Journal: Cancer Cell International

Article Title: circ-ANXA7 facilitates lung adenocarcinoma progression via miR-331/LAD1 axis

doi: 10.1186/s12935-021-01791-5

Figure Lengend Snippet: A novel up-regulated circRNA circ-ANXA7 is an independent prognostic factor for LUAD. a circ-ANXA7 up-regulation was found between LUAD tissues (n = 40) and non-tumor tissues (n = 40) by microarray analysis. Red: up-regulation and green: down-regulation. b Box plots visualizing a higher expression level of circ-ANXA7 in LUAD tissues than non-tumor tissues using qRT-PCR. c qRT-PCR was utilized to examine the relative expression levels of circ-ANXA7 between normal epithelial cells and LUAD cells. d Overall survival analysis between LUAD patients with high circ-ANXA7 expression and those with its low expression. e Multivariate regression analysis of circ-ANXA7 expression after adjusting other prognostic factors. f Western blot was presented to examine the expression of ANXA7 protein between normal epithelial cells and LUAD cells. g Immunohistochemistry of ANXA7 between adjacent normal tissues and LUAD tissues. Magnification: ×40; ×200. **p < 0.01

Article Snippet: Arraystar Human circRNA Microarray analysis (Arraystar Inc., Rockville, MD, USA) was then presented.

Techniques: Microarray, Expressing, Quantitative RT-PCR, Western Blot, Immunohistochemistry

Journal: Cancer Cell International

Article Title: circ-ANXA7 facilitates lung adenocarcinoma progression via miR-331/LAD1 axis

doi: 10.1186/s12935-021-01791-5

Figure Lengend Snippet: circ-ANXA7 could directly target the expression of miR-331. a A schematic diagram showing the putative binding sites between circ-ANXA7 and miR-331. b MiRNA microarray expression profiles identified down-regulated miR-331 between LUAD tumor tissues and non-tumor tissues, which was verified by RT-qPCR. c Down-regulated miR-331 was determined in LUAD cells compared to controls by RT-qPCR. d RT-qPCR was utilized to examine miR-331 expression in A549 cells under transfection of pcDNA3.1-circ-ANXA7 and/or miR-331 mimics. e miR-331 expression was determined in A549 cells transfected with sh-circ-ANXA7 and/or miR-331 inhibitor. f Dual luciferase report between circ-ANXA7 and miR-331. g Correlation between circ-ANXA7 and miR-331. **p < 0.01

Article Snippet: Arraystar Human circRNA Microarray analysis (Arraystar Inc., Rockville, MD, USA) was then presented.

Techniques: Expressing, Binding Assay, Microarray, Quantitative RT-PCR, Transfection, Luciferase

Journal: Cell Death & Disease

Article Title: Circ ERCC2 ameliorated intervertebral disc degeneration by regulating mitophagy and apoptosis through miR-182-5p/SIRT1 axis

doi: 10.1038/s41419-019-1978-2

Figure Lengend Snippet: a Volcano plots showed differential expression of circRNAs detected by circRNA microarray in IVDD compared with the control. b Volcano plots showed differential expression of circRNAs in GSE67566. c The 9 downregulated circRNAs in IVDD were identified based on the overlap of circRNA microarray and GSE67566. d Heatmap of 9 circRNAs in circRNA microarray and heatmap of 9 circRNAs in GSE67566. e qRT-PCR analysis confirmed the downregulation of circRNAs in IVDD compared with control. * p < 0.05. f circ ERCC2 is transcribed from 13, 14, and 15 exons of the ERCC2 gene. The expression of circ ERCC2 was lower in NP tissues from IVDD compared with the control detected by FISH. g FISH detection of circ ERCC2 in the cytoplasm of NPCs. In ( f ) and ( g ), blue fluorescence indicated the nucleus and green fluorescence indicated circ ERCC2. Scale bar: 20 μm. h Representative plots of apoptosis detected by flow cytometry. circ ERCC2 inhibited the rate of apoptosis of NPCs. * p < 0.05, ** p < 0.01. i NPCs were treated by TBHP or/and circ ERCC2, and mitophagy and apoptosis related proteins were detected by Western blot analysis

Article Snippet: Identification of differentially expressed circRNAs was performed by overlapping microarray analysis of human circRNAs (Arraystar, CA, USA) and microarray dataset (GSE67566) obtained from Gene Expression Omnibus (GEO) database.

Techniques: Quantitative Proteomics, Microarray, Control, Quantitative RT-PCR, Expressing, Fluorescence, Flow Cytometry, Western Blot