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