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. 2019 Jun 10;9:8386. doi: 10.1038/s41598-019-44924-7

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Blood transcription module correlation networks in (a) protected and (b) non-protected subjects. Data derived from RNA-seq performed one day prior to second vaccination (I1 Day +27/I2 Day −1), one day prior to third vaccination (I2 Day +27/I3 Day −1), and one day prior to challenge (I3 Day +132/CHMI Day −1). Small circles represent low-level annotation modules, which are grouped by color into larger circles representing high-level annotation modules. Width of edge is proportional to Pearson correlation coefficient between two connected modules. Green edges indicate positive correlations, and red edges indicate negative correlations. Only correlations with an absolute Pearson coefficient >0.8 and false discovery rate <25% are shown. Not all edges between members of the same high-level annotation module could be shown. The number of significant edges for all modules (black) and adaptive modules (red) are shown to the lower-right of each network.