Meta-Analysis of RNA-Seq Datasets Identifies Novel Players in Glioblastoma.

ABSTRACT: Glioblastoma is a devastating grade IV glioma with poor prognosis. Identification of predictive molecular biomarkers of disease progression would substantially contribute to better disease management. In the current study, we performed a meta-analysis of different RNA-seq datasets to identify differentially expressed protein-coding genes (PCGs) and long non-coding RNAs (lncRNAs). This meta-analysis aimed to improve power and reproducibility of the individual studies while identifying overlapping disease-relevant pathways. We supplemented the meta-analysis with small RNA-seq on glioblastoma tissue samples to provide an overall transcriptomic view of glioblastoma. Co-expression correlation of filtered differentially expressed PCGs and lncRNAs identified a functionally relevant sub-cluster co

SUBMITTER: Sallam M 

PROVIDER: S-EPMC9737249 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature