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expression microarray analysis  (Phalanx Biotech)

 
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    Structured Review

    Phalanx Biotech expression microarray analysis
    JMJD3 and KIAA1718 share common targets. (A) Expression <t>microarray</t> analyses found that there was a significant overlap between genes down-regulated by JMJD3 shRNAs and KIAA1718 shRNAs. The P-value was calculated by a hypergeometric probability test. The list of genes can be found in Supplemental Table S2. (B) A subset of genes from the common expression microarray list was verified with qRT–PCR. Shown are the relative fold changes of mean ± SEM from three independent experiments. (C) Statistically significant overlap between JMJD3- and KIAA1718-bound genes in TPA-treated HL-60 cells. (D) The scatter plot shows the correlation between JMJD3 and KIAA1718 peak intensities relative to the input. (E) ChIP-seq analysis at the ZC3H12c and CD44 loci.
    Expression Microarray Analysis, supplied by Phalanx Biotech, 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/microarray+expression+analysis/expression+microarray+analysis/pmc03387663-368-22-18
    Average 90 stars, based on 1 article reviews
    expression microarray analysis - by Bioz Stars, 2026-11
    90/100 stars

    Images

    1) Product Images from "The histone H3 Lys 27 demethylase JMJD3 regulates gene expression by impacting transcriptional elongation"

    Article Title: The histone H3 Lys 27 demethylase JMJD3 regulates gene expression by impacting transcriptional elongation

    Journal: Genes & Development

    doi: 10.1101/gad.186056.111

    JMJD3 and KIAA1718 share common targets. (A) Expression microarray analyses found that there was a significant overlap between genes down-regulated by JMJD3 shRNAs and KIAA1718 shRNAs. The P-value was calculated by a hypergeometric probability test. The list of genes can be found in Supplemental Table S2. (B) A subset of genes from the common expression microarray list was verified with qRT–PCR. Shown are the relative fold changes of mean ± SEM from three independent experiments. (C) Statistically significant overlap between JMJD3- and KIAA1718-bound genes in TPA-treated HL-60 cells. (D) The scatter plot shows the correlation between JMJD3 and KIAA1718 peak intensities relative to the input. (E) ChIP-seq analysis at the ZC3H12c and CD44 loci.
    Figure Legend Snippet: JMJD3 and KIAA1718 share common targets. (A) Expression microarray analyses found that there was a significant overlap between genes down-regulated by JMJD3 shRNAs and KIAA1718 shRNAs. The P-value was calculated by a hypergeometric probability test. The list of genes can be found in Supplemental Table S2. (B) A subset of genes from the common expression microarray list was verified with qRT–PCR. Shown are the relative fold changes of mean ± SEM from three independent experiments. (C) Statistically significant overlap between JMJD3- and KIAA1718-bound genes in TPA-treated HL-60 cells. (D) The scatter plot shows the correlation between JMJD3 and KIAA1718 peak intensities relative to the input. (E) ChIP-seq analysis at the ZC3H12c and CD44 loci.

    Techniques Used: Expressing, Microarray, Quantitative RT-PCR, ChIP-sequencing

    Related Articles

    Expressing:

    Article Title: The histone H3 Lys 27 demethylase JMJD3 regulates gene expression by impacting transcriptional elongation
    Article Snippet: .. RNA extracted from two biologically independent groups of stable cells subjected to different treatment was sent to the Phalanx Biotech Group for expression microarray analysis. ..

    Article Title: Anthrax Lethal Toxin Inhibits Translation of Hypoxia-inducible Factor 1α and Causes Decreased Tolerance to Hypoxic Stress
    Article Snippet: .. Gene Expression Profiling RNA was isolated from HepG2 cells cultured under normoxic or hypoxic conditions with or without LT using TRIzol according to the manufacturer's instructions (Invitrogen) and sent to the Phalanx Biotech Group (San Diego) for expression microarray analysis. ..

    Microarray:

    Article Title: The histone H3 Lys 27 demethylase JMJD3 regulates gene expression by impacting transcriptional elongation
    Article Snippet: .. RNA extracted from two biologically independent groups of stable cells subjected to different treatment was sent to the Phalanx Biotech Group for expression microarray analysis. ..

    Article Title: Anthrax Lethal Toxin Inhibits Translation of Hypoxia-inducible Factor 1α and Causes Decreased Tolerance to Hypoxic Stress
    Article Snippet: .. Gene Expression Profiling RNA was isolated from HepG2 cells cultured under normoxic or hypoxic conditions with or without LT using TRIzol according to the manufacturer's instructions (Invitrogen) and sent to the Phalanx Biotech Group (San Diego) for expression microarray analysis. ..

    Gene Expression:

    Article Title: Anthrax Lethal Toxin Inhibits Translation of Hypoxia-inducible Factor 1α and Causes Decreased Tolerance to Hypoxic Stress
    Article Snippet: .. Gene Expression Profiling RNA was isolated from HepG2 cells cultured under normoxic or hypoxic conditions with or without LT using TRIzol according to the manufacturer's instructions (Invitrogen) and sent to the Phalanx Biotech Group (San Diego) for expression microarray analysis. ..

    Isolation:

    Article Title: Anthrax Lethal Toxin Inhibits Translation of Hypoxia-inducible Factor 1α and Causes Decreased Tolerance to Hypoxic Stress
    Article Snippet: .. Gene Expression Profiling RNA was isolated from HepG2 cells cultured under normoxic or hypoxic conditions with or without LT using TRIzol according to the manufacturer's instructions (Invitrogen) and sent to the Phalanx Biotech Group (San Diego) for expression microarray analysis. ..

    Cell Culture:

    Article Title: Anthrax Lethal Toxin Inhibits Translation of Hypoxia-inducible Factor 1α and Causes Decreased Tolerance to Hypoxic Stress
    Article Snippet: .. Gene Expression Profiling RNA was isolated from HepG2 cells cultured under normoxic or hypoxic conditions with or without LT using TRIzol according to the manufacturer's instructions (Invitrogen) and sent to the Phalanx Biotech Group (San Diego) for expression microarray 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