Computational screening of potential glioma-related genes and drugs based on analysis of GEO dataset and text mining.

ABSTRACT:

Background

Considering the high invasiveness and mortality of glioma as well as the unclear key genes and signaling pathways involved in the development of gliomas, there is a strong need to find potential gene biomarkers and available drugs.

Methods

Eight glioma samples and twelve control samples were analyzed on the GSE31095 datasets, and differentially expressed genes (DEGs) were obtained via the R software. The related glioma genes were further acquired from the text mining. Additionally, Venny program was used to screen out the common genes of the two gene sets and DAVID analysis was used to conduct the corresponding gene ontology analysis and cell signal pathway enrichment. We also constructed the protein interaction network of common genes through STRING, and selected

SUBMITTER: Jiang Z 

PROVIDER: S-EPMC7909668 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature