Research Paper Volume 12, Issue 13 pp 12684—12702

Figure 1. GEO bioinformatics analysis predicting poorly expressed miR-145 in mice with Ang II-induced AAA. (A) a heatmap of the top 10 differentially expressed miRNAs obtained from the AAA-related microarray data GSE51226 downloaded from the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/); the abscissa represents sample number and the ordinate represents names of miRNAs; each small square in the figure represents the expression level of a miRNA in one sample, and the histogram in the upper right represents color grading; (B) representative images of the morphology of abdominal aorta specimens of the control ApoE^-/- mice and Ang II-induced AAA ApoE^-/- mice; (C) incidence of AAA in ApoE^-/- mice; (D) the maximum diameter of abdominal aorta in mice; (E) morphological changes of abdominal aorta in mice observed by HE staining (× 400); (F) α-SM-actin expression in SMCs in abdominal aorta determined using immunohistochemistry (× 400); (G) MOMA-2 expression in monocyte and SMCs in abdominal aorta determined using immunohistochemistry (× 400); (H) miR-145 expression measured using RT-qPCR; * p < 0.05 compared with ApoE^-/- mice; measurement data were depicted as the mean ± standard deviation; comparisons between the two groups were analyzed using an unpaired t-test; n = 10.