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miscript mirna pcr arrays & assays data analysis tool  (Qiagen)


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    Structured Review

    Qiagen miscript mirna pcr arrays & assays data analysis tool
    Miscript Mirna Pcr Arrays & Assays Data Analysis Tool, supplied by Qiagen, 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/miscript+mirna+pcr+array+data+analysis+tool/miscript+mirna+pcr+array+data+analysis+software/pm37655273-52-49-48
    Average 90 stars, based on 1 article reviews
    miscript mirna pcr arrays & assays data analysis tool - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Polymerase Chain Reaction:

    Article Title: Circulating miR-451a Expression May Predict Recurrence in Atrial Fibrillation Patients after Catheter Pulmonary Vein Ablation
    Article Snippet: RT-qPCR was performed using the miScript SYBR Green PCR kit (Qiagen, Hilden, Germany) in a QuantStudioTM 7 Flex Real-Time PCR System, 384-well plates (Applied-Biosystems, Carlsbad, CA, USA), according to the manufacturer’s indications. .. The miScript miRNA PCR Array Data Analysis Tool (Qiagen, Hilden, Germany) was used for all calculations. ..

    Article Title: Cell-Specific Post-Transcriptional Regulation of γ-Synuclein Gene by Micro-RNAs
    Article Snippet: Real time PCR was done using an ABI 7900 SDS Real Time instrument (Life Technologies). .. Raw data was exported from the real-time instrument software and fold regulation was calculated using the Delta Delta CT method by the miScript miRNA PCR Array Data Analysis tool as described in http://www.sabiosciences.com/mirnaArrayDataAnalysis.php . ..

    Article Title: Circulating miR-499a and miR-125b as Potential Predictors of Left Ventricular Ejection Fraction Improvement after Cardiac Resynchronization Therapy
    Article Snippet: .. Commonly expressed miRNAs were identified as those with Ct values <30 in all samples, utilizing the miScript miRNA PCR Array Data Analysis Tool (Qiagen, Hilden, Germany). ..

    Article Title: miRNA-128 and miRNA-223 regulate cholesterol-mediated drug resistance in breast cancer.
    Article Snippet: After which RT-qPCR was performed, with appropriate controls (RNU6 was included as the housekeeping control), using the CFX96 Touch Real-Time PCR Detection System (Bio-Rad, USA). .. Analysis was performed using the miScript miRNA PCR Array data analysis tool (Qiagen, Germany). ..

    Article Title: Restoration of aged hematopoietic cells by their young counterparts through instructive microvesicles release.
    Article Snippet: .. The data were analyzed with the online miScript miRNA PCR Array data analysis tool (Qiagen). ..

    Article Title: Circulating miR-451a Expression May Predict Recurrence in Atrial Fibrillation Patients after Catheter Pulmonary Vein Ablation.
    Article Snippet: RT-qPCR was performed using the miScript SYBR Green PCR kit (Qiagen, Hilden, Germany) in a QuantStudioTM 7 Flex Real-Time PCR System, 384-well plates (Applied-Biosystems, Carlsbad, CA, USA), according to the manufacturer’s indications. .. The miScript miRNA PCR Array Data Analysis Tool (Qiagen, Hilden, Germany) was used for all calculations. ..

    Article Title: Novel methods to identify TCM constitution of hyperlipidemic patients and predict atherosclerotic diseases
    Article Snippet: .. The free, web-based miScript miRNA PCR Array data analysis tool ( https://www.qiagen.com/cn/shop/genes-and-pathways/data-analy ) simplifies the analysis of real-time PCR data. ..

    Article Title: Comparison of miRNA expressions among benign, premalignant and malignant lesions of the larynx: could they be transformation biomarkers?
    Article Snippet: .. Then, the Ct data were analyzed according to the fold-change (2(−ΔΔCT)) method and converted into fold regulation values using the online miScript miRNA PCR Array Data Analysis Tool ( www.qiagen.com ). p values under 0.05 were considered statistically significant. ..

    Software:

    Article Title: Cell-Specific Post-Transcriptional Regulation of γ-Synuclein Gene by Micro-RNAs
    Article Snippet: Real time PCR was done using an ABI 7900 SDS Real Time instrument (Life Technologies). .. Raw data was exported from the real-time instrument software and fold regulation was calculated using the Delta Delta CT method by the miScript miRNA PCR Array Data Analysis tool as described in http://www.sabiosciences.com/mirnaArrayDataAnalysis.php . ..

    Real-time Polymerase Chain Reaction:

    Article Title: Novel methods to identify TCM constitution of hyperlipidemic patients and predict atherosclerotic diseases
    Article Snippet: .. The free, web-based miScript miRNA PCR Array data analysis tool ( https://www.qiagen.com/cn/shop/genes-and-pathways/data-analy ) simplifies the analysis of real-time PCR data. ..



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    Qiagen miscript mirna pcr arrays & assays data analysis tool
    Miscript Mirna Pcr Arrays & Assays Data Analysis Tool, supplied by Qiagen, 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/miscript+mirna+pcr+array+data+analysis+tool/miscript+mirna+pcr+array+data+analysis+software/pm37655273-52-49-48
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    Qiagen miscript mirna pcr array data analysis tool software
    Identification of differentially expressed miRNAs. (A) Hierarchical cluster analysis. Red—increased <t>miRNA;</t> green—decreased miRNA; black—no changes in expression. The magnitude of gene expression is determined by calculating the 2-ΔCT for each gene and normalizing to the average 2-ΔCT of all genes across all arrays. Volcano plot of differentially expressed miRNAs in serum; (B) group of patients with steatosis and (C) group of patients with NASH. Plots show the relationship between fold change and statistical significance. The solid vertical line shows no change in gene expression (log 2 1 = 0). Data points to the right of the solid vertical line indicate activated genes, and data points to the left indicate repressed genes. The dashed lines represent the threshold—2. The solid vertical line represents the threshold of statistical significance, p < 0.05. Thus, the blue and yellow dots in the graph indicate >2.0-fold activation and suppression of expression with statistical significance. (D) Venn plot of miRNA profile overlap showing common and unique miRNAs in serum from groups of patients with steatosis and NASH. Expression activation is highlighted in red, while statistically significant expression suppression is highlighted in black (D) .
    Miscript Mirna Pcr Array Data Analysis Tool Software, supplied by Qiagen, 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/miscript+mirna+pcr+array+data+analysis+tool/miscript+mirna+pcr+array+data+analysis+software/pmc08458751-78-5-13
    Average 90 stars, based on 1 article reviews
    miscript mirna pcr array data analysis tool software - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    Image Search Results


    Identification of differentially expressed miRNAs. (A) Hierarchical cluster analysis. Red—increased miRNA; green—decreased miRNA; black—no changes in expression. The magnitude of gene expression is determined by calculating the 2-ΔCT for each gene and normalizing to the average 2-ΔCT of all genes across all arrays. Volcano plot of differentially expressed miRNAs in serum; (B) group of patients with steatosis and (C) group of patients with NASH. Plots show the relationship between fold change and statistical significance. The solid vertical line shows no change in gene expression (log 2 1 = 0). Data points to the right of the solid vertical line indicate activated genes, and data points to the left indicate repressed genes. The dashed lines represent the threshold—2. The solid vertical line represents the threshold of statistical significance, p < 0.05. Thus, the blue and yellow dots in the graph indicate >2.0-fold activation and suppression of expression with statistical significance. (D) Venn plot of miRNA profile overlap showing common and unique miRNAs in serum from groups of patients with steatosis and NASH. Expression activation is highlighted in red, while statistically significant expression suppression is highlighted in black (D) .

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Analysis of miRNAs Profiles in Serum of Patients With Steatosis and Steatohepatitis

    doi: 10.3389/fcell.2021.736677

    Figure Lengend Snippet: Identification of differentially expressed miRNAs. (A) Hierarchical cluster analysis. Red—increased miRNA; green—decreased miRNA; black—no changes in expression. The magnitude of gene expression is determined by calculating the 2-ΔCT for each gene and normalizing to the average 2-ΔCT of all genes across all arrays. Volcano plot of differentially expressed miRNAs in serum; (B) group of patients with steatosis and (C) group of patients with NASH. Plots show the relationship between fold change and statistical significance. The solid vertical line shows no change in gene expression (log 2 1 = 0). Data points to the right of the solid vertical line indicate activated genes, and data points to the left indicate repressed genes. The dashed lines represent the threshold—2. The solid vertical line represents the threshold of statistical significance, p < 0.05. Thus, the blue and yellow dots in the graph indicate >2.0-fold activation and suppression of expression with statistical significance. (D) Venn plot of miRNA profile overlap showing common and unique miRNAs in serum from groups of patients with steatosis and NASH. Expression activation is highlighted in red, while statistically significant expression suppression is highlighted in black (D) .

    Article Snippet: PCR data were analyzed using miScript miRNA PCR Array Data Analysis Tool software (Qiagen, Hilden, Germany), in which the qRT-PCR modules convert the threshold cycle (Ct) values into the calculated results for miRNA expression and also via the comparative Ct method by 2 –ΔΔCt. three samples were excluded because they did not pass the quality tests (PCR array reproducibility/RT efficiency:—1 sample from healthy donors and 2 samples from NAFLD patients).

    Techniques: Expressing, Gene Expression, Activation Assay

    Gene set enrichment analysis performed on the KEGG pathway database for two groups. (A) Target gene set of miRNA that were significantly deregulated in the group of patients with steatosis ( p ≤ 0.05); (B) Target gene set of miRNA that were significantly deregulated in the group of patients with NASH ( p ≤ 0.05). Common pathways in steatosis and NASH are highlighted in red. Hits—number of target genes represented in the pathway.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Analysis of miRNAs Profiles in Serum of Patients With Steatosis and Steatohepatitis

    doi: 10.3389/fcell.2021.736677

    Figure Lengend Snippet: Gene set enrichment analysis performed on the KEGG pathway database for two groups. (A) Target gene set of miRNA that were significantly deregulated in the group of patients with steatosis ( p ≤ 0.05); (B) Target gene set of miRNA that were significantly deregulated in the group of patients with NASH ( p ≤ 0.05). Common pathways in steatosis and NASH are highlighted in red. Hits—number of target genes represented in the pathway.

    Article Snippet: PCR data were analyzed using miScript miRNA PCR Array Data Analysis Tool software (Qiagen, Hilden, Germany), in which the qRT-PCR modules convert the threshold cycle (Ct) values into the calculated results for miRNA expression and also via the comparative Ct method by 2 –ΔΔCt. three samples were excluded because they did not pass the quality tests (PCR array reproducibility/RT efficiency:—1 sample from healthy donors and 2 samples from NAFLD patients).

    Techniques:

    Gene set enrichment analysis performed on the REACTOME metabolic pathway database on two gene sets. (A) Target gene set of miRNA that were significantly deregulated in the group of patients with steatosis ( p ≤ 0.05); (B) Target gene set of miRNA that were significantly deregulated in the group of patients with NASH ( p ≤ 0.05). The common pathways in steatosis and NASH are highlighted in red. Hits—number of target genes represented in the pathway.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Analysis of miRNAs Profiles in Serum of Patients With Steatosis and Steatohepatitis

    doi: 10.3389/fcell.2021.736677

    Figure Lengend Snippet: Gene set enrichment analysis performed on the REACTOME metabolic pathway database on two gene sets. (A) Target gene set of miRNA that were significantly deregulated in the group of patients with steatosis ( p ≤ 0.05); (B) Target gene set of miRNA that were significantly deregulated in the group of patients with NASH ( p ≤ 0.05). The common pathways in steatosis and NASH are highlighted in red. Hits—number of target genes represented in the pathway.

    Article Snippet: PCR data were analyzed using miScript miRNA PCR Array Data Analysis Tool software (Qiagen, Hilden, Germany), in which the qRT-PCR modules convert the threshold cycle (Ct) values into the calculated results for miRNA expression and also via the comparative Ct method by 2 –ΔΔCt. three samples were excluded because they did not pass the quality tests (PCR array reproducibility/RT efficiency:—1 sample from healthy donors and 2 samples from NAFLD patients).

    Techniques:

    Percentage and amount of NAFLD pathogenesis genes targeted by differentially expressed miRNAs. (A) Percentage of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis; (B) Venn plot of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis; (C) Percentage of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH; (D) Venn plot of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH. Pink—genes targeted by downregulated miRNAs; light blue—genes targeted by upregulated miRNAs; purple—genes targeted by both up- and downregulated miRNAs.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Analysis of miRNAs Profiles in Serum of Patients With Steatosis and Steatohepatitis

    doi: 10.3389/fcell.2021.736677

    Figure Lengend Snippet: Percentage and amount of NAFLD pathogenesis genes targeted by differentially expressed miRNAs. (A) Percentage of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis; (B) Venn plot of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis; (C) Percentage of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH; (D) Venn plot of NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH. Pink—genes targeted by downregulated miRNAs; light blue—genes targeted by upregulated miRNAs; purple—genes targeted by both up- and downregulated miRNAs.

    Article Snippet: PCR data were analyzed using miScript miRNA PCR Array Data Analysis Tool software (Qiagen, Hilden, Germany), in which the qRT-PCR modules convert the threshold cycle (Ct) values into the calculated results for miRNA expression and also via the comparative Ct method by 2 –ΔΔCt. three samples were excluded because they did not pass the quality tests (PCR array reproducibility/RT efficiency:—1 sample from healthy donors and 2 samples from NAFLD patients).

    Techniques:

    The modified NAFLD pathogenesis map showing epigenetic regulatory signatures in steatosis and NASH. (A) Predicted NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis are highlighted; (B) Predicted NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH are highlighted. Pink—genes targeted by downregulated miRNAs; light blue—genes targeted by upregulated miRNAs; purple—genes targeted by both up- and downregulated miRNAs. The pathway was imported from WikiPathways.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Analysis of miRNAs Profiles in Serum of Patients With Steatosis and Steatohepatitis

    doi: 10.3389/fcell.2021.736677

    Figure Lengend Snippet: The modified NAFLD pathogenesis map showing epigenetic regulatory signatures in steatosis and NASH. (A) Predicted NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with steatosis are highlighted; (B) Predicted NAFLD pathogenesis genes targeted by differentially expressed miRNAs in the group of patients with NASH are highlighted. Pink—genes targeted by downregulated miRNAs; light blue—genes targeted by upregulated miRNAs; purple—genes targeted by both up- and downregulated miRNAs. The pathway was imported from WikiPathways.

    Article Snippet: PCR data were analyzed using miScript miRNA PCR Array Data Analysis Tool software (Qiagen, Hilden, Germany), in which the qRT-PCR modules convert the threshold cycle (Ct) values into the calculated results for miRNA expression and also via the comparative Ct method by 2 –ΔΔCt. three samples were excluded because they did not pass the quality tests (PCR array reproducibility/RT efficiency:—1 sample from healthy donors and 2 samples from NAFLD patients).

    Techniques: Modification