Journal: Medical Science Monitor : International Medical Journal of Experimental and Clinical Research

Article Title: Integrative Analysis of Long Non-Coding RNAs (lncRNAs), miRNAs, and mRNA-Associated ceRNA Network in Lung Tissue of Aging Mice and Changes After Treatment with Codonopsis pilosula

doi: 10.12659/MSM.921580

Figure Lengend Snippet: Volcano plots showing differentially expressed lncRNAs, mRNAs, and miRNAs between groups. ( A–F ) Volcano plot for differentially expressed lncRNA, mRNA, and miRNA in the model group compared with the control group and HC group compared with the model group. Upregulated genes are shown in red, the downregulated genes are shown in green, and the genes in black were not significantly different. Volcano plots directly reflect the number, significance, and reliability of differential genes. When the points in the diagram are closer to the upper left and the upper right, the difference is more significant. ( G, H ) Common lncRNAs and mRNAs with different expressions between the HC group compared with the model group and the model group compared with the control group. HC group: high-dose Codonopsis pilosula treatment group.

Article Snippet: We used CapitalBio Technology Mouse LncRNA Array v1 (4×180K format) and the Agilent Mouse miRNA Microarray, Release 21.0 (8×60K format).

Techniques: Control

Journal: Medical Science Monitor : International Medical Journal of Experimental and Clinical Research

Article Title: Integrative Analysis of Long Non-Coding RNAs (lncRNAs), miRNAs, and mRNA-Associated ceRNA Network in Lung Tissue of Aging Mice and Changes After Treatment with Codonopsis pilosula

doi: 10.12659/MSM.921580

Figure Lengend Snippet: The differentially expressed lncRNA-miRNA network in aging mice. (The diamond and V shape represent lncRNA and miRNA, respectively. The red nodes indicate upregulation in the array data and the green nodes indicate downregulation in the array data.)

Article Snippet: We used CapitalBio Technology Mouse LncRNA Array v1 (4×180K format) and the Agilent Mouse miRNA Microarray, Release 21.0 (8×60K format).

Techniques:

Journal: Medical Science Monitor : International Medical Journal of Experimental and Clinical Research

Article Title: Integrative Analysis of Long Non-Coding RNAs (lncRNAs), miRNAs, and mRNA-Associated ceRNA Network in Lung Tissue of Aging Mice and Changes After Treatment with Codonopsis pilosula

doi: 10.12659/MSM.921580

Figure Lengend Snippet: The differentially expressed lncRNA-miRNA network after treatment with Codonopsis pilosula . (The diamond and V shape represent lncRNA and miRNA, respectively. The red nodes indicate upregulation in the array data; the green nodes indicate downregulation in the array data.)

Article Snippet: We used CapitalBio Technology Mouse LncRNA Array v1 (4×180K format) and the Agilent Mouse miRNA Microarray, Release 21.0 (8×60K format).

Techniques:

Journal: Medical Science Monitor : International Medical Journal of Experimental and Clinical Research

Article Title: Integrative Analysis of Long Non-Coding RNAs (lncRNAs), miRNAs, and mRNA-Associated ceRNA Network in Lung Tissue of Aging Mice and Changes After Treatment with Codonopsis pilosula

doi: 10.12659/MSM.921580

Figure Lengend Snippet: The differentially expressed ceRNA network in aging mice. (The diamond, V shape, and circle represent the lncRNA, miRNA, and mRNA, respectively. The red nodes indicate upregulation in the array data and the green nodes indicate downregulation in the array data.)

Article Snippet: We used CapitalBio Technology Mouse LncRNA Array v1 (4×180K format) and the Agilent Mouse miRNA Microarray, Release 21.0 (8×60K format).

Techniques:

Journal: Medical Science Monitor : International Medical Journal of Experimental and Clinical Research

Article Title: Integrative Analysis of Long Non-Coding RNAs (lncRNAs), miRNAs, and mRNA-Associated ceRNA Network in Lung Tissue of Aging Mice and Changes After Treatment with Codonopsis pilosula

doi: 10.12659/MSM.921580

Figure Lengend Snippet: The differentially expressed ceRNA network after treatment with Codonopsis pilosula . (The diamond, V shape, and circle represent lncRNA, miRNA, and mRNA, respectively. The red nodes indicate upregulation in the array data and the green nodes indicate downregulation in the array data.)

Article Snippet: We used CapitalBio Technology Mouse LncRNA Array v1 (4×180K format) and the Agilent Mouse miRNA Microarray, Release 21.0 (8×60K format).

Techniques:

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: Identification of serum-Exos. (A) Flow chart of exosome isolation and circRNA analysis. (B) Morphology of serum-Exos visualized under a transmission electron microscope. Scale bar, 2.0 µm (C) Western blot analysis of the exosome-specific markers TSG101, CD63 and CD9 in SA-Exos and UA-Exos. (D) Nanoparticle tracking analysis of exosome size distribution. (E) Diameter and (F) concentration of serum-Exos in the SA and UA groups. Data are presented as the mean ± SD. ***P<0.001, and *P<0.05. n=3 in each group. Serum-Exos, serum exosomes; circRNA, circular RNA; SA, stable plaque atherosclerosis; UA, unstable/vulnerable plaque atherosclerosis.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Isolation, Transmission Assay, Microscopy, Western Blot, Concentration Assay

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: circRNA microarray expression data in serum-Exos (A) Box plots displaying the variations in circRNA expression after normalization. (B) Volcano plot of circRNAs. The vertical lines correspond to 1.2-fold up and down, respectively, and the horizontal line represents the P-value cut-off of 0.05. Statistically significant differentially expressed circRNAs are represented by red symbols. (C) Scatter plot of circRNA expression. Symbols above the upper green line or below the lower green line represent circRNAs with a change in expression between the SA-Exos and US-Exos groups >1.2-fold. (D) Hierarchical clustering of circRNA expression across the SA-Exos and UA-Exos groups. Gene expression profiles are shown in rows. Red indicates upregulated expression of circRNAs, and green indicates downregulated expression of circRNAs. Exos, exosomes; circRNA, circular RNA; SA, stable plaque atherosclerosis; UA, unstable/vulnerable plaque atherosclerosis.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Microarray, Expressing, Gene Expression

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: Validation of expression patterns for circRNAs and construction of the ceRNA network. (A) RT-qPCR validation of the expression patterns of six circRNA candidates. (B) RT-qPCR validation of circRNA-0006896 expression in patients with SA or UA. (C) circRNA-0006896 ceRNA network diagram. Yellow diamonds represent the circRNAs, blue triangles correspond to the target miRNAs, and red circles represent miRNA-targeted mRNAs. RT-qPCR was performed in triplicate. Data are presented as the mean ± SD. ***P<0.001 and **P<0.01. Exos, exosomes; circRNA, circular RNA; miRNA, microRNA; SA, stable plaque atherosclerosis; UA, unstable/vulnerable plaque atherosclerosis; RT-qPCR, reverse transcription-quantitative PCR.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Biomarker Discovery, Expressing, Quantitative RT-PCR, Reverse Transcription, Real-time Polymerase Chain Reaction

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: Correlation between circRNA-0006896 expression and biochemical parameters in AS patients with SA or UA.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Expressing

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: circRNA-006896-miR1264-DNMT1 axis in HUVECs. (A) RT-qPCR validation of the expression patterns of six circRNA-006896 targeted-miRNAs in SA-Exos or UA-Exos-treated HUVECs. (B) Predicted formation of duplexes at the miR1264 binding sites in circRNA-0006896 is indicated. (C) A dual-luciferase reporter gene assay was carried out to verify the binding site. HUVECs treated with miR-1264 mimic or control miRNA were co-transfected with psiCHECK2 constructs containing the WT or mutant circRNA-0006896 sites. (D) Confocal microscopy analysis of serum-Exos phagocytosis by HUVECs. (E) Colocalization of circRNA-0006896 with miR1264 in HUVECs Fluorescence in situ hybridization was used to evaluate the cellular localization of circRNA-0006896 and miR-1264. Nuclei were stained with DAPI. Relative expression levels of (F) circRNA-0006896, (G) miR-1264 and (H) DNMT1 in the mock and serum-Exos-treated HUVECs. Scale bar, 100 µm. Data are presented as the mean ± SD. ***P<0.001, **P<0.01, ### P<0.001 vs. SA-Exos. Serum-Exos, serum exosomes; circRNA, circular RNA; miRNA, microRNA; HUVEC, human umbilical vein endothelial cell; DNMT1, DNA methyltransferase 1; WT, wild-type; Mut, mutant; SA, stable plaque atherosclerosis; UA, unstable/vulnerable plaque atherosclerosis.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Quantitative RT-PCR, Biomarker Discovery, Expressing, Binding Assay, Luciferase, Reporter Gene Assay, Control, Transfection, Construct, Mutagenesis, Confocal Microscopy, Fluorescence, In Situ Hybridization, Staining

Journal: Molecular Medicine Reports

Article Title: circRNA-0006896-miR1264-DNMT1 axis plays an important role in carotid plaque destabilization by regulating the behavior of endothelial cells in atherosclerosis

doi: 10.3892/mmr.2021.11950

Figure Lengend Snippet: Highly expressed circRNA-0006896 encapsulated in UA-serum-Exos increases the proliferation and migration of HUVECs. (A) Protein levels of DNMT1, SOCS3, P-STAT3 and STAT3 were determined by western blot analysis. (B) MTT assay. (C) Wound healing assay. (D) Transwell assay. Scale bar, 100 µm. Data are presented as the mean ± SD. ***P<0.001, **P<0.01 vs. mock group; ### P<0.001, ## P<0.01 vs. SA-Exos. Exos, exosomes; HUVEC, human umbilical vein endothelial cell; DNMT1, DNA methyltransferase 1; SOCS3, suppressor of cytokine signaling 3; signal transducer and activator of transcription 3; P, phosphorylated; SA, stable plaque atherosclerosis; UA, unstable/vulnerable plaque atherosclerosis; OD, optical density.

Article Snippet: The Human CircRNA Array v2 (CapitalBio Technology Co., Ltd.) was used; with each slide containing four identical arrays (4×180K format), representing ~170,340 human circRNAs.

Techniques: Migration, Western Blot, MTT Assay, Wound Healing Assay, Transwell Assay

Journal: Oxidative Medicine and Cellular Longevity

Article Title: Development and Clinical Validation of a Novel 5 Gene Signature Based on Fatty Acid Metabolism-Related Genes in Oral Squamous Cell Carcinoma

doi: 10.1155/2022/3285393

Figure Lengend Snippet: Identification and validation of 5 fatty acid metabolism-related gene signature by qRT-PCR. (a) The Kaplan−Meier survival curve of 5 gene signature. (b) Heatmap of mRNA expression of 5 gene signature with different RiskScore and survivor status. (c) Forest plot of mRNA expression of 5 gene signature obtained by multivariable Cox model adjusted by TNM stage and lymph node metastasis at diagnosis.

Article Snippet: As described previously [ ], CapitalBio Technology Human mRNA Array v4 (4 × 180 K format, Capitalbio Technology Corporation Co., Ltd., Beijing, China) was used for microarray analysis, which included detection probes for 34,235 human mRNAs, as well as 4974 Agilent control probes.

Techniques: Biomarker Discovery, Quantitative RT-PCR, Expressing