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