Table 2A. A selection of genes differentially expressed between NLPHL and THRLBCL (P<0.001)  expressed at higher levels in NLPHL

Supplementary Table 1a. Gene expression signatures of NLPHL

Supplementary Table 5. Expression values of T cell genes

Supplementary Table 1b. Gene expression signatures of THRLBCL

Table 2B. A selection of genes differentially expressed between NLPHL and THRLBCL (P<0.001)  expressed at higher levels in THRLBCL

Supplementary Table 1; Statistical analysis identified 302 probesets whose intensity changed significantly following AP-2 gamma silencing (FDR corrected; P < 0.01). This represented 254 distinct genes  of which 190 genes were down-regulated and 64 genes were up-regulated

Table 1 Summary of differentially expressed genes in siRNA-LATS1/2-treated HeLa cells

Table 2. List of cytokines with transcripts upregulated by 10??m BrdU+DMA

Table 1. List of ISGs with transcripts upregulated by 10??m BrdU+DMA

Supplementary Table 1. Induction of mRNA levels of 84 genes measured by RT2 Profiler PCR Array “Interferons and Receptors” in HeLa cells treated by 10 muM BrdU+DMA

Supplementary Table 2. Induction of mRNA levels of 84 genes measured by RT2 Profiler PCR Array “Common Cytokines” in HeLa cells treated by 10 muM BrdU+DMA

Table S3. Ser585 (a serine residue) differentially regulated genes; Data from the National Institute of Aging (NIA) 15K cDNAand Adelaide Microarray Facility (AMF) 21K oligonucleotide microarrays identified 138 genes of which 76 were common to both arrays

Fig1. TSA treatment alters miRNA expression profile in NALM-6 cells. Data are presented as the log2 (Hy5/Hy3) ratios  which passed the filtering criteria variation across samples from non-stimulated (n=3) and TSA-stimulated (n=3) samples.

Supplementary Table 3. Kinases overexpressed in ER-positive breast cancer

Supplementary Table 2: Kinases overexpressed in ER?negative breast cancer

Table 2. Kinases identified in analysis as most highly overexpressed in ER-negative tumors

Supplementary table 1- All kinases used in expression profiling