Identification of differentially expressed microRNAs in metastatic melanoma using next-generation sequencing technology.

ABSTRACT: In this study, we investigated differentially expressed microRNAs (miRNAs or miRs) and their functions in metastatic melanoma using next-generation sequencing technology. The GSE36236 data set was downloaded from the Gene Expression Omnibus (GEO) database and 4 primary cutaneous melanoma samples (used as controls) and 3 metastatic melanoma samples were selected from 31 samples for further analysis. Firstly, the differentially expressed miRNAs were screened by limma package in R language. Secondly, the target genes of the miRNAs were retrieved with TargetScanHuman 6.2, and the interactions among these genes were identified by String and an interaction network was established. Finally, functional and pathway analyses were performed for the genes in the network using Expression Analysis Syste

SUBMITTER: Qi M 

PROVIDER: S-EPMC4020490 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature