The analysis of a time-course transcriptome profile by systems biology approaches reveals key molecular processes in acute kidney injury.

ABSTRACT:

Background

Acute kidney injury is a common debilitating disease with no curative treatment. The recent development of big biological data is expected to expand our understanding of the disorder if appropriately analyzed to generate translational knowledge. We have here re-analyzed a time-course microarray data on mRNA expression of rat kidneys exposed to ischemia-reperfusion to identify key underlying biological processes.

Materials and methods

The dataset was quality controlled by principal component analysis and hierarchical clustering. Using limma R package, differentially expressed (DE) genes were detected which were then clustered according to their expression trajectories. The biological processes related to each cluster were harvested using gene ontology enrichment an

SUBMITTER: Moradzadeh K 

PROVIDER: S-EPMC6383344 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature