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Smooth Muscle Hyperplasia Due To Acta2/Myh11 Mutations: Identification Of Novel Pathology And Pathways Leading To Aneurysms And Diverse Vascular Occlusive Diseases, Christina L. Papke May 2010

Smooth Muscle Hyperplasia Due To Acta2/Myh11 Mutations: Identification Of Novel Pathology And Pathways Leading To Aneurysms And Diverse Vascular Occlusive Diseases, Christina L. Papke

Dissertations & Theses (Open Access)

Missense mutations in smooth muscle cell (SMC) specific ACTA2 (á-actin) and MYH11 (â-myosin heavy chain) cause diffuse and diverse vascular diseases, including thoracic aortic aneurysms and dissections (TAAD) and early onset coronary artery disease and stroke. The mechanism by which these mutations lead to dilatation of some arteries but occlusion of others is unknown. We hypothesized that the mutations act through two distinct mechanisms to cause varied vascular diseases: a loss of function, leading to decreased SMC contraction and aneurysms, and a gain of function, leading to increased SMC proliferation and occlusive disease. To test this hypothesis, ACTA2 mutant SMCs …


Mechanism-Based Strategies To Enhance The Actions Of A, Fabiola C. Gomez May 2010

Mechanism-Based Strategies To Enhance The Actions Of A, Fabiola C. Gomez

Dissertations & Theses (Open Access)

Heat shock protein 90 (HSP90) is an abundant molecular chaperone that regulates the functional stability of client oncoproteins, such as STAT3, Raf-1 and Akt, which play a role in the survival of malignant cells. The chaperone function of HSP90 is driven by the binding and hydrolysis of ATP. The geldanamycin analog, 17-AAG, binds to the ATP pocket of HSP90 leading to the degradation of client proteins. However, treatment with 17-AAG results in the elevation of the levels of antiapoptotic proteins HSP70 and HSP27, which may lead to cell death resistance. The increase in HSP70 and HSP27 protein levels is due …


Biomedical Language Understanding And Extraction (Blue-Text): A Minimal Syntactic, Semantic Method, Parsa Mirhaji May 2009

Biomedical Language Understanding And Extraction (Blue-Text): A Minimal Syntactic, Semantic Method, Parsa Mirhaji

Dissertations & Theses (Open Access)

Clinical text understanding (CTU) is of interest to health informatics because critical clinical information frequently represented as unconstrained text in electronic health records are extensively used by human experts to guide clinical practice, decision making, and to document delivery of care, but are largely unusable by information systems for queries and computations. Recent initiatives advocating for translational research call for generation of technologies that can integrate structured clinical data with unstructured data, provide a unified interface to all data, and contextualize clinical information for reuse in multidisciplinary and collaborative environment envisioned by CTSA program. This implies that technologies for the …