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Dataset Information

Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma.


ABSTRACT:

Background

The aim of this study was to investigate the regulatory network of lncRNAs as competing endogenous RNAs (ceRNA) in bladder urothelial carcinoma (BUC) based on gene expression data derived from The Cancer Genome Atlas (TCGA).

Materials and methods

RNA sequence profiles and clinical information from 414 BUC tissues and 19 non-tumor adjacent tissues were downloaded from TCGA. Differentially expressed RNAs derived from BUC and non-tumor adjacent samples were identified using the R package "edgeR". Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using the "clusterProfiler" package. Gene ontology and protein-protein interaction (PPI) networks were analyzed for the differentially expressed mRNAs using the "STRING" database. The network for t

SUBMITTER: Wang J 

PROVIDER: S-EPMC6892182 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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