Furthermore, among the stress response proteins, comprising both up- and down-regulated proteins, it was suggested by Westman et al. that a more plausible explanation for the apparent osmotic stress response is a crosstalk between nutrient starvation and other environmental stress responses. In our network analysis, this hypothesis could be visualized by the broad spectrum of connections among the stress response clusters with other clusters in the network. For the metabolomics analysis,Trichilinin we used as an example the work by Fong et al., which described the metabolome of the human normal ovary and its transformation in primary epithelial ovarian cancer and metastatic ovarian cancer. In the context of oncogenesis and the importance of a comprehensive metabolic analysis of solid tumors to reveal possible biomarkers for early diagnosis and monitoring of cancer progression and recurrence, IIS was used to build two comparative networks: one for the up and down-regulated metabolites in EOC and the other one for the up and down-regulated metabolites in MOC. First, we converted the metabolitenames to HMDB IDs and uploaded a single two-column TXT file containing both the up- and down-regulated metabolites for each condition,β-Sitosterol as a list of HMDB IDs and respective fold change values, in the ‘‘Module 2: Search’’ tab inside each project. Then the retrieved metabolites were selected and added to the project, and used as queries to build the networks in the ‘‘Module 4: Interactome’’ tab, setting expression analysis parameters to consider fold change $1.2 as up-regulated and fold change #21.2 as downregulated metabolites, as described by Fong et al.. The network was visualized and manipulated using the Cytoscape software. Figure 5 shows the interactomes of EOC and MOC built from the metabolome data. Our new analysis using IIS showed similar metabolic pathways as described before, and also other signaling and metabolic pathways enriched among the up and down-regulated metabolites.In order to reduce complexity, the metabolites in only a few metabolic pathway clusters, since they are the ones containing interacting proteins with the best enrichment p-values, although the metabolites are also connected to the other clusters by interactions with different proteins.