. Author manuscript; available in PMC: 2019 Jan 1.

Published in final edited form as: Arterioscler Thromb Vasc Biol. 2017 Sep 7;38(1):49–63. doi: 10.1161/ATVBAHA.117.309795

Table 1. Bioinformatic pathway analysis of the most significantly up-regulated miRNAs from atherogenic EVs.

miRSystem (http://mirsystem.cgm.ntu.edu.tw/) was used and listed here are the most enriched pathways, including how many miRNAs (out of 10) are predicted to target the pathway. A gene is considered as a potential target of a miRNA using at least 3 prediction algorithms.

	Predicted pathways	Target Genes of Interest	# miRNAs targeting pathway (/10)
Pathways Predicted to be targeted by dysregulated miRNAs	Leukocyte Transendothelial Migration	PI3 kinase receptor 1, RhoA, ROCK1, ROCK2, PECAM, Cadherin 5, Cdc42, Protein kinase C-β	7
	Cell Adhesion Molecules	PTEN, PI3 kinase R1, Cell adhesion molecule 1 (CADM1), Cadherin 5, VEGFA, Collagen 1α2, Collagen 4α6, CD34	6
	Regulation of Actin Cytoskeleton	Fibronectin, FGF1, FGFR1, FGF12, Actinin alpha 1 (ACTN1), Actinin α4 (ACTN4), Integrin α3	7
	Axon Guidance	DCC, UNC5C, Eph receptor A7 (EPHA7), Netrin G1, Semaphorin 3A, Semaphorin 6A, Eph receptor B2 (EPHB2), Eph receptor B1, ROBO1	7
	Chemokine Signaling Pathway	CX3CL1, CXCL12, CXCL2, CXCR4, LYN, STAT5B, ELMO1	7