Fig. 1

WGCNA of mouse microglial transcriptome identifies co-expression modules with distinct AD pathology-associated inflammatory profiles. a Three transcriptomic microarray datasets containing 43 arrays derived from CD11b⁺ mouse microglia were normalized, batch-corrected and used in a WGCNA meta-analysis. Datasets included microglia polarized in-vitro to M1-like (LPS) or M2-like (IL4) states, acutely isolated microglia from WT, 5xFAD, Trem2−/− and 5xFAD/Trem2−/− mice, and from WT and APP/PS1 transgenic mice. b WGCNA identified 19 distinct modules (networks) of highly co-expressed genes (See Additional file 1: Table S1). c Cluster dendrogram showing the 19 microglial modules and trait correlations with inflammatory status (LPS or IL4) and AD pathology (5xFAD or APP/PS1 vs. wild-type). d Comparison of expression of module eigengene for 4 modules of interest, across treatment conditions/traits (Hub gene members are shown in descending order of module membership or k_ME)