Reduced Toxicity For Treatment Of Ets-Dependent Tumors In Ewing Sarcoma And Prostate Cancer, Joseph Michael Eckenrode
Development Of Mithramycin Analogues With Improved Efficacy And Reduced Toxicity For Treatment Of Ets-Dependent Tumors In Ewing Sarcoma And Prostate Cancer, Joseph Michael Eckenrode
Theses and Dissertations--Pharmacy
Introduction: Genetic rearrangements in Ewing sarcoma, prostate, and leukemia cells result in activation of oncogenic ETS transcription factor fusions. Mithramycin (MTM) has been identified as an inhibitor of EWS-FLI1 transcription factor, a gene fusion product responsible for oncogenesis in Ewing sarcoma. Despite preclinical success, a phase I/II clinical trial testing MTM therapy in refractory Ewing sarcoma was terminated. Liver and blood toxicities resulted in dose de-escalation and sub-therapeutic exposures. However, the promise of selectively targeting oncogenic ETS transcription factors like EWS-FLI1 prompted us to undertake the discovery of more selective, less toxic analogues of MTM. MTM is a potent inhibitor …
Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones
Scalable Feature Selection And Extraction With Applications In Kinase Polypharmacology, Derek Jones
Theses and Dissertations--Computer Science
In order to reduce the time associated with and the costs of drug discovery, machine learning is being used to automate much of the work in this process. However the size and complex nature of molecular data makes the application of machine learning especially challenging. Much work must go into the process of engineering features that are then used to train machine learning models, costing considerable amounts of time and requiring the knowledge of domain experts to be most effective. The purpose of this work is to demonstrate data driven approaches to perform the feature selection and extraction steps in …