Fig 1. In silico identification of ELAVL-1/HUR as a potential regulator of GSK3β.

(A) Gene expression data sets from the Cancer Cell Line Encyclopedia (CCLE) and UT Southwestern Medical Center (UTSW) were analyzed independently to find genes correlated to GSK3β expression. We identified 120 common transcripts with correlation coefficient |r|> 0.55 in both lung cell data sets (B) Gene network analysis based on previously known direct (solid lines) and indirect (dashed lines) biological connections for the identified transcripts with a positive (red) and negative correlation (green) r-value >0.55) to GSK3β expression in two, independent lung cancer cell line datasets.