Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis.

ABSTRACT:

Background

To identify critical genes and biological pathways in acute lung injury (ALI), a comparative analysis of gene expression profiles of patients with ALI + sepsis compared with patients with sepsis alone were performed with bioinformatic tools.

Methods

GSE10474 was downloaded from Gene Expression Omnibus, including a collective of 13 whole blood samples with ALI + sepsis and 21 whole blood samples with sepsis alone. After pre-treatment with robust multichip averaging (RMA) method, differential analysis was conducted using simpleaffy package based upon t-test and fold change. Hierarchical clustering was also performed using function hclust from package stats. Beisides, functional enrichment analysis was conducted using iGepros. Moreover, the gene regulatory network wa

SUBMITTER: Guo Z 

PROVIDER: S-EPMC4403757 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature