Getting poster data...
Kaspi A., Kobow K., Harikrishnan K. N., Ziemann M., Khurana I., Blümke I., & El-Osta A. (Department of Diabetes, Central Clinical School, Monash University, Melbourne, Australia; Department of Neuropathology, University Hospital Erlangen, Schwabachanlage, Germany)Using mRNA and epigenomic sequencing data from the same experiment, we seek to understand the nature of their relationship under experimental conditions. Using transcription factor gene sets derived from ENCODE, we can infer which gene sets are associated with changes in mRNA or an epigenomic mark. By combining these transcription factor gene sets with multi-dimensional analysis we can propose which transcription factor may be the link between the two data sets, or provide evidence for performing other sequencing experiments. A ranked MANOVA test is used to identify the significantly enriched gene sets across multiple omics experiments. The 2D density plot of the gene set enrichment is designed be easy to understand by experimental biologists. Using a clinical Focal Cortical Dysplasia (FCD) epilepsy data set, we use the integrated analysis of DNA methylation and transcription to discover the relevance of another epigenomic mark, H3K27me3, to the disease.