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microarray-based gene expression analysis protocol  (Arraystar inc)

 
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    Arraystar inc microarray-based gene expression analysis protocol
    Microarray Based Gene Expression Analysis Protocol, 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/expression+microarray+analysis/gene+expression+microarray+analysis/pm39096478-76-13-13
    Average 90 stars, based on 1 article reviews
    microarray-based gene expression analysis protocol - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Quantitative Proteomics:

    Article Title: Circular RNA differential expression profiles and bioinformatics analysis of hsa_circRNA_079422 in human endometrial carcinoma.
    Article Snippet: .. Differential expression profiles were revealed by Arraystar human circRNA microarray analysis. ..

    Microarray:

    Article Title: Circular RNA differential expression profiles and bioinformatics analysis of hsa_circRNA_079422 in human endometrial carcinoma.
    Article Snippet: .. Differential expression profiles were revealed by Arraystar human circRNA microarray analysis. ..

    Article Title: Construction of Immune-Related circRNA-miRNA-mRNA Network and Identification of circRNAs as Biomarkers in Coronary Atherosclerotic Heart Disease.
    Article Snippet: .. In this study, the Arraystar Human circRNA Array V2 analysis was used to obtain the circRNA microarray dataset of CHD, and the gene expression profile of CHD was derived from a public database. ..

    Article Title: Correlation between serum circRNA and thyroid micropapillary carcinoma with cervical lymph node metastasis
    Article Snippet: .. By differential gene expression analysis, a total of 690 circRNAs were detected by the Arraystar Human CircRNA Microarray. ..

    Article Title: MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease.
    Article Snippet: .. Bioinformatics analysis and target gene prediction The Arraystar miRNA expression profile microarray raw data was screened using P-value <0.05 and FC >1.5 as criteria. ..

    other:

    Article Title: Identification of key genes and pathway related to chemoresistance of small cell lung cancer through an integrative bioinformatics analysis
    Article Snippet: For the microarray analysis, Human LncRNA Array v2.0 (8 x 60K, Arraystar, USA) was employed.

    Article Title: The Long Noncoding RNA RP11-728F11.4 Promotes Atherosclerosis
    Article Snippet: A differential expression analysis using Arraystar LncRNA Expression Microarray V3.0 on human atherosclerotic tissues and healthy arterial specimens detected RP11-728F11.4 being one of the most significantly upregulated lncRNAs in atherosclerotic plaques (a 30-fold increase, P=2.87×10−5).

    Article Title: The pseudogene URAHP promotes proliferation and regulates the pathogenesis of preeclampsia
    Article Snippet: Total RNA was extracted from the placentae and differentially expressed lncRNAs and mRNAs in PE and NP were identified by Arraystar Human LncRNA Expression Microarray V4.0 analysis.

    Article Title: The establishment of CDK9/RNA PolII/H3K4me3/DNA methylation feedback promotes HOTAIR expression by RNA elongation enhancement in cancer
    Article Snippet: Microarray analysis of lncRNA expression on 4 pairs of PDAC tumor samples was performed on Arraystar Human LncRNA Microarray V4.0 platform.

    Gene Expression:

    Article Title: Construction of Immune-Related circRNA-miRNA-mRNA Network and Identification of circRNAs as Biomarkers in Coronary Atherosclerotic Heart Disease.
    Article Snippet: .. In this study, the Arraystar Human circRNA Array V2 analysis was used to obtain the circRNA microarray dataset of CHD, and the gene expression profile of CHD was derived from a public database. ..

    Article Title: Correlation between serum circRNA and thyroid micropapillary carcinoma with cervical lymph node metastasis
    Article Snippet: .. By differential gene expression analysis, a total of 690 circRNAs were detected by the Arraystar Human CircRNA Microarray. ..

    Derivative Assay:

    Article Title: Construction of Immune-Related circRNA-miRNA-mRNA Network and Identification of circRNAs as Biomarkers in Coronary Atherosclerotic Heart Disease.
    Article Snippet: .. In this study, the Arraystar Human circRNA Array V2 analysis was used to obtain the circRNA microarray dataset of CHD, and the gene expression profile of CHD was derived from a public database. ..

    Expressing:

    Article Title: MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease.
    Article Snippet: .. Bioinformatics analysis and target gene prediction The Arraystar miRNA expression profile microarray raw data was screened using P-value <0.05 and FC >1.5 as criteria. ..

    Significance Assay:

    Article Title: MiR-223-3p regulates erythropoiesis by targeting TGFBR3/Smad signaling pathway in hemoglobin H-Constant Spring disease.
    Article Snippet: .. Bioinformatics analysis and target gene prediction The Arraystar miRNA expression profile microarray raw data was screened using P-value <0.05 and FC >1.5 as criteria. ..



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    Agilent technologies microarray-based gene expression analysis guide
    NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by <t>microarray</t> analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.
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    Image Search Results


    NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

    Journal: Journal of Experimental Botany

    Article Title: NAC61 regulates late- and post-ripening osmotic, oxidative, and biotic stress responses in grapevine

    doi: 10.1093/jxb/erad507

    Figure Lengend Snippet: NAC61 expression analysis. (A) NAC61 expression behavior in grapevine organs throughout development (bar plot) and compared in the heatmap (logarithmic value) with that of NAC60 and NAC33. The data were retrieved from the atlas transcriptomic dataset of cv. ‘Corvina’ ( Fasoli et al ., 2012 ). Each value represents the mean ±SD of three biological replicates. (B) Correlation between NAC61 expression level and sugar content in grape berries sampled from fruit set to maturity in cv. ‘Cabernet Sauvignon’ and cv. ‘Pinot noir’ ( Fasoli et al ., 2018 ). The black line represents the trend of the averaged values of the two varieties. The R 2 values shown correspond to the fitting of different polynomial regressions to each corresponding group of samples (orange for cv. ‘Cabernet Sauvignon’ samples, blue for cv. ‘Pinot noir’ samples, and black for the entire set of samples). (C) Correlation between NAC61 expression level and sugar content in grape berries sampled during post-harvest dehydration in six different varieties ( Zenoni et al ., 2016 ). (D) Correlation between NAC61 expression level and berry weight loss in cv. ‘Corvina’ berries sampled during traditional long and forced short post-harvest dehydration processes ( Zenoni et al ., 2020 ). Expression values were determined by microarray analysis and each value represents the mean ±SD from three biological replicates. (E) NAC61 GCNs based on berry, leaf, and tissue-independent (TI) datasets. Left, Venn diagram showing exclusive and shared genes based on the three datasets; right, three-dimensional plot of co-expressed genes in which NAC, WRKY, and ZIP family members already described as having involvement in berry ripening and/or stress responses are indicated.

    Article Snippet: The cDNA synthesis, labelling, hybridization, and washing steps were performed according to the Agilent Microarray-Based Gene Expression Analysis Guide ( https://www.agilent.com/cs/library/usermanuals/Public/G4140-90040_GeneExpression_OneColor_6.9.pdf ).

    Techniques: Expressing, Microarray