Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis

ABSTRACT: Epidermal growth factor (EGF) is a key regulatory growth factor activating a myriad of processes affecting cell proliferation and survival that are relevant to normal development and disease. Here we have used a combined approach to study the EGF dependent transcriptome of HeLa cells. We obtained mRNA expression profiles using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, Febit, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer I (GA-I). By applying a procedure for cross-platform data meta-analysis based on rank product and global ancova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We used this robust gene list to build higher order networks of ge

ORGANISM(S): Homo sapiens

SUBMITTER: Lauro Sumoy 

PROVIDER: E-GEOD-17403 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress