Table 2

Relevant biological functions identified from the annotation analysis

Category

P-value

Molecules


Lipid Metabolism

9.42E-05-2.56E-02

ABCA12, ABCA2, ABHD5, ACSBG2, ACSL1, ADF,ADIPOR2, ALDH1A1, AOX1,CD38, CEBPB,CETP, CTSS, DCI,DRD3,GOT2, GRB10,HMGCL, HTT,INSIG1, LASS4, LPAR1,LPIN1,MTMR6, MTMR7,PCTP, PDK4,PHYH, PIK3CD,PLA2G7, PNPLA2, PRKAG2, PSAP,RAB5A,SGPL1, SLC27A1,UCP3


Molecular Transport

9.42E-05-1.93E-02

ABCA12, ABCA2, ABHD5, ACSL1, ADFP, ADIPOR2,ALDH1A1, ARNTL,CD38, CEBPB,CETP, CTSS, DCI,DRD3, F3, GHR,GOT2,HCK, HTT,INSIG1, LASS4, LPAR1,LPIN1, NEB, P2RY2,PCTP, PIK3CD, PLN, PNPLA2, PSAP,SGK1, SLC27A1,TGFB2, TGFB3,TRPC3, UCN3, UCP3, UGP2,VWF


Small Molecule Biochemistry

9.42E-05-2.6E-02

ABCA12,ABCA2, ABHD5, ACSBG2, ACSL1,ADAM10,ADFP,ADIPOR2,ALDH1A1, ALDH6A1, AOX1,CD38, CEBPB,CETP, CTSS, DCI, DRD3,FOXO3, GHR,GLS,GOT2, GRB10,HMGCL,HTT,INSIG1, LASS4, LPAR1,MTMR6,MTMR7, NUDT3,PCTP, PDK4, PIK3CD,PLA2G7, PNPLA2,LPIN1, PHYH, PRKAG2,PRPS1, PRPS2, PSAP,RAB5A, RPIA,SGPL1, SLC27A1, TGFB2,TGFB3, UCN3, UCP3,UGDH,UGP2


Carbohydrate Metabolism

3.36E-04-2.6E-02

ABHD5, ADAM10, ADIPOR2,ALDH2, CEBPB,CETP, FOXO3, GHR, HTT,IMPA2,MTMR6, MTMR7,PCTP, PDK4, PIK3CD,PLA2G7, PRKAG2, PSAP,RAB5A, RPIA,SOCS3, TGFB2, TGFB3,UCN3, UCP3,UGDH, UGP2


Cell Death

3.36E-04 - 2.64E-02

ALDH1A1, ATPA1, BAG3, CD99, CDK2AP1, CEBPB, CTSS, DAPK1, DCN, FGF1, FGFR2, FOXO3, GHR, HTT, IL15, MCL1, NEFH, PAX5, PKN2, RGS4, SGK1, SGPL1, SIAH1, SPARC, SRF, TGFB2, TGFB3, TPM3


The biological interpretation of expressional data was performed using Ingenuity Pathway Analysis 7.0 (IPA, Ingenuity Systems Inc., Redwood City, CA). The genes included in the analysis were shown to be differential between F and L and/or between G+ and G- by either microarray or real-time RT-PCR. Genes are presented in alphabetical order for each category. The genes over expressed in muscles with high (F or G+) and low glycogen content (L and G-) are in bold and normal characters, respectively. Genes in italic were differentially regulated between models (F vs. L or G+ vs. G-).

Sibut et al. BMC Genomics 2011 12:112   doi:10.1186/1471-2164-12-112

Open Data