3883 I 3000 I13591 5050

Fig. 2 Identification of genes expressed in CD34+ marrow cells, which can distinguish between low-risk MDS, high-risk MDS, and healthy individuals. (From Ref. [9].) (a) Results represent the analysis by hierarchical clustering with Spearman's confidence correlation of 15 samples of CD34+ bone marrow cells. Eleven genes were selected to predict the class membership of each of the samples. Vertical: Each of the samples. Horizontal: Each of the 11 predictive genes. (b) Validation of the 11 predictive genes used to distinguish between high-risk and low-risk MDS by gene expression profiling. The 11 predictive genes were used for clustering analysis in a second data set obtained from CD34+ cells from patients with low-risk and high-risk MDS (test set). Two clusters corresponding to the IPSS classifications of ''high risk'' and ''low risk'' were found. No misclassification of any of the samples of the test set occurred, demonstrating the power of the selected genes for risk group prediction. No., sample number. Color code: blue, low expression; red, high expression. The intensity of the color reflects the reliability of the expression data. (View this art in color at www.dekker.com.)

To verify the power of the genes selected by class membership prediction, we used the 11 genes for hierarchical clustering with Spearman's confidence correlation (Fig. 2a). We generated three clusters. All of the controls (normal CD34+ cells) were in one cluster (with a maximum of two subclusters). Furthermore, all of the high-risk MDS and low-risk MDS were separated in different clusters with a maximum of three subclusters.[9]

In a second experiment, we have used the 11 predictive genes to do clustering analysis in a independent data set obtained from CD34+ cells from patients with low-risk and high-risk MDS (samples 3000-13591; Fig. 2b). The aim of this additional experiment was to evaluate the predictive power of the 11 selected genes in new series of patient samples. As shown in Fig. 2b, we found two clusters corresponding to the IPSS[11] classification ''high risk'' and ''low risk.'' No misclassification of any of the samples of the test set occurred, demonstrating the power of the selected genes for risk group prediction.

Getting Started With Dumbbells

Getting Started With Dumbbells

The use of dumbbells gives you a much more comprehensive strengthening effect because the workout engages your stabilizer muscles, in addition to the muscle you may be pin-pointing. Without all of the belts and artificial stabilizers of a machine, you also engage your core muscles, which are your body's natural stabilizers.

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