Figure 1.

Paired analysis of low- and high-spiking human neocortex reveals a cellular interactome. (A) Subdural arrays of electrodes placed on the cortex of a human epileptic patient are used to detect low and high interictal spiking areas. Total RNA from each of these areas was used in a quadruplicate dye-swap microarray design to identify differentially expressed genes. (B) The expression of the differentially expressed genes across all patients was used to build a cellular interactome to predict changes in cellular composition in low- versus high-spiking human neocortex. Each cluster of genes represents a different cell type and is displayed with a different colour, where each dot represents a single RNA transcript. The links shown between each gene in a given cluster had a Pearson correlation coefficient ≥0.95. Clusters are themselves clustered based on how closely they are statistically linked to each other. (-) refers to cell clusters that are downregulated.