Controlled Exposure & Informatics/Modeling Facility Core

 

Core Directors:  Panos Georgopoulos, Ph.D. and Clifford Weisel, PhD

Controlled exposure facility

Measurement of exposure effects in Controlled Exposure Facility

 

Controlled Exposure Unit

The CEU generates environmental exposures both for human and experimental animal studies. Initially supported by grants to Center investigators (N. Fiedler, DOD; H. Kipen, EPA), this unit was restructured as part of a Facility Core with expanded capabilities in terms of the types of atmospheres that can be generated. The Controlled Exposure Unit is key to the ability the Center to perform complementary basic laboratory and clinical studies. Studies using ozone and diesel exhaust are ongoing in the Cardiopulmonary Disease Core.

 

 

Informatics/Modeling Unit

CCL-ICT-group2The Informatics and Modeling Unit  is pivotal to integration of data from of all Facility and Research Cores. It serves as the gateway for informatics-based queries and a clearinghouse for data formatting, transfer, and analysis, as well as modeling exposures and outcomes.

Two  components of this Unit:
  • Informatics provides the tools, staff and training to assist Center investigators in the analysis and integration of the different data types. For example, gene expression profiling data are integrated with data from exposure assessment, SNP data, and phenotypic analyses to define pathogenic mechanisms. For investigators more experienced in bioinformatics methods or those performing studies that require higher levels of data analysis, modeling support, or integration, the Core can provide expert consultation for the use or development of appropriate customized tools for information analysis.
  • Modeling provides leadership in the development of computational approaches to model exposure on the basis of ambient levels of toxicants, routes of exposure, behavior, lifestyle, pharmacokinetic parameters, genotype, and mechanisms of pathogenesis. This exposure to phenotype modeling provides information for population based studies where individual exposure levels are not available and generates testable hypotheses on dose-response relationships.
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