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Analysis based on TIMER database Gene module and Diff Exp module within TIMER database were used to assess to analyze the correlative expression of TGFBI with different EMT modulators identified by proteomics on 303 serous ovarian cystadenocarcinomas

To identify candidate genes, an intersection analysis was performed between the differentially expressed genes (DEGs) and the key module genes obtained through weighted gene co-expression network analysis

Retrieved November 7, 2018

Gene Expression Modulation Transcriptomic analyses in cellular models have shown that GHK-Cu influences expression of a remarkably wide set of genes, with reported effects on pathways involved in: Extracellular matrix remodeling DNA repair Antioxidant response Inflammatory signaling Stem cell signaling markers This broad transcriptional footprint has been one of the most studied aspects of GHK-Cu in recent years