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