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. 2020 Jun 19;11:1246. doi: 10.3389/fimmu.2020.01246

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Copyright © 2020 Zhang, Le, Ahmad, Molehin, Siddiqui, Torben, Karmakar, Rojo, Sennoune, Lazarus, Khatoon, Freeborn, Sudduth, Rezk, Carey, Wolf, Papin, Damian, Gray, Marks, Carter and Siddiqui.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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RNA-Seq analysis of rSm-p80+GLA-SE, a recombinant protein vaccine strategy. (A) PBMCs after vaccination (Top) Gene ontology enrichment analysis represented as a pie graph of percentages of genes per group out of a total number of differentially expressed genes. “**” and “*” indicates P < 0.05 and P < 0.01, respectively. (Bottom) Canonical pathway analysis generated using IPA. Bars are plotted based on the – log10(P-value) and colored based on predicted activation (red) and deactivation/inhibition (blue) according to the Z-score, a composite assessment based on the degree of overlap between directional expression of genes from the observed data and the Qiagen-curated public database. The top 30 pathways are shown based on the lowest P-values. (B) PBMCs after challenge (Top) Gene ontology enrichment analysis. (Bottom) Canonical pathway analysis generated using IPA. (C) Spleen cells (Top) Gene ontology enrichment analysis. (Bottom) Canonical pathway analysis generated using IPA. (D) Mesenteric lymph node cells (Top) Gene ontology enrichment analysis. (Bottom) Canonical pathway analysis generated using IPA.