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