Analysis of the miRNA-mRNA-lncRNA networks in ER+ and ER- breast cancer cell lines.

ABSTRACT: Recently, rapid advances in bioinformatics analysis have expanded our understanding of the transcriptome to a genome-wide level. miRNA-mRNA-lncRNA interactions have been shown to play critical regulatory role in cancer biology. In this study, we discussed the use of an integrated systematic approach to explore new facets of the oestrogen receptor (ER)-regulated transcriptome. The identification of RNAs that are related to the expression status of the ER may be useful in clinical therapy and prognosis. We used a network modelling strategy. First, microarray expression profiling of mRNA, lncRNA and miRNA was performed in MCF-7 (ER-positive) and MDA-MB-231 cells (ER- negative). A co-expression network was then built using co-expression relationships of the differentially expressed mRNAs and l

SUBMITTER: Wu Q 

PROVIDER: S-EPMC4687702 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature