Valina Dawson Ph. D.

Research Interests

Dr. Dawson’s laboratory is actively engaged in discovering and defining cell signaling pathways that lead to either neuronal survival or neuronal death. The lab has named a new cell death process Parthanatos. In the brain, Parthanatos is important in ischemic and excitotoxic injury and in models of Parkinson’s disease. The cell death mechanism involves nuclear activation of poly(ADP-ribose) polymerase and mitochondrial release of apoptosis inducing factor in the integration of the death signal; current research aims to further understand how this pathway works. She has characterized neuronal injury and survival pathways in cell, fly and mouse models of Parkinson’s disease and stroke. She is focused on several monogenic forms of Parkinson’s disease including parkin and LRRK2, as well as the new sporadic model of Parkinson’s disease using pre-formed fibrils of alpha synulcein in order to begin to define the biochemical signaling important to Parkinson’s disease. Yeast, cellular, fly and mouse models along with human neuronal cultures and human postmortem tissue explore survival and disease signaling events relevant to Parkinson’s disease. . In addition to cell death, the team also strives to understand how cells survive by characterizing survival genes and proteins involved in preconditioning. The Dawson laboratory employs advanced technologies in high throughput screening, next generation sequencing including RNA Seq and ChIP Seq, ribosomal foot printing, and high throughput proteomic analysis coupled with advanced computational biology to investigate signaling networks important in stroke, Parkinson’s disease and other neurodegenerative disorders. The overarching goal of the research is to understand death and survival signaling in order to identify new targets for therapeutic development.

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Liudmila Cebotaru

Research Interests

My focus is in developing gene or pharmacologic therapies for genetic diseases in which mutations lead to chronic diseases.  I devote significant effort to developing treatment strategies for cystic fibrosis (CF), a lethal autosomal recessive disorder caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene.  I study treatment options for other ABC transporters, similar to CFTR, such as ABCA4, which causes, Stargardt macular degeneration which leads to macular destruction in children. I am actively involved in developing strategies for reducing cyst formation in Autosomal Dominant Polycystic Kidney disease , the most common dominant genetic disorder in humans.

Thomas B. Woolf

Research Interests

We are currently focused on using streaming data systems in connection with high performance and cloud based computer systems to enable feedback and control for addressing physiologically important research questions. Our most recent work is in developing the Metabolic Compass App (see http://www.metaboliccompass.com). This is an iPhone based ResearchKit/HealthKit App that supports the electronic consent and data collection and analysis of health related temporal information.  Our research goal is to enable participants to see their health data in the context of circadian timing and to test ideas behind intermittent fasting and time-restricted feeding in a large population.  This is very similar, though at a different scale to our work with molecular dynamics systems: the analysis and understanding of temporally defined information.

We also continue to work towards understanding and control of large-scale conformational molecular changes that drive function.  This includes ongoing projects that are focused on database controls for molecular dynamics systems. We have developed new algorithms (Dynamic Importance Sampling) and our information-based order parameter.  The current projects includes collaborations with Mario Amzel, Phil Cole and Peter Devreotes on PIP2/PIP3 signaling through PI3K, AKT, and PTEN; work with Svetlana Lutsenko’s group on copper transporting membrane pumps, and our continued development of MDDB (Molecular Dynamics Database) and Molecular Marshal: database feedback and control platforms for use on local and distributed computers.  We are in the process of generalizing these platforms to other scientific problems and are active contributors to IDIES (Institute for Data Intensive Engineering and Sciences) and MARCC (Maryland Advanced Research Computer Center) at JHU.

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G. William Wong

Research Interests

Metabolic Physiology of Secreted Hormones
Our lab seeks to understand mechanisms employed by cells and tissues to maintain metabolic homeostasis. We are broadly interested in how secreted hormones control various aspects of sugar and fat metabolism. Our current efforts centered on addressing how fat and muscle-derived secretory proteins (adipokines and myokines), identified in our lab, regulate tissue crosstalk and signaling pathways to control energy metabolism. We use genetic approaches (gain and loss-of-function mouse models), and cell model systems, to address the function of CTRP family of hormones in physiological and pathophysiological context.

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