To visualize and probe deeper into the known functions of differentially expressed transcripts, we used the open source Cytoscape platform (Shannon et al. 2003) and MIST database (Hu et al. 2018) to identify proteins that interact with odor vs. trained transcripts of interest (Figure 4). By overlaying our data set information including expression level and fold change onto this network, we provided a foundation for prospective hypothesis-driven bioinformatic inquiries and experiments. Notably, Stat92E had the largest known network, including a number of proteins associated with nucleosome remodeling (HDAC1, brm, mor), transcriptional regulation (Taf1, Ada2b, kay, Jra, CG13510), and splicing (Cdc5, CG7564, tsu) (Figure 4).
