Research Paper Volume 10, Issue 12 pp 3745—3760

Figure 1. Identification of new TAp73 transcriptional targets. (a) Schematic workflow of putative TAp73 transcriptional target analysis; most influenced genes in H1299 (Amelio et al.) [65] and 293T (Marini et al.) [14] (shTAp73) were analysed by filtering ones more related with tumor biology; searching for previous evidence were done on PubMed (NCBI). Gene expressions effect on oncological patients survival and synergical effect with Tp73 on cancer outcome were analysed studying KM curves in all available datasets in web based online tool Syntarget. (b) mRNA levels of SPP1, TET2, CABLES1, JPH1, ATP7A were analysed by quantitative PCR after HA-TAp73 α and β overexpression. Relative expression of genes was normalized against TBP and calculated as fold change to the control treatment (empty vector, EV). Data is reported as mean ± s.d. of three experiments. * p < 0.05 (Student's T-test). (c) mRNA levels of genes of interest were analysed by quantitative PCR after siRNA-1 p73 and siRNA-2 p73 treatment. Relative expression of genes was normalized against TBP and calculated as fold change to the control treatment (siCTRL, Scr). Data is reported as mean ± s.d. of three experiments. *** p < 0.0001, ** p < 0.001, * p < 0.05 (Student's T-test).