Development of Multiscale Transcriptional Regulatory Network in Esophageal Cancer Based on Integrated Analysis.

ABSTRACT:

Objective

To explore multiscale integrated analysis methods in identifying key regulators of esophageal cancer (ESCA).

Methods

We downloaded the ESCA dataset from The Cancer Genome Atlas (TCGA) database, which contained RNA-seq data, miRNA-seq data, methylation data, and clinical phenotype information. Then, we combined ESCA-related genes from the NCBI-GENE and OMIM databases and RNA-seq dataset from TCGA to analyze differentially expressed genes (DEGs). Meanwhile, differentially expressed miRNAs (DEmiRNAs) and genes with differential methylation levels were identified. The pivot-module pairs were established using the RAID v2.0 database and TRRUST v2 database. Next, the multifactor-regulated functional network was constructed based on the above information. Additionally, ge

SUBMITTER: Xu Z 

PROVIDER: S-EPMC7441423 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature