Journal of Proteomics & Bioinformatics
Open Access
ISSN: 0974-276X
ISSN: 0974-276X
Department of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075, India
Research Article
Identification of Potential Key Genes Associated with GBM using Computational Methods
Author(s): Donthula Niveditha* and M Jahanavi
Glioblastoma multiforme (GBM) is a malignant tumor affecting the brain or spine, is a fast growing and
aggressive brain tumor. There is a need to identify novel targets in GBM to improve our understanding of
disease biology and that can be used for developing new therapeutics. Hence, the aim of our study was to
explore key genes which are associated with GBM using computational methods. In the present study, we have
constructed an interaction network of 159 genes in GBM. 13 out of 159 genes were selected as hub genes using
topological analysis methods i.e. CYTOHUBBA and MCODE. Functional enrichment analysis for these 13
genes were performed using DAVID and found that the genes were enriched in various functions and pathways
among which regulation of apoptotic process, cell proliferation were the most associated with it. Gene ontology
analysis reveals that 14, 1.. View More»