Volume 11 - Volume 11
Identification of Novel Gene Expression Patterns and Pathways Involved with SOX17 Gene Dysregulation in Cholangiocyte and Cholangiocarcinoma
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.
Author's Name: L.K. Reddy C, D. Macrin
Volume: Volume 11
Issues: Volume 11
Keywords: Biomarker, Gene Expression Omnibus, Differentially Expressed Genes, STRING Analysis, Novel Molecular Mechanism, Molecular Biology, Genetic Analysis, Gene Expression.