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