Research & Graduate Program in Inflammation

Welcome!

Inflammation research conducted in Virginia Tech focuses on system network analyses of human inflammatory processes using biological, chemical, computational, and structural approaches. This is evident from our participating faculties across the campus representing Biological Sciences and Chemistry, Virginia Tech-Wake Forest School of Biomedical Engineering, Human Nutrition and Health, Biomedical Sciences and Pathobiology, as well as the Virginia Bioinformatics Institute. With our close ties with neighboring medical schools such as Wake Forest, Georgetown, Virginia College of Osteopathic Medicine, as well as the Carilion Clinic, many of our research groups are performing translational investigations unraveling system networks underlying numerous human inflammatory diseases.

Our key research areas include:

  • Cellular signaling network governing innate immunity and inflammation
  • Inflammation in cardiovascular diseases, diabetes, and neurological diseases
  • Computational analyses of inflammation network
  • Structural analyses of key macromolecules involved in inflammation
  • Chemical intervention of inflammatory processes

Our core research facilities reflect the rich and diverse expertise on campus, and include proteomic core with MOLDI TOF/TOF capability; immunology core with BD flow cytometers and FACSAria cell sorters; metabolic core with Biacore and Luminex systems; structural core with X-ray crystallization and diffraction system; imaging core with laser dissecting microscopes, confocal microscopes, live cell and animal imaging facilities; animal facilities; as well as super-computing capabilities.
 
Graduate students and post-doctoral scientists benefit from diverse and integrative expertise in biomedicine and engineering, rich resources in a comprehensive University, and close communication with colleagues in sister institutions.

 


Centered image, 135 pixels wide maximum, can be in portrait or landscape orientation
Centered image, 135 pixels wide maximum, can be in portrait or landscape orientation
Centered image, 135 pixels wide maximum, can be in portrait or landscape orientation

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