Figure 2.

Glucocorticoid Receptor regulates its targets in a distal manner and its action depends on auxiliary transcription factors

(A) Function prediction graph that represents the glucocorticoid receptor (GR) activating/repressive effect on its target genes in human islets (top) and EndoC cells (bottom) using a set of predicted glucocorticoid responsive elements (GREs). Genes are ranked based on their regulatory potential from high to low and are subsequently cumulated. The red and purple lines indicate the differentially upregulated and downregulated genes in each dataset, respectively, and the dashed line represents the non-differentially expressed genes as background. P-values measure the significance of the difference between the upregulated/downregulated and the background gene distributions as determined by the Kolmogorov-Smirnov test.

(B) Number of total (positions 1 - 150000bp upstream and downstream) and distant (positions 3001-150000bp upstream and downstream) predicted GREs associated with the transcription start site of the upregulated and downregulated genes in each dataset.

(C) De novo motif discovery in all predicted GREs with the MEME Suite. Discovered motifs, the discovery/enrichment program that generated them, and their statistical significance as represented by E-values are shown. The E-value of each motif corresponds to an estimate of the number of motifs with the same width and the number of occurrences that would have an equal or higher log-likelihood ratios if the input sequences had been generated randomly according to the background model.