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microarray gene expression analysis  (Micromass UK Limited)

 
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    Micromass UK Limited microarray gene expression analysis
    Microarray Gene Expression Analysis, supplied by Micromass UK Limited, 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/microarray+gene+expression+analysis/pmc10164575-412-24-18
    Average 90 stars, based on 1 article reviews
    microarray gene expression analysis - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: The temporal transcriptomic signature of cartilage formation
    Article Snippet: .. Temporal changes in key molecular components during the formation of hyaline-like cartilage from infrapatellar fat pad-derived MSCs in a micromass culture were studied using microarray gene expression analysis ( ). ..

    Article Title: The temporal transcriptomic signature of cartilage formation
    Article Snippet: .. Temporal changes in key molecular components during the formation of hyaline-like cartilage from infrapatellar fat pad-derived MSCs in micromass cultures have been studied using microarray gene expression analysis ( ). ..

    Gene Expression:

    Article Title: The temporal transcriptomic signature of cartilage formation
    Article Snippet: .. Temporal changes in key molecular components during the formation of hyaline-like cartilage from infrapatellar fat pad-derived MSCs in a micromass culture were studied using microarray gene expression analysis ( ). ..

    Article Title: The temporal transcriptomic signature of cartilage formation
    Article Snippet: .. Temporal changes in key molecular components during the formation of hyaline-like cartilage from infrapatellar fat pad-derived MSCs in micromass cultures have been studied using microarray gene expression analysis ( ). ..



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    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