Measuring the transcriptomic response to targeting kinases correlated with estrogen receptor activity in Breast Cancer

We undertook a phosophotranscriptomic network analysis of published patient tumour RNA-seq and phosphoproteomic data to identify kinases that correltated with Estrogen Receptor activity in Breast Cancer. The most sucessful canidates were selected for targeting by siRNA and the effects monitored by RNA-seq. The code for generation of the expression matrix is available from https://github.com/andrewholding/SimonaVIPER Overall design: Expression data characterising the effects of siRNAs targeting CAMK2D, CDK8, CSNK1A1, ESR1, GRB2, HIPK4, KSR1, LIMK1, MKNK2, NEK9 in both MCF7 and T47D.