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With platform and batch effects eliminated, we began to explore relationships in the mouse model database.
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Herein, we used gene expression profiles from our mouse model and Connectivity Map database to find therapeutic agents that target the TB interface, rather than a given pathway.
Similar to shared facilities, MouseBase@Duke is a database of mouse model strains used and maintained by Duke investigators.
As an additional outcome of this research, we have provided a large scale predictive resource for each of the mouse models in the database.
In the examination of mouse models in the database, unsupervised hierarchical clustering revealed significant heterogeneity both between models and within models and was pronounced in tumor models with a large number of samples.
The relevance in human lupus of the pathways identified in the mouse model was explored using information from several databases derived from the published literature.
We then investigated HOPX expression in an ATII-ATI trans-differentiation culture model in vitro, in bleomycin-induced mouse model of pulmonary fibrosis in vivo, and by database analyses of expression profiles of IPF lungs in silico.
Results from human cervical cancer genomic databases and an accepted transgenic mouse model strongly support the clinical relevance of the discovered feed-forward signaling loop.
The MIST database integrates biological interaction data from yeast, nematode, fly, zebrafish, frog, rat and mouse model systems, as well as human.
Another reason for using the mouse model was that the orthologous genes in mouse and human covered almost all genes in the cMap database.
Mouse model of MDD.
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