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