Ontology highlight
ABSTRACT: Background
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that involves the death of neurons. ALS is associated with many gene mutations as previously studied. In order to explore the molecular mechanisms underlying ALS with C9orf72 mutation, gene expression profiles of ALS fibroblasts and control fibroblasts were subjected to bioinformatics analysis. Genes with critical functional roles can be detected by a measure of node centrality in biological networks. In gene co-expression networks, highly connected genes called as candidate hubs have been associated with key disease-related pathways. Herein, this method was applied to find the hub genes related to ALS disease.Methods
Illumina HiSeq microarray gene expression dataset GSE51684 was retrieved from Ge
SUBMITTER: Kotni MK
PROVIDER: S-EPMC5097384 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature