Table 1. Top 10 networks generated using IPA for the “reprogrammed transcriptome in rhesus/bovine iSCNT (R/B iSCNT) 8- to 16- cell embryos.”.
ID | IPA Score | No. of Focus Molecules | Molecules in Top Network | Top Functions |
1 | 43 | 33 | ABTB2, ADNP, C22ORF28, CCR6, CD6, CX3CR1, EEA1, ELAVL2, GDI2, GM2A, GNL1, GPD2, ICEBERG, ICOSLG, IER2, KPNA3, M6PRBP1, MUC5AC, NR6A1, NUP50, OGN, PLP1, PRKAA, Rab5, RAB14, RAB5C, SCUBE1, SEPP1, STAP2, SUPT4H1, TNF, TNFRSF21, TUB, WTAP, ZBTB11 | Cellular Development, Cellular Growth and Proliferation, Hematological System Development and Function |
2 | 41 | 32 | AKT2, Alcohol group acceptor phosphotransferase, BAT5, CCR5, CDK6, CSK, Cytochrome c, FOXC1, FZR1, G3BP1, GMNN, GRK6, HIPK3, HM13, HOXA7, HOXB6 (includes EG:3216), HOXD10, Integrin, MAK, MAPK8, MBD1, MBD3 (includes EG:53615), NEDD9, NEUROD1, PAX6, PBX1, POU2F2, PRKAA1, PRKAA2, PRKCE, PTPN18, RREB1, RSBN1, SOX3, TOX4 | Organismal Development, Cancer, Reproductive System Disease |
3 | 41 | 32 | ALP, BCL2L1, BMP2, BRPF1, CBX3, CCNE1, CGGBP1, CHRDL2, CXORF15, E2f, EIF3A, FMR1, GBX2, GOLM1, GRIK5, HIST1H1E, HIST1H3B (includes EG:8358), MYB, NOTCH1, PAX9, PMP22, POU4F2, PRR11, RAG2, RGS32, RORA, SHH, SKP2, SND1, Stat3-Stat3, TCF3, TCF21, TFE3, ZFAND3, ZP1 | Cellular Growth and Proliferation, Cell Morphology, Hematological System Development and Function |
4 | 41 | 32 | ANAPC1, ARS2, ASXL2, BRD8, CLDND1, CROP, Cyclin B, ELL2, EZH2, GEMIN4, GTF3C1, Histone h3, ING3, KAT5, KIAA0265, KIAA1310, KPNA4, MED31, MNDA, MYBBP1A, NFE2, NOC2L, PBX3, PIN4, PNN, PRPF19, PRUNE, RBM33, RNA polymerase II, RRP1, SETMAR, TCEA1, TMPO, XIST, ZNF143 | Gene Expression, DNA Replication, Recombination, and Repair, Cell-To-Cell Signaling and Interaction |
5 | 38 | 31 | AIFM2, ANKH, ARPC1B, C14ORF106, CADM1, CDC14B, CITED1, CNOT4, Creatine Kinase, GADD45, GIGYF2, GTSE1, Jnk dimer, NBR1, PRKAB2, PSRC1, PVRL1, PVRL3, RBBP6 (includes EG:5930), RRN3, SMA4, SNRK, SNRPN, STAG1, STK17A, TAF1A, TP53, UBA6, UBE2, UBE2D2, UBE2E1, UBE2E3, UBE3A, WAPAL, ZNF84 | Developmental Disorder, Ophthalmic Disease, Cancer |
6 | 36 | 30 | ACY1, APAF1, BAG4, Caspase, CFLAR, CYCS (includes EG:54205), DEDD, DPPA2, DPPA4, FEM1B, Hsp70, Hsp90, HSPA6, HSPBP1, KHDC1, NLRP1, NLRP3, NOD1, NR3C2, OSBPL2, PDGF BB, PRPF4, RIPK2, RPS14, RYBP, SFRS1, SFRS7, SFRS10, Sphk, SRPK1, TNFAIP3, TRA2A, TRIOBP, U2AF2 (includes EG:11338), ZNF250 | RNA Posttranscriptional Modification, Cell Death, Cancer |
7 | 32 | 28 | CR2, DLK1, ERK, F11R, Fgf, FGF4, FGF9, FGF10, Fgfr, FGFR1, FGFR2, FRS2, GPR132, IL17RD, LAMA3, Mmp, MMP7, MMP11, MMP28, NGEF, NODAL, NTRK2, Opsin, PCSK7, PLC gamma, RABGEF1, RAPGEF2, SAG, SERPINA1, SLC35E1, SLC9A3, SPZ1, Tgf beta, TGFA, ZNF384 | Cellular Growth and Proliferation, Embryonic Development, Tissue Development |
8 | 32 | 28 | ARF6, ATF7IP, ATPase, BAT1, C2ORF13, CFD, Ck2, CSNK2B, CTSB, DDX19B, DHX8, FCGR1A/2A/3A, GGA1, KIAA1632, KRT13, KRT6B, MAX, MGA (includes EG:23269), MYH9, Myosin, Myosin Light Chain Kinase, NKX3-1, NPEPPS, PEX6, PIP5K1A, PTK2B, RAD51C, SENP3, SRPRB, STARD10, STXBP1, Tni, TRIM63, Tubulin, XPO7 | Gene Expression, Molecular Transport, RNA Trafficking |
9 | 30 | 27 | ALDH7A1, ALS2CR2, AMH, BCL2L2, Bmpr1, BMPR1A, Caspase 3/7, CDH22, CHRNA3, CHRNA9, COMMD1 (includes EG:150684), CRIM2, FGG, HLA-F, IL1F6, Jnkk, Map3k, MAP3K2, MAP3K3, MEKK, MTSS1, NAIP, NF-κB, NFkB, Nicotinic acetylcholine receptor, OLR1, PLK3, PTPRD, SNIP1, ST8SIA1, TAP2, WNK1, XIAP, ZAK, ZNF33A | Amino Acid Metabolism, Posttranslational Modification, Small Molecule Biochemistry |
10 | 30 | 27 | BNIP3L, CAMTA1, CD3, CD8, CD247, CD8A, CLCA2 (includes EG:9635), CNOT1, CNOT2, CNOT6L, ERN1 (includes EG:2081), GAB3, GCN1L1, GRAP2, IL18R1, IL18RAP, LAT, LDB3, MAPK8IP2, MEF2, MHC Class I, MYH3, NFAT complex, NFATC1, P38 MAPK, PTPRC, RINT1, SCN5A, SLC9A8, SOS2, SYK/ZAP, TAOK2 (includes EG:9344), TCR, TRA@, TRIM27 | Gene Expression, Hematological System Development and Function, Immune and Lymphatic System Development and Function |
IPA score = −(log (P value)); IPA score is associated with the significance of the selected gene network. The higher the score, the more chance that it is true (from IPA).