Modeling multiple types of "omics" data to understand the biology of human exposure to pollution and allergens
Chris Carlsten, Sara Mostafavi
Inhaled environmental and occupational exposures such as air pollution and allergens are known to have a profound effect on our respiratory and immunological health. This collaborative project seeks to better understand how the human body responds adversely to these perturbants by developing and applying new computational models for analyses of integrated molecular data sets, collectively known as 'omics profiling (e.g., genomics, proteomics, metabolomics, epigenomics, transcriptomics, and polymorphisms). Joint analyzes of these high-dimensional data sets, derived from experimental controlled human exposures to inhaled particles and allergens, may unlock insight to better treat asthma, COPD, and other respiratory diseases.