Table 3

Significant KEGG identifiers detected based on the differentially expressed genes between three studies of E. coli infection in the bovine udder*

KEGG ID

P value

Odds Ratio

Exp Count

Count

Size

Term


4062

6.05E-08

6.785196

2.70837

15

106

Chemokine signaling pathway

4670

1.73E-06

7.273962

1.839648

11

72

Leukocyte transendothelial migration

4650

1.02E-05

7.646809

1.430837

9

56

Natural killer cell mediated cytotoxicity

4620

5.14E-05

7.058635

1.354185

8

53

Toll-like receptor signaling pathway

4060

0.00053

4.306462

2.350661

9

92

Cytokine-cytokine receptor interaction

4622

0.001365

6.982249

0.843172

5

33

RIG-I-like receptor signaling pathway

4514

0.002293

4.237402

1.839648

7

72

Cell adhesion molecules (CAMs)

4662

0.00231

6.105769

0.945374

5

37

B cell receptor signaling pathway

4920

0.003278

5.579882

1.022026

5

40

Adipocytokine signaling pathway

4210

0.01013

4.147677

1.328634

5

52

Apoptosis

4666

0.011834

3.977177

1.379736

5

54

Fc gamma R-mediated phagocytosis

4610

0.025259

3.88

1.124229

4

44

Complement and coagulation cascades

561

0.027695

5.044241

0.664317

3

26

Glycerolipid metabolism

4142

0.038281

2.85764

1.865198

5

73

Lysosome

4630

0.040239

2.815796

1.890749

5

74

Jak-STAT signaling pathway


*A hypergeometric gene set enrichment test was performed based on overlapping genes between the study described in this paper, Mitterhuemer et al. [14], and Rinaldi et al. [15]. Overrepresentation of gene sets defined by the KEGG database was tested using the Fisher's exact test. A gene set was considered significant if P < 0.05.

Buitenhuis et al. BMC Genomics 2011 12:130   doi:10.1186/1471-2164-12-130

Open Data