BioProject

Rare monogenic diseases affect millions worldwide; although over 4,500 rare disease genotypes are known, disease-modifying drugs are available for only 5% of them. More...

Rare monogenic diseases affect millions worldwide; although over 4,500 rare disease genotypes are known, disease-modifying drugs are available for only 5% of them. The sheer number of these conditions combined with their rarity precludes traditional costly drug discovery programs. An economically viable alternative is to repurpose established drugs for rare diseases. Many genetic diseases result from increased or decreased protein activity and identification of clinically approved drugs which moderate this pathogenic dosage holds therapeutic potential. To identify such agents for neurogenetic diseases, we have generated genome-wide transcriptome profiles of mouse primary cerebrocortical cultures grown in the presence of 218 blood brain barrier penetrant clinic-tested drugs. RNAseq and differential expression analyses were used to generate transcriptomic profiles; therapeutically relevant drug-gene interactions related to rare neurogenetic diseases identified in this fashion were further analyzed by qRT-PCR, western blot and immunofluorescence. We have created a transcriptome-wide searchable database for easy access to the gene expression data resulting from the cerebrocortical drug screen (Neuron Screen) and have mined this data to identify a novel link between thyroid hormone and expression of the peripheral neuropathy associated gene Pmp22. Our results demonstrate the utility of cerebrocortical cultures for transcriptomic drug screening, and the database we have created will foster further discovery of novel links between over 200 clinic-tested blood brain barrier penetrant drugs and genes related to diverse neurologic conditions. Overall design: mRNA differential expression profiles of mouse primary cortical cultures treated individually with 218 clinic-tested drugs and 9 vehicle treated samples, 1 replicate performed per drug. Less...