Identification of dysregulated miRNAs and their regulatory signature in glioma patients using the partial least squares method.

ABSTRACT: Using microarray data, the present study identified differentially expressed microRNAs (miRNAs) and evaluated their regulatory characteristics in high-grade glioma patients, with the aim to further the understanding into the underlying etiology of the condition. Previously, studies have generally implemented regression or variance analysis, which ignores various background biological factors. However, in the present study, analysis was performed with microarray data collected from the Gene Expression Omnibus database using a partial least squares-based method, which is more sensitive in handling microarray data. Among the six identified differentially expressed miRNAs, hsa-miR-21 and hsa-miR-612 have been previously reported to be associated with glioma. In addition, the remaining miRNAs,

SUBMITTER: Shou J 

PROVIDER: S-EPMC4247319 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature