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