Gene Expression Music Algorithm-Based Characterization of the Ewing Sarcoma Stem Cell Signature

Figure 5

The stem cell signature of Ewing sarcoma biopsies. DNA microarray cel files from stem cells were processed as described in the caption of Figure 1. DNA microarray data from these stem cells were combined with a panel of microvasculature endothelial cells (HMEC) [20], microvasculature endothelial cells (HUVEC) [20], neuroblastoma cell lines (NBcl) [1], Ewing sarcoma cell lines A673, EW24, and SK-N-MC (EFTcl) [1, 3], neuroblastoma biopsies (NB) [2], Ewing sarcoma biopsies (EFT) [2, 3], and a panel of normal tissues of varying origin (NBA) [17]. Transformation into melodies was performed using the GEMusicA implementation in R. For this end, only the probe sets from the prefiltered stem cell signature from Figure 1 were used. The following parameters were used: , , , , , , , and . Presented is a cluster analysis of the GEMusicA-processed probe sets (Manhattan distance, complete linkage clustering).