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We investigate epigenome regulation of nervous system development and homeostasis. We are particularly interested in understanding how disruption of these mechanisms lead to neurological disorders.

We investigate genetic and molecular basis of phenotypic diversity observed in nature by using a range of methodologies such as whole genome sequencing, fluidics, long-term evolution experiments, and large-scale combinatorial mutagenesis. 

The Tu Lab is investigating how a variety of cellular processes and decisions are coordinated with metabolic state, and how the dysregulation of these mechanisms might be linked to disease and aging.

The over-arching theme of the Weaver Lab is to deeply understand how proteolytic factors mediate diverse physiological functions.

We are interested in understanding at a cellular level the neural control of energy balance and glucose metabolism, and elucidating how these events may participate in human disease.

Wilson Lab

The long-term goal of our lab is to understand the functions of ecDNA and how ecDNA is maintained in cancer. 

Our team is interested in developing computational models to predict patient outcomes, which will allow clinicians to tailor treatment plans for individual patients.

I am interested in developing computational models and algorithms for big data to predict patients' outcomes, which can help clinicians to tailor treatment plans for individual patients.

The lab focuses on developing bioinformatics algorithms and deep learning models to identify new disease genes and therapeutic targets for human diseases, as well as development and maintenance of data management system for genomic and clinical databases.

We are interested in how metabolism regulates various behaviors. We use two invertebrate model systems of C. elegans and D. melanogaster, ultimately aiming to unveil conserved neuro-molecular mechanisms throughout animals including mammals.

The central theme of our research program in our laboratory is to explore the co-evolution between tumor cells and the tumor microenvironment (TME) during the development of therapeutic resistance and metastatic relapse.

Our lab combines normative theories and biologically plausible neural circuit models to study the principles of neural information processing, in order to answer how perception, cognition, and behavior emerge from neural circuits. 

Our lab is interested in understanding the relationship between injury, regeneration, and cancer. We are focused on identifying the genes and mechanisms that regulate regenerative capacity in the liver and understanding how these contribute to hepatocellular carcinoma development.

We investigate the neuro-hormonal basis for complex eating behaviors and blood glucose control, with the ultimate goal of designing new methods to prevent and treat extremes of body weight, blood glucose, and associated disorders of mood and metabolism.

The Institute for Exercise and Environmental Medicine is a 40,000 square-foot research facility with 12 UTSW faculty working in multiple departments and divisions (Internal Medicine/Cardiology/Pulmonary, Neurology, PM&R, Anesthesiology, Applied Physiology) with up to 20 postdocs, and 40 staff on 70 active protocols and 15 federal grants. It is a research enterprise devoted to the study of human physiology and the limits to human functional capacity in health and disease. 

The focus of the Obata Lab is to study how environmental signals (e.g., microbiota, diet, day/night cycles) shape intestinal neural circuits and immune cell networks. A variety of experimental techniques are used, including state-of-the-art imaging technologies, viral tracing of gut innervation, in vivo and ex vivo physiological assays, gnotobiotic systems and multi-omics technologies. The Obata Lab is also interested in elucidating the molecular mechanisms of inter-organ communication, including the Gut-Brain axis.

Our laboratory discovered a family of transcription factors called sterol regulatory element-binding proteins (SREBPs) that control cholesterol and fatty acid synthesis. 

The Advanced Imaging and Informatics for Radiation Therapy (AIRT) Lab's research is focused on the development of novel imaging and beam delivery techniques and new machine learning algorithms to improve the efficacy of radiation therapy.

The research of the Huang Laboratory focuses on understanding the function of fibroblast progenitor cells and fibroblasts in regulating the immune system.