Identification of key genes and pathways at the downstream of S100PBP in pancreatic cancer cells by integrated bioinformatical analysis.

ABSTRACT:

Background

The aim of the present study was to identify key genes and pathways downstream of S100PPBP in pancreatic cancer cells.

Methods

The microarray datasets GSE35196 (S100PBP knockdown) and GSE35198 (S100PBP overexpression) were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were obtained separately from GEO2R, and heatmaps showing clustering analysis of DEGs were generated using R software. Gene Ontology and pathway enrichment analyses were performed for identified DEGs using the Database for Annotation, Visualization, and Integrated Discovery and Kyoto Encyclopedia of Genes and Genomes, respectively. A protein-protein interaction (PPI) network was created using the Search Tool for the Retrieval of Interacting Genes and Cytosca

SUBMITTER: Lu YJ 

PROVIDER: S-EPMC8799081 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature