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