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. 2013 Dec 15;14:354. doi: 10.1186/1471-2474-14-354

Table 1.

Gene ontology analysis of differentially expressed genes

Gene ontology term GO category Efron-Tibshirani’s GSA test p-value
Collagen/extracellular matrix association
 
 
Collagen binding
GO:0005518
< 0.005
Collagen metabolic process
GO:0032963
0.05
Collagen catabolic process
GO:0030574
0.035
Integrin complex
GO:0008305
< 0.005
Substrate-bound cell migration
GO:0006929
< 0.005
Negative regulation of cytoskeleton organization
GO:0051494
0.025
Nitric oxide/monooxygenase activity
 
 
Regulation of monooxygenase activity
GO:0032768
< 0.005
Regulation of oxidoreductase activity
GO:0051341
< 0.005
Regulation of nitric-oxide synthase activity
GO:0050999
0.005
Nitric oxide biosynthetic process
GO:0006809
0.015
Positive regulation of monooxygenase activity
GO:0032770
0.005
Nitric oxide metabolic process
GO:0046209
0.01
Regulation of nitric oxide biosynthetic process
GO:0045428
0.005
Regulation of calcidiol 1-monooxygenase activity
GO:0060558
0.005
Immune associated functions
 
 
B cell receptor signaling pathway
GO:0050853
0.015
Regulation of leukocyte mediated immunity
GO:0002703
0.02
Response to interferon-gamma
GO:0034341
0.005
Positive regulation of B cell activation
GO:0050871
0.04
Humoral immune response mediated by circulating immunoglobulin
GO:0002455
0.02
Myeloid cell activation during immune response
GO:0002275
0.01
Regulation of lymphocyte mediated immunity
GO:0002706
0.035
Muscle/myocyte/myofibroblast biology
 
 
Dystroglycan binding
GO:0002162
0.015
Myosin complex
GO:0016459
0.01
Muscle filament sliding
GO:0030049
0.02
Actin-myosin filament sliding
GO:0033275
0.02
Myosin II complex
GO:0016460
0.025
Actomyosin structure organization
GO:0031032
0.04
Regulation of myoblast differentiation
GO:0045661
0.03
Muscle myosin complex
GO:0005859
0.02
Myoblast differentiation
GO:0045445
0.02
Regulation of myotube differentiation
GO:0010830
0.015
Myotube differentiation GO:0014902 0.005

Gene ontology (GO) analysis was undertaken using BRB Array Tools. Significantly altered genesets were identified using Efron-Tibshirani’s Gene Set Analysis (GSA) test which tests which genesets contain more differentially expressed genes than would be expected by chance. The threshold of determining significant gene sets was 0.005.