Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

M Jahanavi

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»

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