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human circrna microarray v1  (Arraystar inc)

 
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    Arraystar inc human circrna microarray v1
    Human Circrna Microarray V1, 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/human+circrna+microarray+v1/human+circrna+array+v2/pm40473597-55-8-7
    Average 90 stars, based on 1 article reviews
    human circrna microarray v1 - by Bioz Stars, 2026-10
    90/100 stars

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    Microarray:

    Article Title: circZMYM2 Competed Endogenously with miR-335-5p to Regulate JMJD2C in Pancreatic Cancer.
    Article Snippet: .. Methods: CircRNA differential expressions in twenty PC samples and paired normal tissue samples were analyzed using Arraystar Human CircRNA microarray V1. ..

    Article Title: Circular RNA TFRC/ SCD1 mRNA interaction regulates ferroptosis and metastasis in gastric cancer
    Article Snippet: .. CircRNA expression profiling was performed using the Arraystar Human CircRNA microarray V1 ( GSE93541 , GSE83521 ) and V2 ( GSE194384 ) on GPL19978 and GPL21825 platforms, respectively. ..

    Article Title: circRNA circ_102049 Implicates in Pancreatic Ductal Adenocarcinoma Progression through Activating CD80 by Targeting miR-455-3p
    Article Snippet: .. GSE69362 , 27997903 , GPL19978 Agilent-069978 Arraystar Human CircRNA microarray V1 , 12 (6/6) , circRNA , 170. .. GSE79634 , 29620241 , GPL19978 Agilent-069978 Arraystar Human CircRNA microarray V1 , 40 (20/20) , circRNA , 289.

    Article Title: Identification of Novel RNA Binding Proteins Influencing Circular RNA Expression in Hepatocellular Carcinoma
    Article Snippet: .. The datasets originated from the same platform: Agilent-069978 Arraystar Human CircRNA microarray V1. ..

    Article Title: Circular RNA TFRC/SCD1 mRNA interaction regulates ferroptosis and metastasis in gastric cancer.
    Article Snippet: .. CircRNA expression profiling was performed using the Arraystar Human CircRNA microarray V1 (GSE93541, GSE83521) and V2 (GSE194384) on GPL19978 and GPL21825 platforms, respectively. ..

    Expressing:

    Article Title: Circular RNA TFRC/ SCD1 mRNA interaction regulates ferroptosis and metastasis in gastric cancer
    Article Snippet: .. CircRNA expression profiling was performed using the Arraystar Human CircRNA microarray V1 ( GSE93541 , GSE83521 ) and V2 ( GSE194384 ) on GPL19978 and GPL21825 platforms, respectively. ..

    Article Title: Circular RNA TFRC/SCD1 mRNA interaction regulates ferroptosis and metastasis in gastric cancer.
    Article Snippet: .. CircRNA expression profiling was performed using the Arraystar Human CircRNA microarray V1 (GSE93541, GSE83521) and V2 (GSE194384) on GPL19978 and GPL21825 platforms, respectively. ..



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    human circrna microarray v1  (Arraystar inc)
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    Arraystar inc human circrna microarray v1
    Human Circrna Microarray V1, 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/human+circrna+microarray+v1/human+circrna+array+v2/pm40473597-55-8-7
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    -069978 arraystar human circrna microarray v1  (Agilent technologies)
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    Agilent technologies -069978 arraystar human circrna microarray v1
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    arraystar human circrna microarray v1  (Agilent technologies)
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    Detailed information of the datasets selected in this study.
    Arraystar Human Circrna Microarray V1, supplied by Agilent technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    gpl19978 agilent-069978 arraystar human circrna microarray v1  (Agilent technologies)
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    Agilent technologies gpl19978 agilent-069978 arraystar human circrna microarray v1
    <t>Microarray</t> transcriptomic signature of circRNAs in human papillary thyroid carcinoma. ( A ) Characteristics of six PTC patients were retrieved from the Gene Expression Omnibus database (GSE93522). PTC was compared with their paired contralateral normal thyroid tissues ( B ) Boxplots showing the distribution of the values of the selected samples. Median-centered values are indicated after log transform and quantile normalization. ( C ) Principal component analysis for data exploration. The geometrical projection for samples is based on the similarities and differences in the expression of 2895 circRNAs. Samples are plotted across two coordinates; axis 1 explained 52.1% of the variance, whereas axis 2 demonstrated 17% of the data variability. ( D ) Volcano plot displays statistical significance (−log10 p -value) versus magnitude of change (log2 fold change) in PTC compared with controls. Each dot represents a circRNA. The plot shows 137 significantly differentially expressed circRNAs (DEC): 115 upregulated (red dots) and 22 downregulated (blue dots). Analysis was performed using GEO2R software, with the p -value threshold at <0.05 and log fold changes (FC) at >1. ( E ) Heatmap for the 12 thyroid tissue specimens using the 137 differentially expressed circRNAs. There was an upregulation pattern of genes in patient samples. Clear differentiation of four PTC tissues and incomplete separation of two others are shown. ( F ) Principal component analysis to visualize how samples are related to each other. By using the deregulated genes, a complete demarcation was observed between PTC and normal tissues. Axes 1 and 2 explain 66.6% and 9.7% of the variability, respectively. ( G ) The top-up and downregulated circRNAs in PTC tissues. Derived protein-coding genes from which circRNAs were formed are shown. Fold change values are depicted at the end of the bars. ( H ) Frequency of tested circRNAs in the microarray according to their chromosomal localization. Y axis is log10 transformed, and the X axis represents the human chromosomes with removed missing chromosomes (chromosomes 18, 21, and Y). ( I ) Chromosomal ideograms represent the differentially expressed circRNAs annotated with lines in color at specific base-pair locations: blue for upregulated DECs and green for downregulated DECs.
    Gpl19978 Agilent 069978 Arraystar Human Circrna Microarray V1, supplied by Agilent technologies, 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/human+circrna+microarray+v1/pmc09564022-359-4-5
    Average 90 stars, based on 1 article reviews
    gpl19978 agilent-069978 arraystar human circrna microarray v1 - by Bioz Stars, 2026-10
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    Detailed information of the datasets selected in this study.

    Journal: Annals of Medicine

    Article Title: Reveal the potential molecular mechanism of circRNA regulating immune-related mRNA through sponge miRNA in the occurrence and immune regulation of papillary thyroid cancer

    doi: 10.1080/07853890.2023.2244515

    Figure Lengend Snippet: Detailed information of the datasets selected in this study.

    Article Snippet: GSE93522 , Nianchun Peng , GPL19978 Agilent-069978 Arraystar Human CircRNA microarray V1 , 6 : 6 , 2017 , Tissue , circRNA.

    Techniques: Microarray

    Microarray transcriptomic signature of circRNAs in human papillary thyroid carcinoma. ( A ) Characteristics of six PTC patients were retrieved from the Gene Expression Omnibus database (GSE93522). PTC was compared with their paired contralateral normal thyroid tissues ( B ) Boxplots showing the distribution of the values of the selected samples. Median-centered values are indicated after log transform and quantile normalization. ( C ) Principal component analysis for data exploration. The geometrical projection for samples is based on the similarities and differences in the expression of 2895 circRNAs. Samples are plotted across two coordinates; axis 1 explained 52.1% of the variance, whereas axis 2 demonstrated 17% of the data variability. ( D ) Volcano plot displays statistical significance (−log10 p -value) versus magnitude of change (log2 fold change) in PTC compared with controls. Each dot represents a circRNA. The plot shows 137 significantly differentially expressed circRNAs (DEC): 115 upregulated (red dots) and 22 downregulated (blue dots). Analysis was performed using GEO2R software, with the p -value threshold at <0.05 and log fold changes (FC) at >1. ( E ) Heatmap for the 12 thyroid tissue specimens using the 137 differentially expressed circRNAs. There was an upregulation pattern of genes in patient samples. Clear differentiation of four PTC tissues and incomplete separation of two others are shown. ( F ) Principal component analysis to visualize how samples are related to each other. By using the deregulated genes, a complete demarcation was observed between PTC and normal tissues. Axes 1 and 2 explain 66.6% and 9.7% of the variability, respectively. ( G ) The top-up and downregulated circRNAs in PTC tissues. Derived protein-coding genes from which circRNAs were formed are shown. Fold change values are depicted at the end of the bars. ( H ) Frequency of tested circRNAs in the microarray according to their chromosomal localization. Y axis is log10 transformed, and the X axis represents the human chromosomes with removed missing chromosomes (chromosomes 18, 21, and Y). ( I ) Chromosomal ideograms represent the differentially expressed circRNAs annotated with lines in color at specific base-pair locations: blue for upregulated DECs and green for downregulated DECs.

    Journal: Cancers

    Article Title: A Review and In Silico Analysis of Tissue and Exosomal Circular RNAs: Opportunities and Challenges in Thyroid Cancer

    doi: 10.3390/cancers14194728

    Figure Lengend Snippet: Microarray transcriptomic signature of circRNAs in human papillary thyroid carcinoma. ( A ) Characteristics of six PTC patients were retrieved from the Gene Expression Omnibus database (GSE93522). PTC was compared with their paired contralateral normal thyroid tissues ( B ) Boxplots showing the distribution of the values of the selected samples. Median-centered values are indicated after log transform and quantile normalization. ( C ) Principal component analysis for data exploration. The geometrical projection for samples is based on the similarities and differences in the expression of 2895 circRNAs. Samples are plotted across two coordinates; axis 1 explained 52.1% of the variance, whereas axis 2 demonstrated 17% of the data variability. ( D ) Volcano plot displays statistical significance (−log10 p -value) versus magnitude of change (log2 fold change) in PTC compared with controls. Each dot represents a circRNA. The plot shows 137 significantly differentially expressed circRNAs (DEC): 115 upregulated (red dots) and 22 downregulated (blue dots). Analysis was performed using GEO2R software, with the p -value threshold at <0.05 and log fold changes (FC) at >1. ( E ) Heatmap for the 12 thyroid tissue specimens using the 137 differentially expressed circRNAs. There was an upregulation pattern of genes in patient samples. Clear differentiation of four PTC tissues and incomplete separation of two others are shown. ( F ) Principal component analysis to visualize how samples are related to each other. By using the deregulated genes, a complete demarcation was observed between PTC and normal tissues. Axes 1 and 2 explain 66.6% and 9.7% of the variability, respectively. ( G ) The top-up and downregulated circRNAs in PTC tissues. Derived protein-coding genes from which circRNAs were formed are shown. Fold change values are depicted at the end of the bars. ( H ) Frequency of tested circRNAs in the microarray according to their chromosomal localization. Y axis is log10 transformed, and the X axis represents the human chromosomes with removed missing chromosomes (chromosomes 18, 21, and Y). ( I ) Chromosomal ideograms represent the differentially expressed circRNAs annotated with lines in color at specific base-pair locations: blue for upregulated DECs and green for downregulated DECs.

    Article Snippet: The platform used was “GPL19978 Agilent-069978 Arraystar Human CircRNA microarray V1”.

    Techniques: Microarray, Expressing, Software, Derivative Assay, Transformation Assay