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. Author manuscript; available in PMC: 2008 Feb 4.
Published in final edited form as: Circulation. 2007 Mar 12;115(12):1551–1562. doi: 10.1161/CIRCULATIONAHA.106.658641

Figure 1.

Figure 1

Principal component heat map analysis of the first 100 principal components representing 83% variability of 98 samples of different human cell types. Hierarchical cluster analysis was performed on transcriptome data derived from all samples in our database that were processed similarly by the 2-round amplification process and hybridized to HG-U133A or HG-U133 Plus 2.0 gene chips. Each principal component value for each sample is represented with a red, black, and green color scale. The dendrogram displays the clustering of samples according to their expression pattern and segregation of cell types of the same phenotype, thus revealing a distinct expression pattern for each of the cell types studied. HMVEC indicates human microvascular endothelial cells; BOEC, blood outgrowth endothelial cells; HUVEC, human umbilical vein endothelial cells; NHBE, normal human bronchial epithelial cells; PBMC, peripheral blood mononuclear cells; Act T, activated T lymphocytes; Rest T, resting T lymphocytes; and BAL, bronchoalveolar lavage cells.