MAPK1/MAPK3 signaling - Pathway Page
Name MAPK1/MAPK3 signaling
Resource Reactome
Genes CSF2RB DAB2IP DUSP1 FN1 RASGRP1 CDK1 SPRED3 DUSP8 HBEGF TLN1 TYK2 RAPGEF2 CAMK2D PSMD12 PTK2 FGF10 BRAF RAP1B FGF1 KRAS PSMA6 PSMD6 CUL3 KBTBD7 HRAS FGFR2 PEBP1 HGF DUSP2 PSMC4 GRB2 DUSP4 RASA3 PEA15 CALM1 LAT GFRA2 IL5 CNKSR1 SHC1 CSF2RA FGFR1 GRIN1 PSMA5 FGB LAMTOR3 FRS2 RAP1A FGF6 SYNGAP1 PSMA2 FGF16 PHB IRS2 PSMC6 FYN IL2 SPTBN5 PSMD1 IQGAP1 FGF3 PPP2R1B EGFR CSK MAP2K2 FGF20 PPP2R5B ITGA2B FGF8 PSMA3 ARTN RASGRP3 RASA4 PSMD10 PDGFB RAF1 CAMK2A PSMD7 SPTBN2 PSMD2 PTPN11 ARAF PSMC3 PSMC2 PTPRA KITLG MAPK3 NRG1 NRG3 FGF17 RASGRF2 PSMA4 SOS1 AKAP9 RPS27A ANGPT1 RASGRP4 SPRED2 PSMB6 PSME3 PSMB2 MAPK1 BTC SPRED1 PSMD3 PSMA1 PSMA7 GFRA3 DUSP6 FGA KIT NRG4 PPP2CB PAQR3 PPP2R5E FGF7 YWHAB GFRA4 PSMD11 SPTBN1 RANBP9 PSMB3 DUSP9 FGF5 SHC2 FGG PSMB4 CAMK2B GRIN2B DUSP16 NEFL ACTG1 RBX1 SPTBN4 EGF PSMC5 FLT3 PSMB5 DUSP7 DUSP10 SHC3 IL3 FGF18 IL5RA PSMB11 PSPN IL2RG RASGEF1A RASAL3 SPTB KSR1 PSMD14 IL17RD FGF2 MAP3K11 IRS1 RASAL2 ERBB3 GRIN2D RASGRF1 BRAP PSMF1 APBB1IP PSMD13 CNKSR2 ACTB RET DLG4 FGF19 PPP2R5D FGF9 PSMD5 DUSP5 CAMK2G MARK3 PDGFA PSMD9 IL6R RASA2 FGF4 PSMB7 UBA52 PSME2 RASAL1 JAK1 ERBB2 FGFR3 UBC KL PSMD8 PSMA8 CSF2 PSMD4 PPP2R5C SEM1 JAK3 FRS3 PPP2R1A IL6ST FGF23 FLT3LG PSMB1 JAK2 TEK NRTN GRIN2C IL6 VWF ARRB2 VCL PDGFRB UBB MET NCAM1 PSME4 RASA1 SPTAN1 SPTA1 IL2RA PSMB8 NRG2 KLB NRAS PSMC1 WDR83 GDNF SRC GFRA1 EREG ARRB1 KSR2 ITGB3 PSMB9 IL3RA PPP5C ERBB4 PPP2R5A PSMB10 PDGFRA GRIN2A FGF22 ACTN2 LAMTOR2 PSME1 NF1 IL2RB PPP2CA MAP2K1 FGFR4
Size 249
Hierarchy Landscape

The following plot represents the hierarchical landscape of 'MAPK1/MAPK3 signaling'. The hierarchical tree allows to click on the pathways with children (black border) and continue the exploration. All nodes are colored by their source (click on the map for the legend) and cross-link to the original pathway page.

Super-Pathways

About

ComPath is developed and maintained in an academic capacity by Daniel Domingo-Fernández and Charles Tapley Hoyt at the Fraunhofer SCAI Department of Bioinformatics. This web application relies on data loaded from KEGG, Reactome, and WikiPathways Restful APIs, as well as MSigDB. More information here.