Fig. 3: WGCNA analysis of R6/2 mouse snRNAseq data shows cell type-specific changes in network structure. | Nature Communications

Fig. 3: WGCNA analysis of R6/2 mouse snRNAseq data shows cell type-specific changes in network structure.

From: Huntington disease oligodendrocyte maturation deficits revealed by single-nucleus RNAseq are rescued by thiamine-biotin supplementation

Fig. 3: WGCNA analysis of R6/2 mouse snRNAseq data shows cell type-specific changes in network structure.

a Dendrogram and correlation heatmap showing cell type-specific co-expression modules. Heatmap shows modules highly correlated with each cell type, dendrogram shows clustering of neuronal module together and glial together. Cell color represents column min (blue) and max (orange). Any statistically significant trait-module correlations are shown with correlation value. P-values (Supplementary Data 3) are Student asymptotic p-values. b Top five GO terms per module, showing cell type-specific functional relevance. c Circos plots of the top 50 genes with highest kME in NT mice (left) and R6/2 (right). Red lines show connectivity between the top 50 genes. Structural differences can be seen between NT and R6/2.

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