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. 2019 Feb 28;20:164. doi: 10.1186/s12864-019-5549-9

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 3 — Module markers can be used in a combinatorial code to distinguish between inflammatory states. a Differential expression of canonical M1 (Tnf, Il1b) markers upon stimulation with inflammatory stimuli. Log2 fold change relative to control. Error bars represent standard deviation. *p < 0.05. b Heatmap of module eigengenes for inflammatory stimuli. Only modules active in at least one condition are shown. Gray mask = n.s. compared to control, *p < 0.05. c Differential expression of module markers for BR_turquoise (Ifit3), PI_turquoise (Naaa), CY_turquoise (Clec4e), YE_turquoise (Irak3) modules in 24 h stimulus conditions. Log2 fold change relative to control. Error bars represent standard deviation. *p < 0.05. d Combinatorial code of hub gene induction for five different inflammatory stimuli. e Differential expression of module markers for BR_turquoise (Ifit3), PI_turquoise (Naaa), CY_turquoise (Clec4e), YE_turquoise (Irak3) modules in 72 h stimulus conditions. Log2 fold change relative to control. Error bars represent standard deviation. *p < 0.05. f Comparison of empirical and predicted induction of hub genes