MS-CARDIO
Medical Students Cardiovascular Research and Discovery Opportunities

I have patients’ data and currently, multiple medical students are working with me. I am working on cardiovascular disease related to drug use. For example, we are doing geospatial analysis of peripheral artery disease and its variation for meth and cocaine use.
Nobel's Biostatistics Lab

My lab applies a multidisciplinary approach in stroke and thrombosis research, combining data from human samples, in vitro assay and preclinical models of stroke, venous and arterial thrombosis. Current focus of the lab includes understanding of the mechanistic role of neutrophil integrin alpha9beta1 in the pathogenesis of venous thrombosis in the setting of stroke and obesity.
Dhanesha Lab

We study the vascular contribution to Alzheimer’s disease. We use MRI, neuropsychological testing and blood analysis to evaluate potential bio markers.
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The focus of our lab’s research is on the neurovascular changes in the retina during various pathologies, including diabetic and hypertensive retinopathy. Techniques used in the research include ex vivo tissue analyses, in vitro cell culture, image analyses, and molecular biology assays.
Harris Lab

EMR based research regarding PAD, CLI, vs CVD incidence in with stimulant abuse.
EMR based research regarding PAD, CLI, vs CVD/CHF incidence in subjects with SLGT2 inhibitors.
Immunophenotyping of phospho CSE in human vascular specimens from collected tissues.
In vitro cell culture testing of phospho CSE presence and mutant phospho CSE function under oxidant challenge.
Kevil Lab

The Magdy laboratory is trying to understand the role of the genome in patient-specific drug response and cardiovascular disease predisposition. We are particularly interested in the pharmacogenomics of chemotherapy-induced cardiotoxicity and congenital heart diseases using human-induced pluripotent stem cells-derived cardiomyocytes (hiPSC-CMs). To do this, we adopt state-of-the-art techniques, including somatic cell reprogramming into human induced pluripotent stem cells, multi-lineage iPSC differentiation, CRISPR/Cas9-mediated functional genomics methods, multi-omics approaches, and bioinformatics, combined with various quantitative and qualitative in vitro studies.
Magdy Lab

We have a registry of Peripartum Cardiomyopathy mothers since early 1990's. We are interested in looking at the long-term mortality and factors associated with adverse maternal outcome in the African American women.
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My laboratory works on the molecular mechanisms underlying atherosclerotic cardiovascular disease and nonalcoholic fatty liver disease.  Available projects in the lab include:
Characterize the Nck1 interactome during endothelial activation
Characterize atherosclerotic plaque composition in cell type-specific EphA2 knockout mice
Examine the role of SEMA3F in atherogenic matrix remodeling
Evaluate progression of NAFLD/NASH in mice following EphA2 inhibition
Orr Lab

Identified H2S-targeted proteins for early diagnosis and potential therapeutics for pancreatic cancer. Pancreatic cancer is one of the most aggressive human tumors due to its high potential for local invasion and metastasis. Identifying early markers of pancreatic cancer is a priority for oncology researchers as early detection of the disease is critical to improving patient survival rates. Our previous studies showed significant changes in endogenous sulfide bioavailability among pancreatic cancer cells. Also, we have identified thousands of proteins from FFPE pancreatic tissue from patients with pancreatic cancer using LC-MS/MS. In this project, we will explore sulfide-related pancreatic cancer biomarkers by using bioinformatics and computational analysis.

Signal transduction and posttranslational modifications in hyperglycemic HUVECs. Hyperglycemia is a major risk factor for endothelial dysfunction and vascular complication and can cause oxidative stress. This oxidative stress can cause immense damage to the body’s antioxidant defenses that help prevent many more diseases such as carcinogenesis, atherosclerosis, diabetes, etc. Using our proteomics data from hyperglycemic HUVECs, we will continue exploring oxidative stress-related pathways and posttranslational modifications using large-scale precision proteomics technology.

Machine learning and deep learning in proteomics. Proteomics data is ideally suited for Machine Learning. We will apply state-of-art machine learning and deep learning techniques to our current proteomics data, with the opportunity to integrate and mine knowledge from basic research, clinical research, and bioinformatics. In addition, we also develop visual tools for our generated large datasets by using Python or R.
Shen Lab

Light-moderate alcohol consumption suppresses post-ischemic inflammation that exacerbates brain damage following ischemic stroke. The project will investigate the role of endothelial L-PGDS. Specifically, the influence of L-PGDS antagonist and endothelial cell-specific L-PGDS conditional knockout on post-ischemic adhesion molecule expression, neutrophil infiltration, and microglia activation will be determined in alcohol-fed mice. The results may not only lead to novel strategies to prevent and treat ischemic stroke in non-drinkers but also advance the clinical management of ischemic stroke in alcohol users.
Sun Lab