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gene-e application  (Broad Institute Inc)

 
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    Broad Institute Inc gene-e application
    DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus <t>Pearson</t> correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).
    Gene E Application, supplied by Broad Institute 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/gene-e+application/pmc06139343-89-6-15?v=Broad+Institute+Inc
    Average 90 stars, based on 1 article reviews
    gene-e application - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "A DNA Methylation Signature of Addiction in T Cells and Its Reversal With DHEA Intervention"

    Article Title: A DNA Methylation Signature of Addiction in T Cells and Its Reversal With DHEA Intervention

    Journal: Frontiers in Molecular Neuroscience

    doi: 10.3389/fnmol.2018.00322

    DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus Pearson correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).
    Figure Legend Snippet: DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus Pearson correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).

    Techniques Used: DNA Methylation Assay, Methylation, MANN-WHITNEY



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    gene-e application  (Broad Institute Inc)
    90
    Broad Institute Inc gene-e application
    DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus <t>Pearson</t> correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).
    Gene E Application, supplied by Broad Institute 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/gene-e+application/pmc06139343-89-6-15?v=Broad+Institute+Inc
    Average 90 stars, based on 1 article reviews
    gene-e application - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

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    DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus Pearson correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).

    Journal: Frontiers in Molecular Neuroscience

    Article Title: A DNA Methylation Signature of Addiction in T Cells and Its Reversal With DHEA Intervention

    doi: 10.3389/fnmol.2018.00322

    Figure Lengend Snippet: DNA methylation differences associated with addiction. (A) Box plot of average methylation of sites that are differentially methylated between addicted and healthy controls. Bottom panel: the average methylation of genes that become less methylated (hypomethylation) and more methylated (hypermethylation) in addicts ∗∗∗ p < 2.2E-16; Mann–Whitney test. (B) Heat map showing clustering by one minus Pearson correlations of healthy controls and addicts using the 5,532 differentially methylated genes (4,458 probes were hypomethylated and 1,074 hypermethylated in addicts).

    Article Snippet: Hierarchical clustering was performed using one minus Pearson correlation and heatmaps were generated using the Broad institute GENE-E application.

    Techniques: DNA Methylation Assay, Methylation, MANN-WHITNEY