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Table 4 Analyze network' algorithm results for a plasma proteome from a mouse ovarian cancer model

From: Knowledge-based analysis of proteomics data

No

Network

GO Processes

Total nodes

Seed nodes

Pathways

p-Value

zScore

gScore

1

Factor H, APOF, Cathepsin Z, TIG2, SSB-2

positive regulation of cell adhesion (15.6%; 1.020e-08), regulation of biological quality (44.4%; 1.296e-08), response to inorganic substance (22.2%; 7.552e-08), wound healing (17.8%; 2.420e-07), anatomical structure morphogenesis (35.6%; 3.159e-07)

50

14

2

1.270E-29

54.15

56.65

2

Fetuin-A, IBP4, Thrombospondin 1, KNG, SERPINA3 (ACT)

response to wounding (39.6%; 8.503e-15), regulation of biological quality (54.2%; 2.556e-13), response to stimulus (72.9%; 3.053e-12), inflammatory response (29.2%; 3.365e-12), response to stress (52.1%; 1.913e-11)

50

14

0

2.470E-29

53.05

53.05

3

Calgranulin A, Calgranulin B, VCAM1, Cathepsin D, NOTCH2

positive regulation of cellular process (67.4%; 1.338e-15), response to stress (62.8%; 5.497e-15), positive regulation of biological process (67.4%; 1.566e-14), multicellular organismal process (83.7%; 5.605e-14), developmental process (74.4%; 9.693e-14)

50

13

0

8.090E-27

49.24

49.24

4

Thrombospondin 1, CNBP, AKR1C1, Coagulation factor XI, NOV

regulation of biological quality (58.8%; 1.894e-11), multicellular organismal process (79.4%; 8.590e-10), regulation of multicellular organismal process (44.1%; 1.560e-08), response to stress (50.0%; 7.234e-08), positive regulation of cellular component organization (23.5%; 1.432e-07)

50

11

2

3.690E-22

42.49

44.99

  1. An excerpt of AN network list (from MetaCore) constructed from the list of 58 proteins derived from a plasma proteome of a mouse ovarian cancer model. For a complete description of each column refer to network statistics please see "3.2.2. Prioritization of sub-networks".