MAPK Signaling Pathway - Pathway Page
Name MAPK Signaling Pathway
Resource WikiPathways
Genes CACNA1S MRAS RELB IKBKG EGF JUND MAP2K6 BRAF CDC42 PPP3CA DUSP8 MYC MAPKAPK3 AKT2 MAPK8 MAPK3 MAPK7 PTPRR FGF5 NGF PDGFA MAP3K6 TAOK3 MAP4K4 ATF4 HSPA1A RPS6KA5 PRKACG TAB1 PPP3R2 CACNA1C CACNA2D4 DUSP9 PLA2G4E DUSP6 HSPB1 FGF10 TNFRSF1A PPM1A CACNA2D2 PRKCG MAP3K4 FGF18 PLA2G4B TP53 PPP5C CASP3 FGF3 TGFB1 MAPKAPK5 MAP4K3 MAPK12 PLA2G4A CACNA1A FAS RASGRP4 CACNG1 GADD45A MAP4K1 RRAS2 CACNA1E FLNB STK4 FGF20 RAPGEF2 RASGRF2 FLNA FGF19 CHUK MAP2K3 NFKB1 CRK TAB2 MAP2K1 FGF21 PRKACA SRF FASLG MAPK10 ELK4 DUSP10 PLA2G4F NRAS ECSIT MAX IL1R2 LRRK2 RASGRP1 STK3 CACNA1I MAP3K5 RAF1 DUSP1 DUSP7 CACNG2 MAP3K14 IL1A FGF9 MAP3K11 FLNC MAP2K2 CACNB4 RPS6KA4 SOS2 MAP3K7 IL1B FGF12 RAC2 FGFR1 FGFR3 DAXX DUSP4 CACNA1B CACNB3 MAP3K12 FGF2 STMN1 RAP1B CACNA2D1 MAPK8IP3 MEF2C MAPK11 CACNG7 PDGFRB PTPN5 FGFR4 CACNA1H TGFB2 MAP3K2 MAPK1 NTRK1 FGF1 BDNF RAP1A MAPK13 FGF7 PRKCD DDIT3 MKNK1 CACNG3 GRB2 TGFB3 PPM1B CACNA1G CACNA1D FGF4 DUSP2 MAP3K1 NTF3 MAPT MAP3K13 NR4A1 JUN RPS6KA3 TGFBR2 TRAF6 TNF CD14 HSPA1L MAPK9 MKNK2 ELK1 PPP3R1 HRAS PPP3CC CACNG5 HSPA1B RAC3 NFATC3 MAP3K20 MAPK8IP2 NFATC1 AKT3 GNA12 PTPN7 FGF17 EGFR NFKB2 MAPK14 RASA2 FGFR2 FGF14 CACNB1 FGF22 ATF2 PDGFB FGF13 TAOK2 NLK FGF16 MAP2K7 HSPA6 PPP5D1 MAP4K2 MAPKAPK2 TGFBR1 PLA2G4C RRAS MAP2K5 CRKL ARRB1 NTRK2 CACNG4 MIR935 CACNA1F PAK2 RAC1 MOS RASGRP3 FGF8 MIR4523 GNG12 TAOK1 RELA PAK1 FGF11 NTF4 SOS1 FGF23 CACNB2 PRKACB MAP3K8 RASA1 RASGRP2 IKBKB MAPK8IP1 PRKCA FGF6 PPP3CB DUSP16 LAMTOR3 ARRB2 TRAF2 DUSP3 CACNA2D3 HSPA8 CACNG6 CDC25B MAP2K4 HSPA2 IL1R1 AKT1 NF1 KRAS MIR3917 RASGRF1 PLA2G4D FOS CACNG8
Size 249
Hierarchy Landscape

The following plot represents the hierarchical landscape of 'MAPK Signaling Pathway'. 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.

Sub-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.