Figure 5
Environment sensing gene sets are associated with the largest numbers of genes. A) Histogram of the number of gene sets associated with a given number of genes. The frequency of the gene set was based on how often the gene set appeared in the top five correlated gene sets for each gene. The Y-axis is log10-transformed. Inset is a Venn diagram showing the degree of overlap between the genes associated with the gene sets REACTOME_OLFACTORY_SIGNALING_PATHWAY and SHEN_SMARCA2_TARGETS_DN. B) Histogram showing the 10 most frequently represented GO pathways for genes associated with, but not members of, the gene sets REACTOME_OLFACTORY_SIGNALING_PATHWAY (dark colored bars) and SHEN_SMARCA2_TARGETS_DN (light colored bars). In bold are GO terms most closely related to environmental sensing. GO annotations are grouped into categories: cellular component (green), molecular function (red), and biological process (blue). Frequencies are based on the number of genes with a specific GO annotation versus the total number with GO Annotations (totals for REACTOME_OLFACTORY_SIGNALING_PATHWAY: CC, N=734; MF, N=642; BP, N=607; totals for SHEN_SMARCA2_TARGETS_DN: CC, N=705; MF, N=637; BP, N=596). Significant enrichment in GO categories was found for the olfactory* and Smarca2+ associated genes using the model-based gene set analysis (MGSA) approach, as described in the Methods.