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