circrna target prediction software Search Results


circrna target prediction software  (Arraystar inc)
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Arraystar inc circrna target prediction software
Hierarchical clustering of the <t>circRNA</t> expression data based on ‘All Targets Value’–which arranges the samples into groups based on their expression levels–revealed a distinguishable circRNA expression profiling among samples.
Circrna Target Prediction Software, 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/circrna+target+prediction+software/pmc05347999-144-17-16?v=Arraystar+inc
Average 90 stars, based on 1 article reviews
circrna target prediction software - by Bioz Stars, 2026-07
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Hierarchical clustering of the circRNA expression data based on ‘All Targets Value’–which arranges the samples into groups based on their expression levels–revealed a distinguishable circRNA expression profiling among samples.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: Hierarchical clustering of the circRNA expression data based on ‘All Targets Value’–which arranges the samples into groups based on their expression levels–revealed a distinguishable circRNA expression profiling among samples.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques: Expressing

Scatter plots used to identify differentially-expressed circRNAs in (A) PTC tumors versus normal thyroid tissue and (B) PTC tumors versus benign thyroid lesions. The axis represent the mean normalized circRNA signal values for each comparator group (log 2 scaled). The green fold-change lines represent 2.0× fold-changes, so the circRNAs lying above and below these green lines displayed greater than a 2.0-fold upregulation or downregulation. Volcano plots used to identify differentially-expressed circRNAs in (C) PTC tumors versus normal thyroid tissue and (D) PTC tumors versus benign thyroid lesions. The x -axis represents fold-change values (log 2 scaled), while the y -axis represents p -values (-log 10 scaled). The green vertical lines correspond to 2.0× upregulation and downregulation, respectively, while the green horizontal line corresponds to a p -value of 0.05. On this basis, the red rectangles represent the differentially-expressed circRNAs of statistical significance.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: Scatter plots used to identify differentially-expressed circRNAs in (A) PTC tumors versus normal thyroid tissue and (B) PTC tumors versus benign thyroid lesions. The axis represent the mean normalized circRNA signal values for each comparator group (log 2 scaled). The green fold-change lines represent 2.0× fold-changes, so the circRNAs lying above and below these green lines displayed greater than a 2.0-fold upregulation or downregulation. Volcano plots used to identify differentially-expressed circRNAs in (C) PTC tumors versus normal thyroid tissue and (D) PTC tumors versus benign thyroid lesions. The x -axis represents fold-change values (log 2 scaled), while the y -axis represents p -values (-log 10 scaled). The green vertical lines correspond to 2.0× upregulation and downregulation, respectively, while the green horizontal line corresponds to a p -value of 0.05. On this basis, the red rectangles represent the differentially-expressed circRNAs of statistical significance.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques:

Significantly upregulated circRNAs in PTC tumors versus benign thyroid tissue.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: Significantly upregulated circRNAs in PTC tumors versus benign thyroid tissue.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques:

Significantly downregulated circRNAs in PTC tumors versus benign thyroid tissue.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: Significantly downregulated circRNAs in PTC tumors versus benign thyroid tissue.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques:

The network map consists of the previously identified 12 significantly upregulated circRNAs (represented by red nodes) and four significantly downregulated circRNAs (represented by yellow nodes) along with their 56 target miRNAs (represented by blue nodes). The numerical rank of each circRNA fold-change has been annotated next to each circRNA node.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: The network map consists of the previously identified 12 significantly upregulated circRNAs (represented by red nodes) and four significantly downregulated circRNAs (represented by yellow nodes) along with their 56 target miRNAs (represented by blue nodes). The numerical rank of each circRNA fold-change has been annotated next to each circRNA node.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques:

(A) The targeted pathway heatmap analysis revealed significant correlations (depicted in red) between cancer-related pathways and two miRNA clusters: the miR-141-3p/miR-15a-5p/miR-23b-3p cluster and the miR-200a-3p/miR-214-3p cluster. The color-coded legend depicts the associated log-scaled p -values. (B) Based on the Arraystar-derived network map of circRNA-miRNA interactions, the candidate circRNA hsa_circRNA_100395 was predicted to interact with the two cancer-related miRNAs: hsa-miR-141-3p and hsa-miR-200a-3p. (C) Seed sequence matching predicts the direct interaction of hsa_circRNA_100395 with miR-141-3p and miR-200a-3p.

Journal: PLoS ONE

Article Title: Microarray profiling of circular RNAs in human papillary thyroid carcinoma

doi: 10.1371/journal.pone.0170287

Figure Lengend Snippet: (A) The targeted pathway heatmap analysis revealed significant correlations (depicted in red) between cancer-related pathways and two miRNA clusters: the miR-141-3p/miR-15a-5p/miR-23b-3p cluster and the miR-200a-3p/miR-214-3p cluster. The color-coded legend depicts the associated log-scaled p -values. (B) Based on the Arraystar-derived network map of circRNA-miRNA interactions, the candidate circRNA hsa_circRNA_100395 was predicted to interact with the two cancer-related miRNAs: hsa-miR-141-3p and hsa-miR-200a-3p. (C) Seed sequence matching predicts the direct interaction of hsa_circRNA_100395 with miR-141-3p and miR-200a-3p.

Article Snippet: As circRNAs interact with miRNAs via miRNA response elements (MREs), we searched for putative MREs through Arraystar's circRNA target prediction software.

Techniques: Derivative Assay, Sequencing