115
Views
0
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Microarray Expression Profile and Bioinformatic Analysis of Circular RNA in Human Arteriosclerosis Obliterans

, , , , , , , & show all
Pages 913-924 | Received 29 Jul 2023, Accepted 16 Oct 2023, Published online: 24 Oct 2023

Figures & data

Figure 1 Analytical process of this study.

Figure 1 Analytical process of this study.

Table 1 The Most Significantly 5 Up-Regulated and 5 Down-Regulated circRNAs (Raw Density of the Normal Group ≥200) in Microarray Analysis

Table 2 The Primer Sequences Used for RT-qPCR (from 5’ to 3’)

Figure 2 (A and B) The histopathology features of HE and EVG stained normal and ASO arterial tissues sections. (C) Medial elastin destruction was graded as I (mild) to IV (severe).

Notes: Scale bar = 100 and 200 μm. Nonparametric Mann–Whitney test, *p < 0.05 NC vs ASO, n=3/group. EVG, Verhoeff’s Van Gieson.
Figure 2 (A and B) The histopathology features of HE and EVG stained normal and ASO arterial tissues sections. (C) Medial elastin destruction was graded as I (mild) to IV (severe).

Figure 3 Differentially expressed circRNAs between normal and ASO arterial tissues.

Notes: (A) Heat map showed the DE circRNAs in normal and ASO arterial tissues. The circRNA-seq samples (X-axis) were hierarchically clustered based on expression similarity profiles at the top. On the left (Y-axis) means DE circRNAs, which were clustered based on the expression similarity. Colour differed from green to red with green denoting relatively downregulated expression and red representing relatively up-expressed circRNAs. (B) Volcano plot exhibits the DE circRNAs in normal and ASO arterial tissues. The log2 fold-change of circRNA expression between the ASO and normal group was represented on the X-axis, and the statistically significant degree of various circRNA expression change was represented on the Y-axis. Each scattered box in the plot represented the expression value for each circRNA, the gray boxes meant no significant difference of circRNAs expression, and the red boxes represented the significantly expressed circRNAs.
Figure 3 Differentially expressed circRNAs between normal and ASO arterial tissues.

Figure 4 The results of GO and KEGG analysis.

Notes: (A) The top 10 GO terms of DE circRNA host genes at three gene ontology levels (biological processes, molecular function and cell component). (B) The top 10 signal pathways of KEGG pathway enrichment analysis. The enrichment score of each pathway was represented on X-axis while the pathway name was represented on Y-axis. The size of the dots reflected the selection counts, and the color was consistent with the different p value ranges.
Figure 4 The results of GO and KEGG analysis.

Figure 5 Validation of microarray assay results by RT-qPCR of 10 selected circRNAs (the top 5 upregulated and 5 downregulated circRNAs, raw density of the normal group ≥200).

Notes: Sequencing-detected changes of the 10 selected circRNAs were confirmed using RT -qPCR in the normal and ASO arterial tissue groups (n = 3). Bars show means ± standard deviation. Bars show the mean and error bars the standard deviation. *p < 0.05 NC vs ASO.
Figure 5 Validation of microarray assay results by RT-qPCR of 10 selected circRNAs (the top 5 upregulated and 5 downregulated circRNAs, raw density of the normal group ≥200).

Figure 6 The construction of circRNA-miRNA-mRNA network.

Notes: Based on the ceRNA (circRNA-miRNA-mRNA) interaction information from Cytoscape, 5 validated and consistent circRNAs (hsa_circ_0003266, hsa_circ_0118936, hsa_circ_0067161, hsa_circ_0091934 and hsa_circ_0092022) were annotated in detail. According to the prediction outcome of miRNA and mRNA, the top 5 miRNAs may be regulated by these 5 validated circRNAs, and the top 50 target genes of each miRNA were presented. Brown: circRNAs. Red: miRNAs. Blue: mRNAs.
Figure 6 The construction of circRNA-miRNA-mRNA network.

Data Sharing Statement

The dataset of the raw and processed sequencing data originated from this study is freely available from the online repositories: National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database (GSE152280).