Journal: BMC Cardiovascular Disorders

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

doi: 10.1186/s12872-020-01374-8

Figure Lengend 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

Article Snippet: The fragmented labeled cRNAs were hybridized onto the circRNA expression microarray slide (Arraystar Human circRNA Array V2).

Techniques: Expressing, Microarray, Control

Journal: BMC Cardiovascular Disorders

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

doi: 10.1186/s12872-020-01374-8

Figure Lengend 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

Article Snippet: The fragmented labeled cRNAs were hybridized onto the circRNA expression microarray slide (Arraystar Human circRNA Array V2).

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

Journal: BMC Cardiovascular Disorders

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

doi: 10.1186/s12872-020-01374-8

Figure Lengend 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

Article Snippet: The fragmented labeled cRNAs were hybridized onto the circRNA expression microarray slide (Arraystar Human circRNA Array V2).

Techniques: Binding Assay

Journal: The Journal of Molecular Diagnostics : JMD

Article Title: Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression

doi: 10.2353/jmoldx.2010.090187

Figure Lengend Snippet: Classification of kidney tumors using expression levels of six microRNAs (microarray data). A: Classification proceeds in two steps, following the cluster structure of the histological types (Figure 2). First, samples are classified into either the oncocytoma/chromophobe pair, or the conventional/papillary pair, using expression levels of hsa-miR-210 and hsa-miR-221 (B). In the second step, oncocytoma is differentiated from chromophobe using expression levels of hsa-miR-200c and hsa-miR-139-5p (C), and conventional is differentiated from papillary using expression levels of hsa-miR-31 and hsa-miR-126 (D). Independent test samples included oncocytoma samples (n = 19, red stars), chromophobe tumors (n = 14, black/yellow diamonds), conventional tumors (n = 17, blue squares), and papillary tumors (n = 6, green circles). The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (A). The 71 samples that were used for training the thresholds (see Methods and Figure 3) are shown in faded symbols in the background.

Article Snippet: 31 , 37 Briefly on Slide E coated microarray slides (Schott Nexterion, Mainz, Germany) >900 DNA oligonucleotide probes representing microRNAs were spotted in triplicate using the BioRobotics MicroGrid II microarrater (Genomic Solutions, Ann Arbor, MI) according to the manufacturer's directions.

Techniques: Expressing, Microarray

Journal: The Journal of Molecular Diagnostics : JMD

Article Title: Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression

doi: 10.2353/jmoldx.2010.090187

Figure Lengend Snippet: Validation by qRT-PCR. The qRT-PCR validation set included 32 tumor samples: 8 oncocytoma tumors (red stars), 8 chromophobe tumors (yellow diamonds), 8 conventional tumors (blue squares), and 8 papillary tumors (green circles). For each decision point (Figure 4A), the plot on the left side (A, C, or E) shows the log2 expression ratio of the two microRNAs used at this node as measured by microarray (horizontal, calculated as the log2 ratio of the normalized fluorescence signal) and by qRT-PCR (vertical, calculated as the difference in normalized Ct values). In each plot, the vertical line demarcates the classification threshold trained on the microarray data, while the horizontal line indicates the classification threshold that was chosen for the qRT-PCR data, based on the microarray threshold (Methods). The plots on the right side (B, D, or F) show the qRT-PCR data (normalized Cts) of the two microRNAs in the samples of the relevant subtypes at each node. The gray shaded regions indicate the thresholds for classification for each pair of microRNAs, indicating in each case the right branch in the binary classification tree (Figure 4A). A: Log2 expression ratio of [hsa-miR-221/hsa-miR-210] in microarray and qRT-PCR. Correlation coefficient was 0.92. B: Normalized Cts of hsa-miR-221 and hsa-miR-210 in 32 samples. C: Log2 expression ratio of [hsa-miR-139-5p/hsa-miR-200c] in microarray and qRT-PCR. Correlation coefficient was 0.86. D: Normalized Cts of hsa-miR-139-5p and hsa-miR-200c in 16 oncocytoma and chromophobe samples. E: Log2 expression ratio of [hsa-miR-126/hsa-miR-31] in microarray and qRT-PCR. Correlation coefficient was 0.98. F: Normalized Cts of hsa-miR-126 and hsa-miR-31 in 16 conventional and papillary samples.

Article Snippet: 31 , 37 Briefly on Slide E coated microarray slides (Schott Nexterion, Mainz, Germany) >900 DNA oligonucleotide probes representing microRNAs were spotted in triplicate using the BioRobotics MicroGrid II microarrater (Genomic Solutions, Ann Arbor, MI) according to the manufacturer's directions.

Techniques: Biomarker Discovery, Quantitative RT-PCR, Expressing, Microarray, Fluorescence

Journal: The Journal of Molecular Diagnostics : JMD

Article Title: Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression

doi: 10.2353/jmoldx.2010.090187

Figure Lengend Snippet: Classification of Renal Tumors Using Expression Levels of 6 MicroRNAs

Article Snippet: 31 , 37 Briefly on Slide E coated microarray slides (Schott Nexterion, Mainz, Germany) >900 DNA oligonucleotide probes representing microRNAs were spotted in triplicate using the BioRobotics MicroGrid II microarrater (Genomic Solutions, Ann Arbor, MI) according to the manufacturer's directions.

Techniques: Expressing, Biomarker Discovery, Microarray