| 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)