­
­
­
­

Inventi Impact: Bioinformatics

Articles

  • Inventi:ebi/33132/20
    Developing the Novel Bioinformatics Algorithms to Systematically Investigate the Connections Among Survival Time, Key Genes and Proteins for Glioblastoma Multiforme
    Research 2021 : January - March
    Yujie You, Xufang Ru, Wanjing Lei, Tingting Li, Ming Xiao, Huiru Zheng, Yujie Chen, Le Zhang

    Background: Glioblastoma multiforme (GBM) is one of the most common malignant\nbrain tumors and its average survival time is less than 1 year after diagnosis.\nResults: Firstly, this study aims to develop the novel survival analysis algorithms to\nexplore the key genes and proteins related to GBM. Then, we explore the significant\ncorrelation between AEBP1 upregulation and increased EGFR expression in primary\nglioma, and employ a glioma cell line LN229 to identify relevant proteins and\nmolecular pathways through protein network analysis. Finally, we identify that AEBP1\nexerts its tumor-promoting effects by mainly activating mTOR pathway in Glioma.

    How to Cite this Article
    Attribution/ CC Compliant Citation:You, Yujie, et al. \"Developing the novel bioinformatics algorithms\nto systematically investigate the connections among survival time, key genes and proteins for\nGlioblastoma multiforme.\" BMC bioinformatics 21.13 (2020): 1-14.\nhttps://doi.org/10.1186/s12859-020-03674-4\nhttp://creativecommons.org/licenses/by/4.0/\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting\nthis article.
    Download Full Text