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Arraystar inc circrna array v 2.0
Primer sequences used for qRT-PCR analysis of <t> circRNA </t> and mRNA levels.
Circrna Array V 2.0, supplied by Arraystar inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/arraystar+circrnas+array/circrna+arrays+v++2+0/pmc07982475-118-8-7
Average 90 stars, based on 1 article reviews
circrna array v 2.0 - by Bioz Stars, 2026-09
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Images

1) Product Images from "Circular RNA Microarray Analyses in Hepatic Ischemia-Reperfusion Injury With Ischemic Preconditioning Prevention"

Article Title: Circular RNA Microarray Analyses in Hepatic Ischemia-Reperfusion Injury With Ischemic Preconditioning Prevention

Journal: Frontiers in Medicine

doi: 10.3389/fmed.2021.626948

Primer sequences used for qRT-PCR analysis of  circRNA  and mRNA levels.
Figure Legend Snippet: Primer sequences used for qRT-PCR analysis of circRNA and mRNA levels.

Techniques Used:

CircRNAs comparing the IRI and sham groups and between the IPC and IRI groups. The left (scatterplots) and right (volcano plots) show the alteration of circRNA expression between IRI and sham groups (A) and between IPC and IRI groups (B) . In the scatterplot, the values on the X - and Y -axes are the log2 scaled signals of samples. Fold change is represented by the green lines. The circRNAs outside the range formed by the upper and lower green lines are those with the fold change ≥ 1.5 between the compared groups. In the volcano plot, the vertical green lines represent a 1.5-fold change although the horizontal green line corresponds to a P -value of 0.05. The red points in the volcano plot represent the significantly altered circRNAs with P -value <0.05. (C) Different subgroups of significantly altered circRNAs according to their effects and position. (D) Heat maps of circRNA profiles from the microarray data. The color scales represent expression values. Red represents high expression, and green indicates low relative expression. Each row of colored boxes indicates a single circRNA, each column indicates a single sample.
Figure Legend Snippet: CircRNAs comparing the IRI and sham groups and between the IPC and IRI groups. The left (scatterplots) and right (volcano plots) show the alteration of circRNA expression between IRI and sham groups (A) and between IPC and IRI groups (B) . In the scatterplot, the values on the X - and Y -axes are the log2 scaled signals of samples. Fold change is represented by the green lines. The circRNAs outside the range formed by the upper and lower green lines are those with the fold change ≥ 1.5 between the compared groups. In the volcano plot, the vertical green lines represent a 1.5-fold change although the horizontal green line corresponds to a P -value of 0.05. The red points in the volcano plot represent the significantly altered circRNAs with P -value <0.05. (C) Different subgroups of significantly altered circRNAs according to their effects and position. (D) Heat maps of circRNA profiles from the microarray data. The color scales represent expression values. Red represents high expression, and green indicates low relative expression. Each row of colored boxes indicates a single circRNA, each column indicates a single sample.

Techniques Used: Expressing, Microarray

mRNAs comparing the IRI and sham groups and between the IPC and IRI groups. The left (scatterplots) and right (volcano plots) show the alteration of mRNA expression between IRI and sham groups (A) and between IPC and IRI groups (B) . In the plot, red and green points represent significant altered mRNAs (fold change ≥ 1.5, P -value < 0.05), respectively. (C) Heat maps of mRNA profiles from the microarray data. The color scales represent expression values. Red represents high expression, and green indicates low relative expression. Each row of colored boxes indicates single circRNA; each column indicates single sample.
Figure Legend Snippet: mRNAs comparing the IRI and sham groups and between the IPC and IRI groups. The left (scatterplots) and right (volcano plots) show the alteration of mRNA expression between IRI and sham groups (A) and between IPC and IRI groups (B) . In the plot, red and green points represent significant altered mRNAs (fold change ≥ 1.5, P -value < 0.05), respectively. (C) Heat maps of mRNA profiles from the microarray data. The color scales represent expression values. Red represents high expression, and green indicates low relative expression. Each row of colored boxes indicates single circRNA; each column indicates single sample.

Techniques Used: Expressing, Microarray

Selected circRNA and mRNA qRT-PCR verification between the IRI and sham groups (A) and between the IPC and IRI groups (B) . Data are expressed as the means ± SD, n = 6. * P <0.05 compared with the sham, and ** P <0.01 compared with the sham group; ## P <0.01 compared with the IRI group.
Figure Legend Snippet: Selected circRNA and mRNA qRT-PCR verification between the IRI and sham groups (A) and between the IPC and IRI groups (B) . Data are expressed as the means ± SD, n = 6. * P <0.05 compared with the sham, and ** P <0.01 compared with the sham group; ## P <0.01 compared with the IRI group.

Techniques Used: Quantitative RT-PCR

Identification of circRNAs related to hepatic protection by IPC and qRT-PCR validation. (A) The Venn diagram shows the circRNAs with an opposite direction of the alterations between the two comparison groups (sham vs. IRI and IRI vs. IPC). (B) qRT-PCR detected expression levels of circRNA_017753 in mouse liver among the three groups. Data are expressed as the means ± SD, n = 6. * P <0.05 compared with the sham group; # P <0.05 compared with the IRI group.
Figure Legend Snippet: Identification of circRNAs related to hepatic protection by IPC and qRT-PCR validation. (A) The Venn diagram shows the circRNAs with an opposite direction of the alterations between the two comparison groups (sham vs. IRI and IRI vs. IPC). (B) qRT-PCR detected expression levels of circRNA_017753 in mouse liver among the three groups. Data are expressed as the means ± SD, n = 6. * P <0.05 compared with the sham group; # P <0.05 compared with the IRI group.

Techniques Used: Quantitative RT-PCR, Expressing

The identified circRNAs and its predicted miRNA response elements (MREs).
Figure Legend Snippet: The identified circRNAs and its predicted miRNA response elements (MREs).

Techniques Used:

(A) Prediction of MiRNA and the circRNA–miRNA–mRNA pathway. Detailed structure of circRNA/miRNA interactions. The MRE sequence, miRNA seed type, precise base positions and target miRNA nucleotides are presented as annotation in 2-D structure column. Thirty nucleotides downstream and upstream the seed sequence are presented in “local AU.” Red bars present A/U, and black bars present G/C. The most likely relative MRE position are presented in position column. (B) Overlap of the predicted mRNA target related to circRNA_017753 and significantly upregulated mRNAs caused by IPC intervention.
Figure Legend Snippet: (A) Prediction of MiRNA and the circRNA–miRNA–mRNA pathway. Detailed structure of circRNA/miRNA interactions. The MRE sequence, miRNA seed type, precise base positions and target miRNA nucleotides are presented as annotation in 2-D structure column. Thirty nucleotides downstream and upstream the seed sequence are presented in “local AU.” Red bars present A/U, and black bars present G/C. The most likely relative MRE position are presented in position column. (B) Overlap of the predicted mRNA target related to circRNA_017753 and significantly upregulated mRNAs caused by IPC intervention.

Techniques Used: Sequencing


Figure Legend Snippet:

Techniques Used:


Figure Legend Snippet:

Techniques Used:



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Image Search Results


Differentially expressed circRNAs in MS patients versus HCs, circRNA array analysis. ( A ) Volcano plots, used to visualize up- and downregulated genes across MS samples as compared to HCs. The red (up) and green (down) dots in the plot represent the significative differentially expressed circRNAs. ( B ) Clustered heatmap of the differentially expressed circRNAs showing the relationships among the expression levels of samples. Upregulation is shown in red, and downregulation is in green. ( C ) Table showing the list of circRNAs differentially expressed, depicting the top 7 upregulated and 10 downregulated.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Differentially expressed circRNAs in MS patients versus HCs, circRNA array analysis. ( A ) Volcano plots, used to visualize up- and downregulated genes across MS samples as compared to HCs. The red (up) and green (down) dots in the plot represent the significative differentially expressed circRNAs. ( B ) Clustered heatmap of the differentially expressed circRNAs showing the relationships among the expression levels of samples. Upregulation is shown in red, and downregulation is in green. ( C ) Table showing the list of circRNAs differentially expressed, depicting the top 7 upregulated and 10 downregulated.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Expressing

Characteristics of the circRNAs identified in PBMCs of MS patients versus HCs. ( A ) Distribution of significantly upregulated circRNAs according to the chromosomal location. ( B ) Class distribution of upregulated circRNAs based on the genomic origins. ( C ) Distribution of significantly downregulated circRNAs according to the chromosomal location. ( D ) Class distribution of downregulated circRNAs based on the genomic origins.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Characteristics of the circRNAs identified in PBMCs of MS patients versus HCs. ( A ) Distribution of significantly upregulated circRNAs according to the chromosomal location. ( B ) Class distribution of upregulated circRNAs based on the genomic origins. ( C ) Distribution of significantly downregulated circRNAs according to the chromosomal location. ( D ) Class distribution of downregulated circRNAs based on the genomic origins.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques:

Validation of the circRNAs identified in PBMCs of MS patients versus HCs. Expression levels in PBMCs of five upregulated and four downregulated circRNAs ( A ) and the corresponding cognate linear mRNAs ( B ) were measured by qPCR analysis. The levels of circRNAs and mRNAs were normalized to GAPDH mRNA levels. Data are the means and standard deviation (+SD) from at least three independent experiments. ** p < 0.01, *** p < 0.001.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Validation of the circRNAs identified in PBMCs of MS patients versus HCs. Expression levels in PBMCs of five upregulated and four downregulated circRNAs ( A ) and the corresponding cognate linear mRNAs ( B ) were measured by qPCR analysis. The levels of circRNAs and mRNAs were normalized to GAPDH mRNA levels. Data are the means and standard deviation (+SD) from at least three independent experiments. ** p < 0.01, *** p < 0.001.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Biomarker Discovery, Expressing, Standard Deviation

Validation of the circRNAs in serum of MS patients versus HCs. The levels in serum of five upregulated and four downregulated circRNAs ( A ) and the corresponding mRNAs ( B ) were measured by qPCR analysis. The levels of circRNAs and mRNAs were normalized to GAPDH mRNA levels. Data are the means and standard deviation (+SD) from at least three independent experiments. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Validation of the circRNAs in serum of MS patients versus HCs. The levels in serum of five upregulated and four downregulated circRNAs ( A ) and the corresponding mRNAs ( B ) were measured by qPCR analysis. The levels of circRNAs and mRNAs were normalized to GAPDH mRNA levels. Data are the means and standard deviation (+SD) from at least three independent experiments. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Biomarker Discovery, Standard Deviation

Identification of the miRNAs and RBP Targets. ( A ) Schematic representation of circRNAs with putative miRNA binding site (MRE) and RNA-binding protein binding site (RBP-bs). ( B , C ) Tables showing list of human circRNA identified from our studies and target miRNAs and interacting RNA-binding proteins as determined by analysis performed using miRanda and circInteractome, respectively.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Identification of the miRNAs and RBP Targets. ( A ) Schematic representation of circRNAs with putative miRNA binding site (MRE) and RNA-binding protein binding site (RBP-bs). ( B , C ) Tables showing list of human circRNA identified from our studies and target miRNAs and interacting RNA-binding proteins as determined by analysis performed using miRanda and circInteractome, respectively.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Binding Assay, RNA Binding Assay, Protein Binding

Network of circRNA-miRNA-mRNA for MS-associated genes. ( A ) Network of upregulated circRNAs and ( B ) downregulated circRNAs. CircRNAs are represented as red or green diamonds, miRNAs as red or green circles, and mRNAs as light red or light green rectangles. Red represents network generated from upregulated circRNAs and green from downregulated circRNAs.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Network of circRNA-miRNA-mRNA for MS-associated genes. ( A ) Network of upregulated circRNAs and ( B ) downregulated circRNAs. CircRNAs are represented as red or green diamonds, miRNAs as red or green circles, and mRNAs as light red or light green rectangles. Red represents network generated from upregulated circRNAs and green from downregulated circRNAs.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Generated

Validation of the circRNA expression in PBMCs and correlation with disease severity. ( A ) Expression levels in PBMCs of five upregulated and three downregulated circRNAs in MS with different disease severity measured by RT-qPCR analysis. The levels of circRNAs were normalized to GAPDH mRNA levels. ( B ) Receiver operating characteristic (ROC) curve of differentially expressed circRNAs in MS vs. HCs. Green line, hsa_circ_0003445 and blue line, hsa_circ_0018905. Data are represented as the means and standard deviation (+SD) from at least three independent experiments. ** p < 0.01, *** p < 0.001.

Journal: Cells

Article Title: Identification of hsa_circ_0018905 as a New Potential Biomarker for Multiple Sclerosis

doi: 10.3390/cells13191668

Figure Lengend Snippet: Validation of the circRNA expression in PBMCs and correlation with disease severity. ( A ) Expression levels in PBMCs of five upregulated and three downregulated circRNAs in MS with different disease severity measured by RT-qPCR analysis. The levels of circRNAs were normalized to GAPDH mRNA levels. ( B ) Receiver operating characteristic (ROC) curve of differentially expressed circRNAs in MS vs. HCs. Green line, hsa_circ_0003445 and blue line, hsa_circ_0018905. Data are represented as the means and standard deviation (+SD) from at least three independent experiments. ** p < 0.01, *** p < 0.001.

Article Snippet: The Arraystar circRNAs Array was designed to identify 13,617 circRNAs, which were analyzed using the Agilent Feature Extraction software.

Techniques: Biomarker Discovery, Expressing, Quantitative RT-PCR, Standard Deviation

Circular RNAs are deregulated in human abdominal aortic aneurysm (A) Volcano plot depicting downregulated (51, blue) and upregulated (40, red). Circular RNAs (circRNAs) in human elective human abdominal aortic aneurysm (eAAA, n = 11) vs . control (CTRL, n = 6) aorta specimens, as resulted by array experiments. Log2 fold change and -log10 p value are plotted on the x and y axes, respectively. IDs of circRNAs meant for a first round of validation are highlighted. Statistics: unpaired t test; p values <0.05 are considered significant. (B) Pie chart illustrating the proportion of exonic (89.8%), intronic (5.7%), sense overlapping (3.4%), and antisense (1.1%) array-identified differentially expressed circRNAs. Absolute numbers are further indicated for each group. (C) Real-time quantitative PCR (qPCR) validation of hsa_circ_0005660 (c NFIX ), hsa_circ_0003641 (c ATM ), hsa_circ0042103 (c MYOCD ), hsa_circ003218 (c BMPR2 ), hsa_circ0004771 (c NRIP1 ), and hsa_circ0005615 (c NFATC3 ) differential expression in human eAAA (N = 8) and CTRL (N = 4) aortas. 2 –ddCT was calculated by normalizing on RPLPO . Data are represented as mean ± SEM. Statistics: unpaired t test; p values <0.05 are considered significant. NS, not significant; eAAA, elective AAA.

Journal: Molecular Therapy. Nucleic Acids

Article Title: The circular RNA Ataxia Telangiectasia Mutated regulates oxidative stress in smooth muscle cells in expanding abdominal aortic aneurysms

doi: 10.1016/j.omtn.2023.08.017

Figure Lengend Snippet: Circular RNAs are deregulated in human abdominal aortic aneurysm (A) Volcano plot depicting downregulated (51, blue) and upregulated (40, red). Circular RNAs (circRNAs) in human elective human abdominal aortic aneurysm (eAAA, n = 11) vs . control (CTRL, n = 6) aorta specimens, as resulted by array experiments. Log2 fold change and -log10 p value are plotted on the x and y axes, respectively. IDs of circRNAs meant for a first round of validation are highlighted. Statistics: unpaired t test; p values <0.05 are considered significant. (B) Pie chart illustrating the proportion of exonic (89.8%), intronic (5.7%), sense overlapping (3.4%), and antisense (1.1%) array-identified differentially expressed circRNAs. Absolute numbers are further indicated for each group. (C) Real-time quantitative PCR (qPCR) validation of hsa_circ_0005660 (c NFIX ), hsa_circ_0003641 (c ATM ), hsa_circ0042103 (c MYOCD ), hsa_circ003218 (c BMPR2 ), hsa_circ0004771 (c NRIP1 ), and hsa_circ0005615 (c NFATC3 ) differential expression in human eAAA (N = 8) and CTRL (N = 4) aortas. 2 –ddCT was calculated by normalizing on RPLPO . Data are represented as mean ± SEM. Statistics: unpaired t test; p values <0.05 are considered significant. NS, not significant; eAAA, elective AAA.

Article Snippet: The resulting labeled cDNA was then purified and 1 μg was fragmented, heated, and subsequently hybridized with an 8 × 15k commercially available array chip displaying 13,617 human circRNAs (Arraystar, no. AS-S-CR-H-V2.0) for 17 h at 65°C in an Agilent Hybridization Oven.

Techniques: Control, Biomarker Discovery, Real-time Polymerase Chain Reaction, Quantitative Proteomics