Impact of methoxyacetic acid on mouse Leydig cell gene expression

Table 1 Top biological functions and networks affected by MAA

Name	p-value range	No. molecules
A. Top Biological Functions: Diseases and Disorders
Reproductive System Disease	3.45E-10 - 4.68E-04	160
Inflammatory Disease	1.76E-09 - 1.23E-03	507
Inflammatory Response	1.18E-08 - 1.77E-03	279
Connective Tissue Disorders	5.10E-07 - 1.23E-03	44
Skeletal and Muscular Disorders	5.10E-07 - 1.23E-03	516
B. Molecular and Cellular Functions
Cellular Movement	7.17E-12 - 1.81E-03	327
Cell-To-Cell Signaling and Interaction	3.03E-11 - 1.53E-03	333
Cellular Growth and Proliferation	3.74E-10 - 1.75E-03	492
Cellular Development	7.76E-08 - 1.81E-03	455
Cell Death	8.78E-07 - 1.69E-03	490
C. Physiological System Development and Function
Tissue Development	3.47E-10 - 1.53E-03	353
Cardiovascular System Development & Function	5.55E-08 - 1.56E-03	169
Organismal Development	5.55E-08 - 1.36E-03	240
Hematological System Development & Function	7.98E-08 - 1.75E-03	348
Immune Cell Trafficking	1.58E-07 - 1.77E-03	206
D. Associated Network Functions (top five gene network functions)
1. Reproductive System Development and Function, Embryonic Development, Tissue Morphology.
2. Infection Mechanism, Dermatological Diseases and Conditions, Organismal Injury and Abnormalities.
3. Carbohydrate Metabolism, Small Molecule Biochemistry, Molecular Transport.
4. Behavior, Nervous System Development and Function, Gene Expression.
5. Cardiovascular System Development and Function, Embryonic Development, Tissue Development.

Shown is a summary of results of Ingenuity Pathway bio-functional analysis to identify biological functions or disease networks that are most significant to the 5 mM MAA data set. Genes that met the threshold criteria defined in Materials and Methods and were associated with biological functions or diseases in the Ingenuity Pathway Analysis Knowledge Base were considered in the analysis. Each network includes a set of molecules, which usually perform more than one function. Fischer's exact test was used to calculate a p-value indicating the probability that each biological function and/or disease assigned to the data set is due to chance alone. Shown is the p-value range, which indicates the lowest and highest p-values corresponding to all molecules included in each network, and the total number of molecules present in the network.

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