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Table 1 Significantly altered sub-functions. Ingenuity systems found 70 sub-functions in the Hematological system development function and 51 sub-functions in the Immune cell trafficking function. Fourteen sub-functions were found to be significantly decreased (i.e., z-score ≤ −2)

From: The omega-3 fatty acid docosahexaenoic acid favorably modulates the inflammatory pathways and macrophage polarization within aorta of LDLR−/− mice

Sub-functions annotation

Activation z-scorea

Cell movement of myeloid cells

−2.87

Cell movement of leukocytes

−2.58

Cell movement of peripheral blood leukocytes

−2.58

Cell movement of granulocytes

−2.54

Cell movement of PBMCs

−2.39

Cell movement of mononuclear leukocytes

−2.31

Cell movement of phagocytes

−2.26

Lymphocyte migration

−2.24

Chemotaxis of mononuclear leukocytes

−2.22

Chemotaxis of phagocytes

−2.20

Homing of mononuclear leukocytes

−2.20

Chemotaxis of myeloid cells

−2.12

Chemotaxis of leukocytes

−2.02

Homing of leukocytes

−2.00

  1. aIPA downstream effects analysis identifies functions that are expected to increase or decrease, given the observed gene expression changes the experimental dataset. Downstream effects analysis is based on the expected causal effects between genes and functions; the expected causal effects are derived from the literature compiled in the Ingenuity® Knowledge Base. The analysis examines genes in the dataset that are known to affect functions, compares the genes’ direction of change to expectations derived from the literature, and then issues a prediction for each function based on the direction of change. IPA uses the regulation z-score algorithm to make predictions. The z-score algorithm is designed to reduce the chance that random data will generate significant predictions. A negative z-score ≤−2 means that the sub-function is statistically significantly decreased