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Table 2 Functional analysis using GenMAPP of genes changed in response to the high sulforaphane diet in five week old PTEN null mice compared to the control diet.

From: The dietary isothiocyanate sulforaphane modulates gene expression and alternative gene splicing in a PTEN null preclinical murine model of prostate cancer

 

Number Changed*

Number Measured**

Adjusted P-value***

Amino acid metabolism

   

Mm_Metabolism-of-amino-acids-and-related-nitrogen-containing-molecules_Reactome-COREG

26

225

0.001

Mm_Valine-leucine-and-isoleucine-biosynthesis_KEGG-COREG

11

48

0.001

Mm_Glyoxylate-and-dicarboxylate-metabolism_KEGG-COREG

12

63

0.004

Mm_Glycine-serine-and-threonine-metabolism_KEGG-COREG

14

85

0.004

Mm_Catabolic-Pathways-for-Arginine-Histidine-Glutamate-Glutamine-and-Proline_BioCarta-COREG

12

67

0.004

Mm_Acetylcholine_Synthesis-COREG

11

57

0.004

Mm_Pyruvate-metabolism_KEGG-COREG

18

152

0.008

Mm_Urea-cycle-and-metabolism-of-amino-groups_KEGG-COREG

14

104

0.010

Mm_Urea_cycle_and_metabolism_of_amino_groups_KEGG-COREG

14

115

0.015

Mm_Butanoate-metabolism_KEGG-COREG

19

200

0.019

Mm_Oxidative-decarboxylation-of-pyruvate-and-TCA-cycle_Reactome-MEGINT

13

108

0.019

Mm_Propanoate_metabolism

4

13

0.02

Mm_Arginine-and-proline-metabolism_KEGG-COREG

17

176

0.02

Mm_Catabolic-Pathways-for-Methionine-Isoleucine-Threonine-and-Valine_BioCarta-COREG

5

22

0.026

Fatty acid metabolism

   

Mm_Fatty_Acid_Beta_Oxidation_3_BiGCaT-COREG

18

69

< 0.001

Mm_Fatty_Acid_Beta_Oxidation_Meta_BiGCaT-COREG

26

174

< 0.001

Mm_Fatty_Acid_Beta_Oxidation_1_BiGCaT-COREG

19

140

0.003

Mm_Fatty_Acid_Beta_Oxidation_3_BiGCaT

4

8

0.004

Mm_Fatty_Acid_Beta_Oxidation_3_BiGCaT-MEGINT

7

24

0.004

Mm_Fatty_Acid_Beta_Oxidation_Meta_BiGCaT

8

32

0.004

Mm_Unsaturated_Fatty_Acid_Beta_Oxidation_BiGCaT

3

6

0.009

Mm_Fatty_Acid_Beta_Oxidation_2_BiGCaT

3

6

0.009

Mm_Fatty_Acid_Synthesis_BiGCaT-COREG

14

103

0.009

Mm_Fatty_Acid_Beta_Oxidation_2_BiGCaT-COREG

8

38

0.009

Mm_Fatty_Acid_Beta_Oxidation_Meta_BiGCaT-MEGINT

11

82

0.020

Glucose metabolism

   

Mm_Glycolysis_and_Gluconeogenesis-COREG

22

204

0.008

Mm_Glutamate-metabolism_KEGG-COREG

19

165

0.008

Mm_Glycolysis-Gluconeogenesis_KEGG-COREG

20

217

0.019

Mm_Metabolism-of-glucose-other-sugars-and-ethanol_Reactome-COREG

21

248

0.020

Apoptosis

   

Mm_Opposing-roles-of-AIF-in-Apoptosis-and-Cell-Survival_BioCarta-COREG

12

50

< 0.001

Mm_HSP70_and_Apoptosis-COREG

12

68

0.007

Mm_Role-of-Mitochondria-in-Apoptotic-Signaling_BioCarta-COREG

12

70

0.008

Mm_Apoptosis_Reactome-COREG

12

76

0.009

Mm_Apoptotic-Signaling-in-Response-to-DNA-Damage_BioCarta-COREG

12

87

0.015

Mm_Induction-of-apoptosis-through-DR3-and-DR4-5-Death-Receptors _BioCarta-COREG

11

75

0.015

Mm_Caspase-Cascade-in-Apoptosis_BioCarta-COREG

11

95

0.059

Krebs-TCA cycle

   

Mm_Krebs-TCA_Cycle

11

29

< 0.001

Mm_Citrate-cycle-TCA-cycle_KEGG-COREG

26

167

< 0.001

Mm_Krebs-TCA_Cycle-COREG

30

216

< 0.001

Mm_Oxidative-decarboxylation-of-pyruvate-and-TCA-cycle_Reactome-COREG

20

124

< 0.001

Mm_Krebs-TCA_Cycle-MEGINT

17

153

0.011

Other

   

Mm_Electron_Transport_Chain-COREG

42

298

< 0.001

Mm_Shuttle-for-transfer-of-acetyl-groups-from-mitochondria-to-the-cytosol_BioCarta-COREG

18

100

< 0.001

Mm_Ceramide-Signaling-Pathway_BioCarta-COREG

13

77

0.004

Mm_Reductive-carboxylate-cycle-CO2-fixation-_KEGG-COREG

13

74

0.004

Mm_Malate-aspartate-shuttle_BioCarta-COREG

9

41

0.007

Mm_Nitrogen-metabolism_KEGG-COREG

13

81

0.008

Mm_Ribosomal_Proteins

11

63

0.008

Mm_Electron_Transport_Chain

11

66

0.009

Mm_Stress-Induction-of-HSP-Regulation_BioCarta-COREG

11

67

0.009

Mm_D4-GDI-Signaling-Pathway_BioCarta-COREG

11

71

0.011

Mm_Carbon-fixation_KEGG-COREG

19

187

0.015

Mm_Nucleotide-metabolism_Reactome-COREG

34

517

0.019

  1. Only pathways with adjusted P-values ≤ 0.05 are shown.
  2. *Refers to the transcripts from the input 286 transcript list (adjusted P ≤ 0.1) that are present in the specific pathway. **Refers to the total number of transcripts that are present in the pathway.***P-values were calculated in GenMAPP using a non-parametric statistic based on 2000 permutations of the data and further adjusted for multiple testing by Westfall-Young adjustment.