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ABSTRACT: Background
Intervertebral disc degeneration (IDD) is widely known as the main contributor to low back pain which has a negative socioeconomic impact worldwide. However, the underlying mechanism remains unclear. This study aims to analyze the dataset GSE23130 using bioinformatics methods to identify the pivotal genes and pathways associated with IDD.Material/methods
The gene expression data of GSE23130 was downloaded, and differentially expressed genes (DEGs) were extracted from 8 samples and 15 controls. GO and KEGG pathway enrichment analyses were performed. Also, protein-protein interaction (PPI) network was constructed and visualized, followed by identification of hub genes and key module.Results
A total of 30 downregulated and 79 upregulated genes were identifie
SUBMITTER: Hu S
PROVIDER: S-EPMC7465721 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature