Fig. 1.
Identification of candidate RV-C receptors by gene expression analysis. (A) Venn diagrams showing the common receptor candidate genes identified in two series of microarray experiments after the filtering steps. The differentially expressed genes were filtered stepwise on the basis of the indicated criteria and the diagrams were generated by ArrayStar software v4.0 (DNASTAR). (B) Heat map showing clustering analysis of expression profiles of the 12 differentially expressed genes in primary cells, cell lines, and whole-tissue samples. Candidate genes selected for validation of RV-C receptor activity are shown in red. Expression intensity values were analyzed by hierarchical clustering of samples and genes using the Euclidean distance metric with centroid linkage method using ArrayStar software v4.0 (DNASTAR). Color bar represents gene expression intensity (log2 scale). See also Figs. S1 and S2 and Table S1.