Novel piRNA Regulates PIWIL1 to Modulate the Behavior of Placental Trophoblast Cells and Participates in Preeclampsia

Figure 3

(a) Analysis of network topology for different soft-thresholding powers. The left panel shows the influence of soft-thresholding power (-axis) on the scale-free fit index (-axis). The right panel displays the influence of soft-thresholding power (-axis) on the mean connectivity (degree, -axis). (b) An eigengene dendrogram identified groups of correlated modules. (c) Eigengene adjacency heatmap of different gene coexpression modules. (d) Interaction of coexpression genes based on TOM dissimilarity and the cluster dendrogram of 1,000 randomly selected genes. The colors of the axes represent respective modules. The intensity of the yellow inside the heatmap represents the overlap degree of overlap, with a darker yellow representing an increased overlap. (e) Cluster dendrogram. Each color represents one specific coexpression module, and branches above represent genes. (f) Module-trait relationship heatmap for different traits and gene modules. Values in the figure indicate the correlation coefficient between modules and clinical traits. Values in brackets are the values for the association test. (g) Barplot of mean gene significance across modules. In this example, we use a trait-based gene significance. The higher the mean gene significance in a module, the more significantly related the module is to the clinical trait of interest.

(a) Soft-thresholding power analysis

(b) Eigengene dendrogram

(c) Eigengene adjacency heat map

(d) Network heatmap plot

(e) Gene dendrogram and module colors

(f) Module trait relationships

(g) Gene significance across modules value = 3.1-150