Tables

KEA3 enrichment analysis results for each KEA3 library are displayed in table format. Low p-value and high rank (low numerical rank) indicates significant enrichment for overlap between the query set and a gene set in the library. All tables are searchable by kinase name. Click on protein names and overlapping protein counts to see more detailed information for each row.

Kinase-substrate interaction

Kinase enrichment analysis results for different kinase-substrate interaction libraries. By default, kinases are ranked from lowest Fisher's exact test (FET) p-values to highest, with higher ranking indicating more significant substrate overlap between the query set and gene sets in the library. False discovery rates (FDRs) were computed using the Benjamini-Hochberg correction.

Protein-protein interaction

Kinase enrichment analysis results for different protein-protein interaction libraries. By default, kinases are ranked from lowest Fisher’s exact test (FET) p-values to highest, with higher ranking indicating more significant substrate overlap between the query set and gene sets in the library. False discovery rates (FDRs) were computed using the Benjamini-Hochberg correction.

All associations

Networks

Human kinome regulatory networks were produced by applying Weighted Gene Co-expression Network Analysis (WGCNA) to the ARCHS4, GTEx, and TCGA datasets. Edges are hidden to avoid clutter. All data was quantile-normalized and filtered to include only protein kinases prior to WGCNA. Clustering was performed in Cytoscape with the Allegro Fruchterman-Reingold Force Directed Layout plugin. Kinases are colored by tissue type based on the highest correlation between the kinase and the parent WGCNA module.

ARCHS4

Data consisted of 100 random RNA-seq samples for each of 18 tissue types pulled from the ARCHS4 database. WGCNA module eigengenes were correlated to ARCHS4 sample labels, which can be viewed by selecting the "Tissue" tab.

GTEx

Data is from GTEx gene expression dataset. WGCNA module eigengenes were correlated to GTEx tissue sample labels, which can be viewed by selecting the "General tissue" and "Specific tissue" tabs.

TCGA

Data consisted of 100 samples from each of 96 cancer types from the TCGA database. WCGNA module eigengenes were correlated to TCGA tumor types, which can be viewed by selecting the "Tumor" tab.

Subnetworks

Kinase-kinase co-regulatory subnetworks showing the top-ranked kinases from enrichment results for each library.

Kinase-substrate interaction

Kinase co-regulatory networks constructed from top-ranked kinase enrichment results for various kinase-substrate interaction libraries. Directed edges indicate interactions supported by kinase-substrate evidence; undirected edges indicate protein-protein interaction or unspecified interaction evidence only. Hover over an edge to view libraries in which evidence for an interaction was found.

Protein-protein interaction

Kinase co-regulatory networks constructed from top-ranked kinase enrichment results for various protein-protein interaction libraries. Directed edges indicate interactions supported by kinase-substrate evidence; undirected edges indicate protein-protein interaction or unspecified interaction evidence only. Hover over an edge to view libraries in which evidence for an interaction was found.

All associations

Bar Charts

Bar charts displaying the -log(p-value) of top-ranked kinases from each library.

Kinase-substrate interaction

-log(p-values) of the top-ranked kinase results from performing enrichment analysis against various kinase-substrate interaction libraries.

Protein-protein interaction

-log(p-values) of the top-ranked kinase results from performing enrichment analysis against various protein-protein interaction libraries.

All associations

Clustergrammer