Additional targets with NGF-dependent increase in p53 occupancy, but where p53-dependent transactivation could not be clearly determined using anti-p53 shRNA expressing cell lines

<p><b>Copyright information:</b></p><p>Taken from "NGF-mediated transcriptional targets of p53 in PC12 neuronal differentiation"</p><p>BMC Genomics 2007;8():139-139.</p><p>Published online 31 May 2007</p><p>PMCID:PMC1894799.</p><p></p> Panels A-C show site-specific qPCR ChIP results on left with standard deviation, where significance at p ≤ 0.05 is designated by an asterisk (*). GAPDH controls in Figure 7 also apply to gene expression analyses in Figure 8. Note the p53-occupied sequence in Panel A lies between genes which were both examined for changes in expression. Display and analyses are as described in Figure 4 legend

Hierarchical clustering of animals in the medium dose/6 hour group using SVM-derived classifiers

Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidean distance as the similarity metric was performed on all of the animals in the medium dose/6 hour group using the liver expression values for the 160 transcripts identified as compound classifiers for this dose/time group by a SVM algorithm. The degree of relatedness between each sample is represented by the dendrogram (hierarchical tree) presented in this figure, wherein the height of each branch represents the distance between the two objects being connected.<p><b>Copyright information:</b></p><p>Taken from "Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype"</p><p>http://genomebiology.com/2008/9/6/R100</p><p>Genome Biology 2008;9(6):R100-R100.</p><p>Published online 20 Jun 2008</p><p>PMCID:PMC2481421.</p><p></p

Hierarchical clustering of animals in the low dose/6 hour group using SVM-derived classifiers

Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidean distance as the similarity metric was performed on all of the animals in the low dose/6 hour group using the blood expression values for the 160 transcripts identified as compound classifiers for this dose/time group by a SVM algorithm. The degree of relatedness between each sample is represented by the dendrogram (hierarchical tree) presented in this figure, wherein the height of each branch represents the distance between the two objects being connected.<p><b>Copyright information:</b></p><p>Taken from "Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype"</p><p>http://genomebiology.com/2008/9/6/R100</p><p>Genome Biology 2008;9(6):R100-R100.</p><p>Published online 20 Jun 2008</p><p>PMCID:PMC2481421.</p><p></p

PCA of transcripts identified as differentially expressed across the 'Response to hepatocellular injury' category in blood

Blood expression data from the 30 transcripts identified as differentially expressed across the Response to hepatocellular injury category from all 318 treated rats were subjected to PCA. The first principal component is represented by the x-axis, while the second principal component is represented by the y-axis. Each individual animal is represented as a circle and the relationship between the color of the circle and the categorical scores for the Response to hepatocellular injury is illustrated in the key.<p><b>Copyright information:</b></p><p>Taken from "Gene expression response in target organ and whole blood varies as a function of target organ injury phenotype"</p><p>http://genomebiology.com/2008/9/6/R100</p><p>Genome Biology 2008;9(6):R100-R100.</p><p>Published online 20 Jun 2008</p><p>PMCID:PMC2481421.</p><p></p