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Dataset Information

Expression and Bioinformatics-Based Functional Analysis of UAP1 in Lung Adenocarcinoma.


ABSTRACT:

Background

Lung adenocarcinoma (LAD) is the most prevalent type of lung cancer. The abnormal expression of UDP-N-acetylglucosamine pyrophosphorylase 1 (UAP1) has been reported to be involved in many biological processes of cancer cells, but the expression of UAP1 in LAD is unclear.

Methods

Bioinformatics was used to analyse the LAD gene expression data and related clinical data in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. DAVID6.8 was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) signal pathway enrichment analyses of UAP1 expression-related genes. The STRING database was used to analyse protein-protein interaction (PPI) networks. RNA isolation and reverse transcription-quantitative polymerase chain

SUBMITTER: Wang X 

PROVIDER: S-EPMC7701148 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature