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Arraystar inc circrna expression microarray slide
circRNAs expression profiles detected by <t>microarray</t> in the AAA group and control group. a The box plot shows the nearly identical distributions of normalized intensity values from the aortic samples of the AAA and control group. b The scatter plot is built to assess the expression variation of circRNAs between the two groups. The X and Y axes indicate the normalized intensity values of each circRNAs from the AAA and control group. The dots above the upper green line and below the lower green line represent the dysregulated circRNAs with a fold change (FC) > 2.0 between the two groups. c The volcano plot presents differentially expressed circRNAs in AAA. The vertical lines correspond to 2-fold upregulation and downregulation, the horizontal line indicates P value of 0.05. The red dots represent the differentially expressed circRNAs (FC > 2.0 and P value < 0.05). d Hierarchical clustering analysis reveals a distinguishable expression profile of circRNAs between the AAA and control group. Each column indicates an aortic sample, each row represents a <t>circRNA.</t> The red and green color indicate high and low expression level, respectively. e Chromosomal distribution of the differentially expressed circRNAs between the two groups
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1) Product Images from "Circular RNA expression profile and its potential regulative role in human abdominal aortic aneurysm"

Article Title: Circular RNA expression profile and its potential regulative role in human abdominal aortic aneurysm

Journal: BMC Cardiovascular Disorders

doi: 10.1186/s12872-020-01374-8

circRNAs expression profiles detected by microarray in the AAA group and control group. a The box plot shows the nearly identical distributions of normalized intensity values from the aortic samples of the AAA and control group. b The scatter plot is built to assess the expression variation of circRNAs between the two groups. The X and Y axes indicate the normalized intensity values of each circRNAs from the AAA and control group. The dots above the upper green line and below the lower green line represent the dysregulated circRNAs with a fold change (FC) > 2.0 between the two groups. c The volcano plot presents differentially expressed circRNAs in AAA. The vertical lines correspond to 2-fold upregulation and downregulation, the horizontal line indicates P value of 0.05. The red dots represent the differentially expressed circRNAs (FC > 2.0 and P value < 0.05). d Hierarchical clustering analysis reveals a distinguishable expression profile of circRNAs between the AAA and control group. Each column indicates an aortic sample, each row represents a circRNA. The red and green color indicate high and low expression level, respectively. e Chromosomal distribution of the differentially expressed circRNAs between the two groups
Figure Legend Snippet: circRNAs expression profiles detected by microarray in the AAA group and control group. a The box plot shows the nearly identical distributions of normalized intensity values from the aortic samples of the AAA and control group. b The scatter plot is built to assess the expression variation of circRNAs between the two groups. The X and Y axes indicate the normalized intensity values of each circRNAs from the AAA and control group. The dots above the upper green line and below the lower green line represent the dysregulated circRNAs with a fold change (FC) > 2.0 between the two groups. c The volcano plot presents differentially expressed circRNAs in AAA. The vertical lines correspond to 2-fold upregulation and downregulation, the horizontal line indicates P value of 0.05. The red dots represent the differentially expressed circRNAs (FC > 2.0 and P value < 0.05). d Hierarchical clustering analysis reveals a distinguishable expression profile of circRNAs between the AAA and control group. Each column indicates an aortic sample, each row represents a circRNA. The red and green color indicate high and low expression level, respectively. e Chromosomal distribution of the differentially expressed circRNAs between the two groups

Techniques Used: Expressing, Microarray, Control

Validation of six randomly selected dysregulated circRNAs by qRT-PCR. Each circRNA was evaluated at least three times and compared with the results of microarray. The Y axis indicates the fold change of AAA vs control of each circRNA
Figure Legend Snippet: Validation of six randomly selected dysregulated circRNAs by qRT-PCR. Each circRNA was evaluated at least three times and compared with the results of microarray. The Y axis indicates the fold change of AAA vs control of each circRNA

Techniques Used: Biomarker Discovery, Quantitative RT-PCR, Microarray, Control

The predicted circRNA/miRNA interaction networks for six randomly selected circRNAs. a , b The red nodes indicate upregulated circRNAs. c - f The blue nodes represent downregulated circRNAs. The green nodes are five complementary binding miRNAs of each circRNA
Figure Legend Snippet: The predicted circRNA/miRNA interaction networks for six randomly selected circRNAs. a , b The red nodes indicate upregulated circRNAs. c - f The blue nodes represent downregulated circRNAs. The green nodes are five complementary binding miRNAs of each circRNA

Techniques Used: Binding Assay

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Microarray:

Article Title: CircFak promotes mechanical force-induced osteogenesis via FAK/AKT phosphorylation.
Article Snippet: .. In this study, differentially expressed circRNAs were analyzed in osteoblasts subjected to mechanical force via Arraystar circRNA microarray sequencing. ..

Article Title: Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies
Article Snippet: circRNA , 2018 , hsa_circ_0001204, hsa_circ_0001747 , Plasma , aTB vs HC , Human CircRNA Array V2.0 , qRT-PCR , UP , 86.21% , 89.17% , 0.928(p < 0.001) , Preclinical , ( ) . .. circRNA , 2018 , hsa_circ_0001953; hsa_circ_0009024 , Plasma , aTB vs HC , Arraystar circRNA Microarray , qRT-PCR , UP , 72.50% , 96.00% , 0.915(p < 0.001) , Preclinical , ( ) . ..

Article Title: Investigation of Circular RNA Expression Profiles in Ultrasound-guided Incomplete Radiofrequency Ablation Transplanted Tumor Models of Human Liver Cancer.
Article Snippet: 1 Department of Medical Ultrasonics, First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, P. R. China 2 Department of Pathology, First Affiliated Hospital of Guangxi Medical University, Zhuang Autonomous Region, Nanning, Guangxi, P. R. China Abstract Background Abnormally expressed circular RNAs (circRNAs) are associated with many diseases and have important biological effects on the regulation of gene expression.. However, the circRNA expression profile in incomplete radiofrequency ablation (RFA)-treated liver cancer (LC) patients has not been characterized.. This study investigated the potential biological effects of differentially expressed (DE) circRNAs in an incomplete RFA-treated transplantation tumor model of human LC.

Article Title: Comprehensive Analysis Identifies Hsa_circ_0058191 as a Potential Drug Resistance Target in Multiple Myeloma
Article Snippet: .. A total of 360 up-regulated and 438 down-regulated circRNAs were detected in bortezomib-treatment-resistant MM patients through Arraystar CircRNA Microarray. ..

Article Title: Transcriptome Analysis of Non-coding RNAs and mRNAs in the Dorsal Root Ganglion of Peripheral Nerve Injury-Induced Neuropathic Pain.
Article Snippet: .. Cao et.al performed circRNA expression profile in spinal dorsal horn of CCI rats using Arraystar Rat circRNA Microarray. ..

Sequencing:

Article Title: CircFak promotes mechanical force-induced osteogenesis via FAK/AKT phosphorylation.
Article Snippet: .. In this study, differentially expressed circRNAs were analyzed in osteoblasts subjected to mechanical force via Arraystar circRNA microarray sequencing. ..

Clinical Proteomics:

Article Title: Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies
Article Snippet: circRNA , 2018 , hsa_circ_0001204, hsa_circ_0001747 , Plasma , aTB vs HC , Human CircRNA Array V2.0 , qRT-PCR , UP , 86.21% , 89.17% , 0.928(p < 0.001) , Preclinical , ( ) . .. circRNA , 2018 , hsa_circ_0001953; hsa_circ_0009024 , Plasma , aTB vs HC , Arraystar circRNA Microarray , qRT-PCR , UP , 72.50% , 96.00% , 0.915(p < 0.001) , Preclinical , ( ) . ..

Quantitative RT-PCR:

Article Title: Recent progress in tuberculosis diagnosis: insights into blood-based biomarkers and emerging technologies
Article Snippet: circRNA , 2018 , hsa_circ_0001204, hsa_circ_0001747 , Plasma , aTB vs HC , Human CircRNA Array V2.0 , qRT-PCR , UP , 86.21% , 89.17% , 0.928(p < 0.001) , Preclinical , ( ) . .. circRNA , 2018 , hsa_circ_0001953; hsa_circ_0009024 , Plasma , aTB vs HC , Arraystar circRNA Microarray , qRT-PCR , UP , 72.50% , 96.00% , 0.915(p < 0.001) , Preclinical , ( ) . ..

Labeling:

Article Title: Non-coding RNAs, a double-edged sword in breast cancer prognosis.
Article Snippet: .. Next, the circRNAs were labeled and hybridized onto Arraystar Human circRNA Arrays. ..

Expressing:

Article Title: Transcriptome Analysis of Non-coding RNAs and mRNAs in the Dorsal Root Ganglion of Peripheral Nerve Injury-Induced Neuropathic Pain.
Article Snippet: .. Cao et.al performed circRNA expression profile in spinal dorsal horn of CCI rats using Arraystar Rat circRNA Microarray. ..



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A novel up-regulated <t>circRNA</t> 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 <t>microarray</t> 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
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a Volcano plots showed differential expression of <t>circRNAs</t> 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
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Image Search Results


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

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

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

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

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

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