Circular RNA Transcriptomic Analysis of Primary Human Brain Microvascular Endothelial Cells Infected with Meningitic Escherichia coli  Ruicheng Yang,

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Circular RNA Transcriptomic Analysis of Primary Human Brain Microvascular Endothelial Cells Infected with Meningitic Escherichia coli  Ruicheng Yang, Bojie Xu, Bo Yang, Jiyang Fu, Lu Liu, Nouman Amjad, Aoling Cai, Chen Tan, Huanchun Chen, Xiangru Wang  Molecular Therapy - Nucleic Acids  Volume 13, Pages 651-664 (December 2018) DOI: 10.1016/j.omtn.2018.10.013 Copyright © 2018 The Author(s) Terms and Conditions

Figure 1 Overview of Sample Preparation, Circular RNA Sequencing, and Bioinformatic Analysis Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 2 Expression Profiling of the Changes in circRNAs in Meningitic E. coli-Infected Primary hBMECs (A) Heatmap showing unsupervised clustering of significantly expressed circRNAs from primary hBMECs in the meningitic E. coli infection groups compared with the control groups. The expression profiles are displayed with three samples in each group. Dark green represents high and pale green represents low relative expression. (B) Volcano plot of the upregulated and downregulated circRNAs from primary hBMECs in the meningitic E. coli infection group compared with the control group. p < 0.05 was considered statistically significant. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 3 Characterization of circRNAs in Primary hBMECs (A) Transcript lengths for the 41,504 circRNAs from the primary hBMECs in six samples. (B) Genomic origins of the circRNAs from the primary hBMECs in six samples. (C) For each sample, the identities of the circRNAs were confirmed by the CircBase database. (D) The proportion of circRNAs in CircBase matching our sequencing data. (E) The expression density distribution of the circRNAs in each sample. (F) The distributions of the differentially expressed circRNAs on all 23 chromosomes. Red is the number of downregulated circRNAs and blue is the number of upregulated circRNAs. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 4 qPCR Verification of the circRNA Transcription in Primary hBMECs in Response to Meningitic E. coli Infection (A–F) The relative expression levels of 6 circRNAs, including 3 downregulated ones (A, hg38_circ_0000395; B, hg38_circ_0008815; C, hg38_circ_0033002) and 3 upregulated ones (D, hg38_circ_0014254; E, hg38_circ_0019064; F, hg38_circ_0035876), were examined by qPCR in primary hBMECs treated with or without meningitic E. coli for 3 hr. The data from circRNA-seq were highly consistent with the qPCR results. Data are expressed as the mean ± SEM from three independent experiments. *p < 0.05. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 5 Summary of the Gene Ontology and KEGG Pathway Analysis for the Parental Genes of the Differentially Expressed circRNAs (A) Gene ontology of the parental genes for the differentially expressed circRNAs. The y axis is the targeted gene numbers corresponding to the GO terms. (B) KEGG analysis of the 20 most enriched pathways. The coloring of the q-values indicates the significance of the rich factor. Circles indicate the target genes that are involved, and their sizes are proportional to the number of genes. The x axis represents the enrichment pathway name. The y axis represents the rich factor. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 6 circRNA-miRNA-mRNA Regulatory Network Analysis (A) ceRNA analysis of the downregulated circRNAs derived from exons. (B) ceRNA analysis of the upregulated circRNAs derived from exons. In the circRNA-miRNA-mRNA network, circles represent circRNAs, recessed triangles represent miRNAs, and standard triangles represent mRNAs. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions

Figure 7 The circRNA hg38_circ_0008980 Positively Regulates the Expression of ETV1 via Targeting the miRNA hsa-miR-660-5p (A and B) The miRNA response elements (MREs) of hsa-miR-660-5p were shown on both the sequence of hg38_circ_0008980 (A) and ETV1 3′ UTR (B), and mutations were introduced on these MREs, respectively. Both wild-type and the mutated sequences were cloned into psiCHECK-2 plasmid. (C and D) Dual-luciferase reporter assays showed that hsa-miR-660-5p transfection significantly decreased the luciferase activity of the wild-type hg38_circ_0008980 (C) or ETV1 3′ UTR (D), while luciferase activities of the mutated constructs were not affected. The relative activities were expressed as the renilla luciferase activity normalized to the firefly luciferase activity. (E) The hg38_circ_0008980 overexpression as well as hsa-miR-660-5p inhibition significantly increased the transcription of ETV1 mRNA, and, in contrast, the hsa-miR-660-5p mimics completely blocked hg38_circ_0008980 overexpression-mediated upregulation of ETV1. Data were expressed as the mean ± SEM from three independent assays. *p < 0.05, **p < 0.01, and ***p < 0.001. Molecular Therapy - Nucleic Acids 2018 13, 651-664DOI: (10.1016/j.omtn.2018.10.013) Copyright © 2018 The Author(s) Terms and Conditions