By Robert L. Strausberg
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Extra info for Disease Markers: Cancer Genomics
The database was informationally coherent in the sense that different harvests of the same cell line were more highly correlated with each other in expression pattern than were parallel harvests of different cell lines. That is, the signal-to-noise ratio was sufficiently high to permit meaningful clustering of the cell lines on the basis of their patterns of protein expression. For this purpose, the 2-D gel spots were quantitated in terms of spot "volume", intensity of staining integrated over the area of the computer-processed spot image.
Searching for pharmacogenomic markers: The synergy between omic and hypothesis-driven research 83 7. Organizing the literature on gene-gene and gene-drug correlations: MedMiner and EDGAR Fig. 4. Illustration of the principle of the clustered image map (CIM) for compact representation of high-dimensional data. Red in this case indicates high gene expression; blue indicates low expression. The clustering of like with like on both axes brings out pattern. ) See [13,14,28,33,35]. pertains to the simplest binary experiments in which, for example, a malignant cell type or tissue is compared with its normal counterpart.
WT1 on the other hand has far fewer alternatives but which are of extreme importance to the malignant process. 1. CD44 The CD44 gene generates a family of molecules consisting of many isoforms . CD44 proteins are single chain molecules comprising an N-terminal extracellular domain, a membrane proximal region, a transmembrane domain, and a cytoplasmic tail. The extracellular domain is glycosylated. CD44 is the principal hyaluronic acid (HA) receptor, although the molecule can bind other ligands, in some cases with low affinity.