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