| Popis: |
Aim: To deduce the genes, pathways and molecular mechanism involved in SOX17 dysregulation observed in Cholangiocarcinoma. Materials & methodology: In this study we use bioinformatics tools to analyze the metaomics of the microarray data retrieved from GEO database (Gene Expression Omnibus, Accession Number: GSE77984). Raw data obtained from the GEO databases were analyzed by using the GEO2R web analyzer tool, which derived all the differentially expressed genes (DEGs) via by comparing the miRNA expression between NHC (Normal Healthy Cholangiocytes) and CAA (Cholangiocarcinoma Cells) at various regulation levels of SOX17 protein. Results: Among all the samples of SOX17 activity, a total of 24975 genes among 15453 significant genes were identified. From the total genes 24 common genes, 5 highly interacted DEGS, and pathways corresponding to gene networks interlinked to CAA were identified. Conclusion: Using computational biology we have identified five molecular biomarkers for CAA which might provide additional insights in diagnosis and prognosis of Cholangiocarcinoma. |
