Microarray meta-analysis to explore abiotic stress-specific gene expression patterns in Arabidopsis.

ABSTRACT:

Background

Abiotic stresses are the major limiting factors that affect plant growth, development, yield and final quality. Deciphering the underlying mechanisms of plants' adaptations to stresses using few datasets might overlook the different aspects of stress tolerance in plants, which might be simultaneously and consequently operated in the system. Fortunately, the accumulated microarray expression data offer an opportunity to infer abiotic stress-specific gene expression patterns through meta-analysis. In this study, we propose to combine microarray gene expression data under control, cold, drought, heat, and salt conditions and determined modules (gene sets) of genes highly associated with each other according to the observed expression data.

Results

By analyzing the ex

SUBMITTER: Shen PC 

PROVIDER: S-EPMC5432924 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature