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. 2017 Sep 8;5:99–118. doi: 10.7150/jgen.22060

Figure 2.

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Figure 2

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Figure 2

Figure 2

Enrichment analysis of microRNA for Pathway Maps, Gene Ontology, Disease by Biomarker, and Network processes in ACC. MetaCore pathway analysis of miRNA expression differences between ACC and ACA samples. Differentially expressed miRNA data were uploaded to MetaCore servers and the most significantly affected pathways were analyzed. A: Pathway Maps: Canonical pathway analysis showed most of the miRNAs that were affected involved the oncogenic signature. B: GO Biological Process: The most affected Biological Processes involved cellular responses to amino acid synthesis. C: Disease status: Significantly affected miRNAs in disease status included adeno and renal cell carcinoma. D-F: Enrichment analysis of top pathway: The top three signaling pathways involved in colorectal cancers, analyzed by MetaCore software. In up‑ward thermometers, red indicates up‑regulated signals and down‑ward (blue) indicates down‑regulated expression levels of genes. G: Top 10 pathways enriched along with network objectives from the active miRNA data. H-J: Biological network analysis: miRNA differentially expressed data were analyzed for the biological networks involved in ACC, top three regulated biological networks are shown in I, J and K. This is a variant of the shortest paths algorithm with main parameters of enrichment with enriched miRNAs prioritized based on the number of fragments of canonical pathways on the networks. Up‑regulated genes are marked with red circles and down‑regulated with blue circles. The 'checkerboard' color indicates mixed expression for the gene between files or between multiple tags for the same gene.