PIP3 activates AKT signaling - Pathway Page
Name PIP3 activates AKT signaling
Resource Reactome
Genes IRAK4 JUN MBD3 XIAP PIK3CA HDAC1 HBEGF CASP9 MAPKAP1 PHC1 PSMD12 CREB1 FGF10 TNKS2 NR4A1 FGF1 CHUK PSMA6 PSMD6 RPTOR TNKS FGFR2 HGF STUB1 RRAGC PSMC4 GRB2 ATN1 TSC2 MAF1 MECOM USP13 LAMTOR3 AKT1 FGFR1 PSMA5 IL1RAP INS IER3 FRS2 TNRC6C PIK3R1 CSNK2B FGF6 RBBP4 PSMA2 FGF16 IRS2 PSMC6 FYN PSMD1 USP7 FGF3 SNAI2 CD80 PPP2R1B GSK3B EGFR FGF20 PPP2R5B FGF8 PIP4K2C RHEB RPS6KB2 PSMA3 BAD PSMD10 PIK3AP1 SCMH1 PDGFB CBX6 KDM1A IL33 PSMD7 AGO3 TNRC6B PSMD2 SALL4 PIK3R3 PTPN11 CHD4 VAV1 PSMC3 GATAD2A PSMC2 KITLG MTA3 MAPK3 NRG1 NRG3 CHD3 LAMTOR1 FGF17 PHC2 PSMA4 RPS27A PSMB6 PSME3 PIK3CD CBX4 MAPK1 PSMB2 BTC PSMD3 ESR1 GAB1 PSMA1 PSMA7 PHC3 EED PPARG KIT NRG4 PPP2CB FGF7 PPP2R5E TRIB3 MDM2 PSMD11 FRK EZH2 PSMB3 LAMTOR5 CSNK2A2 PTEN REST FGF5 HDAC3 PSMB4 WWP2 HDAC7 MYD88 EGF PSMC5 AKT1S1 PSMB5 AGO4 ESR2 PIK3R2 AKT2 PIP5K1A RICTOR FGF18 PSMB11 MKRN1 RCOR1 MLST8 PSMD14 FGF2 IRS1 MTA2 ERBB3 CSNK2A1 ICOS PSMF1 PSMD13 CBX2 FGF19 PPP2R5D PIP4K2A FGF9 PSMD5 SNAI1 CD86 TRAT1 PDGFA PIK3CB PSMD9 RBBP7 FGF4 FOXO4 CD28 PSMB7 IL1RL1 UBA52 CD19 PRR5 PSME2 ATF2 PHLPP2 TRIM27 LAMTOR4 ERBB2 FGFR3 NR2E1 UBC KL PSMD8 PSMA8 HDAC2 MTOR RRAGA PSMD4 PML PPP2R5C SEM1 GATAD2B PPP2R1A FGF23 PIP4K2B PIP5K1B PSMB1 GSK3A SUZ12 AGO2 PREX2 OTUD3 BMI1 PDGFRB CBX8 FOXO3 MET UBB PSME4 HDAC5 PIP5K1C PSMB8 NRG2 TRAF6 IRAK1 CDKN1B KLB TNRC6A THEM4 PSMC1 RRAGB CDKN1A RNF2 SRC EREG SLC38A9 AKT3 PHLPP1 AGO1 PSMB9 MTA1 RING1 INSR ERBB4 EGR1 PPP2R5A MOV10 LCK PDGFRA PDPK1 RNF146 NEDD4 LAMTOR2 PSMB10 FOXO1 PSME1 FGF22 TP53 RRAGD PPP2CA FGFR4
Size 256
Hierarchy Landscape

The following plot represents the hierarchical landscape of 'PIP3 activates AKT signaling'. 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.

Super-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.