An integrative approach to analyze microarray datasets for prioritization of genes relevant to lens biology and disease.

ABSTRACT: Microarray-based profiling represents an effective method to analyze cellular or tissue-specific gene expression on the genome-level. However, in comparative analyses between control and mutant samples, microarrays often identify a large number of differentially expressed genes, in turn making it challenging to isolate the select "high-priority candidates" that are most relevant to an observed mutant phenotype. Here, we describe an integrative approach for mouse mutant lens microarray gene expression analysis using publically accessible systems-level information such as wild-type mouse lens expression data in iSyTE (integrated Systems Tool for Eye gene discovery), protein-protein interaction data in public databases, gene ontology enrichment data, and transcription factor binding pr

SUBMITTER: Anand D 

PROVIDER: S-EPMC4500531 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature