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. Author manuscript; available in PMC: 2012 May 15.
Published in final edited form as: J Proteomics Bioinform. 2011 Oct 30;4(10):196–209. doi: 10.4172/jpb.1000190
Cytoplasm
Reduced
1. Cancer, Gastrointestinal Disease, Genetic Disorder 58
2. Cellular Assembly and Organization, Protein Synthesis, Cell Death
3. Protein Synthesis, Cancer, Gastrointestinal Disease 30
4. Connective Tissue Disorders, Infammatory Disease, Skeletal and Muscular Disorders 25
5. Cell Morphology, Cardiovascular System Development and Function, Gene Expression 23
Oxidized
1. Cancer, Cellular Function and Maintenance, Embryonic Development 51
2. Cell Signaling, Post-Translational Modifcation, Protein Folding 39
3. Post-Translational Modifcation, Protein Folding, Cellular Compromise 37
4. Cellular Compromise, Cellular Development, Embryonic Development 31
5. Gene Expression, Cellular Assembly and Organization, Connective Tissue Disorders 22
Nuclei
Reduced
1. RNA Post-Transcriptional Modifcation, Gene Expression, Infection Mechanism 32
2. Molecular Transport, RNA Traffcking, Cellular Compromise 26
Oxidized
1. Cellular Assembly and Organization, Cancer, Cell Morphology 35
2. RNA Post-Transcriptional Modifcation, Cellular Assembly and Organization, Cellular Movement 35
Mitochondria
Reduced
1. Lipid Metabolism, Molecular Transport, Small Molecule Biochemistry 24
2. Genetic Disorder, Metabolic Disease, Cancer 14
Oxidized
Cellular Function and Maintenance, Cell Cycle, Reproductive System Development and Function 36

IPA-calculated signifcant score for each network is generated using a p-value calculation, and is displayed as the negative log of that p-value. This score indicates the likelihood that the assembly of a set of focus genes in a network could be explained by random chance alone. (Note provided by IPA: A score of 2 indicates that there is a 1 in 100 chance that the focus genes are together in a network due to random chance. Therefore, networks with scores of 2 or higher have at least a 99% confdence of not being generated by random chance alone. http://www.ingenuity.com/products/Monarch.NovelMolecularMechanisms_high.pdf)