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. Author manuscript; available in PMC: 2015 Jul 9.
Published in final edited form as: Cell Host Microbe. 2014 Jun 26;16(1):115–127. doi: 10.1016/j.chom.2014.06.001

Figure 2. Transcriptomic analysis identifies molecular networks that correlate with DENV viral load.

Figure 2

(A) Heat map of probe sets (rows) and subjects (columns) ranked by VL (top), colors in map indicate relative gene expression. Right margin: probe sets with negative (blue) or positive correlation (red) to VL. P < 0.05 (Pearson). Frames: approximate range of top 1000 genes positively (red) or negatively (blue) correlated to VL used for analysis in B-E. (B and D) Top Ingenuity pathways that positively (B) or negatively (D) correlate with VL. Dotted line represents a cut-off value (−log p=2). (E and C) IPA analysis of positively (C) or negatively (E) VL correlated genes regulated by IFN-α (C) or XBP-1 (E). P < 0.05 (Pearson). (F) GSEA analysis of the whole blood transcriptome of acute dengue patients using cell-specific data sets. Normalized enrichment score (NES) indicates positive (NES>0, red bars) or negative (NES<0, blue bars) correlation of distinct cell-specific gene sets to VL. See also Figures S1 and S2, and Tables S3 and S4.