Abstract: Methods and systems for evaluating biological dataset profiles relating to asthma and other atopic conditions are provided, where datasets comprising information for multiple cellular parameters are compared and identified, and used in the evaluation of candidate pharmacologic agents for suitability as therapeutic agents.

Abstract: Compositions and methods are provided for the classification of biologically active agents according to their effect on human biology, through the use of complex, primary human cell-based disease models in scalable assay formats. The systems of the invention utilize the simultaneous activation of multiple signaling pathways to generate and identify patterns of expression of physiologically important cell surface and secreted molecules. Combinations of multiple cell types may be utilized. Systems encompassing multiple cell types not only respond to perturbations of each cell type's intracellular signaling networks, but also to inhibition of pathways of communication between cells. Readout information may be combined in multi-system analysis, where the profiles obtained from multiple systems are combined in order to provide enhanced resolution for agent classification.