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goldengate methylation array  (GoldenGate Software Inc)

 
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    GoldenGate Software Inc goldengate methylation array
    Goldengate Methylation Array, supplied by GoldenGate Software 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/methylation+array/goldengate+methylation+array/pm23226306-138-9-9
    Average 90 stars, based on 1 article reviews
    goldengate methylation array - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Methylation:

    Article Title: Statistical challenges in analyzing methylation and long-range chromosomal interaction data
    Article Snippet: Since 2006, Illumina has produced increasingly dense methylation arrays. .. The GoldenGate methylation array covered 1,536 CpG sites, selected for their proximity to cancer-relevant genes [ 7 ]. .. The Infinium HumanMethylation27 BeadChip array covered 27,578 CpG sites selected to be in or near the promoter regions and CpG islands associated with 14,495 genes [ 8 ].

    Article Title: The Molecular Evolution of Metaplasia to Carcinoma in the Esophagus
    Article Snippet: .. Kaz et al were the first investigators to observe distinct methylation subtypes of BE and EAC using GoldenGate methylation arrays, which survey approximately 1500 cancer related CpGs. ..

    Article Title: Genetic and Epigenetic Alterations in Barrett’s Esophagus and Esophageal Adenocarcinoma
    Article Snippet: .. Kaz and colleagues utilized GoldenGate methylation microarrays (1505 CpGs in 807 genes) to compare methylation of normal squamous (N=30), BE (N=29), BE + HGD (N=8) and EAC (N=30) cases. ..

    Article Title: Aberrant DNA methylation of microRNA genes in human breast cancer - a critical appraisal.
    Article Snippet: Aberrant DNA methylation of regulatory sequences is a well-documented mechanism of functional deletion of genes with anti-tumourigenic properties including microRNAs.. This review discusses the publications describing aberrant methylation of microRNA genes in human breast cancer cells.. Among the anti-tumourigenic properties of epigenetically inactivated microRNA genes, the inhibition of proliferation and of epithelial-to-mesenchymal transition (EMT) are the best studied.

    Article Title: DNA Methylation Profiling across the Spectrum of HPV-Associated Anal Squamous Neoplasia
    Article Snippet: .. Our findings confirm previous reports of high concordance between GoldenGate methylation array technology and conventional methylation assays , . ..

    Article Title: Genetic and Epigenetic Somatic Alterations in Head and Neck Squamous Cell Carcinomas Are Globally Coordinated but Not Locally Targeted
    Article Snippet: .. As the GoldenGate methylation array investigates nearly 800 cancer-involving genes and is enriched for tumor suppressor-associated loci, we were uniquely positioned to investigate just this question. ..

    Article Title: DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
    Article Snippet: .. Based on the genes of the GoldenGate methylation array, our data suggests that DNA methylation in MM is, therefore, not strongly associated with gene expression. .. We then examined if the 31 correlated loci were specifically associated with CpG islands or non-CpG islands by examining the average distance to transcriptional start site (TSS) as per the annotation of probes on the GoldenGate array.

    Article Title: Pharmaceutical compositions for treating cancer
    Article Snippet: .. GoldenGate Methylation arrays, were used to quantify CpG methylation levels at 1505 CpG sites corresponding to 807 genes across the lines. ..

    DNA Methylation Assay:

    Article Title: DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
    Article Snippet: .. Based on the genes of the GoldenGate methylation array, our data suggests that DNA methylation in MM is, therefore, not strongly associated with gene expression. .. We then examined if the 31 correlated loci were specifically associated with CpG islands or non-CpG islands by examining the average distance to transcriptional start site (TSS) as per the annotation of probes on the GoldenGate array.

    Gene Expression:

    Article Title: DNA Methylation in Multiple Myeloma Is Weakly Associated with Gene Transcription
    Article Snippet: .. Based on the genes of the GoldenGate methylation array, our data suggests that DNA methylation in MM is, therefore, not strongly associated with gene expression. .. We then examined if the 31 correlated loci were specifically associated with CpG islands or non-CpG islands by examining the average distance to transcriptional start site (TSS) as per the annotation of probes on the GoldenGate array.

    CpG Methylation Assay:

    Article Title: Pharmaceutical compositions for treating cancer
    Article Snippet: .. GoldenGate Methylation arrays, were used to quantify CpG methylation levels at 1505 CpG sites corresponding to 807 genes across the lines. ..



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    ( A ) Epigenome-wide association study of dpi in PBMCs based on the entire <t>methylation</t> array. The volcano plots display the −log 10 ( P values) and the directionality of association between CpG sites and infection stages (A, EC, and LC) compared with B: A versus B (left panel), EC versus B (center panel), and LC versus B (right panel). Each dot represents a specific DNAme site. Shown are significantly associated CpG sites ( q < 0.05) with hypomethylation (blue), hypermethylation (red), and nonsignificant (gray). The horizontal axis represents the mean methylation change (i.e., the difference between group means), and the vertical axis represents −log 10 ( P values). ( B ) Changes in EA during each infection stage (A, EC, and LC) relative to B. Biological age analysis was performed based on subsets of clock CpGs. EA at the 3 infection time points was compared with B using mixed-effects linear regression modeling of longitudinal EA changes in PBMCs based on 10 epigenetic clocks. The results are shown separately for young (right) and old (left) RMs. Epigenetic age changes in young (blue) and old (red) RMs are shown. Saturated colors indicate statistically significant changes ( P < 0.05); pale colors indicate nonsignificant changes ( P > 0.05). A statistically significant increase in EA was observed only in young RMs. B–H, Benjamini–Hochberg correction; DMP, differentially methylated positions; dpi, days after infection; RMs, rhesus macaques; B, baseline; A, acute; EC, early chronic; LC, late chronic; EA, epigenetic age.
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    Image Search Results


    ( A ) Epigenome-wide association study of dpi in PBMCs based on the entire methylation array. The volcano plots display the −log 10 ( P values) and the directionality of association between CpG sites and infection stages (A, EC, and LC) compared with B: A versus B (left panel), EC versus B (center panel), and LC versus B (right panel). Each dot represents a specific DNAme site. Shown are significantly associated CpG sites ( q < 0.05) with hypomethylation (blue), hypermethylation (red), and nonsignificant (gray). The horizontal axis represents the mean methylation change (i.e., the difference between group means), and the vertical axis represents −log 10 ( P values). ( B ) Changes in EA during each infection stage (A, EC, and LC) relative to B. Biological age analysis was performed based on subsets of clock CpGs. EA at the 3 infection time points was compared with B using mixed-effects linear regression modeling of longitudinal EA changes in PBMCs based on 10 epigenetic clocks. The results are shown separately for young (right) and old (left) RMs. Epigenetic age changes in young (blue) and old (red) RMs are shown. Saturated colors indicate statistically significant changes ( P < 0.05); pale colors indicate nonsignificant changes ( P > 0.05). A statistically significant increase in EA was observed only in young RMs. B–H, Benjamini–Hochberg correction; DMP, differentially methylated positions; dpi, days after infection; RMs, rhesus macaques; B, baseline; A, acute; EC, early chronic; LC, late chronic; EA, epigenetic age.

    Journal: The Journal of Clinical Investigation

    Article Title: Pathogenic SIV infection is associated with acceleration of epigenetic age in rhesus macaques

    doi: 10.1172/JCI189574

    Figure Lengend Snippet: ( A ) Epigenome-wide association study of dpi in PBMCs based on the entire methylation array. The volcano plots display the −log 10 ( P values) and the directionality of association between CpG sites and infection stages (A, EC, and LC) compared with B: A versus B (left panel), EC versus B (center panel), and LC versus B (right panel). Each dot represents a specific DNAme site. Shown are significantly associated CpG sites ( q < 0.05) with hypomethylation (blue), hypermethylation (red), and nonsignificant (gray). The horizontal axis represents the mean methylation change (i.e., the difference between group means), and the vertical axis represents −log 10 ( P values). ( B ) Changes in EA during each infection stage (A, EC, and LC) relative to B. Biological age analysis was performed based on subsets of clock CpGs. EA at the 3 infection time points was compared with B using mixed-effects linear regression modeling of longitudinal EA changes in PBMCs based on 10 epigenetic clocks. The results are shown separately for young (right) and old (left) RMs. Epigenetic age changes in young (blue) and old (red) RMs are shown. Saturated colors indicate statistically significant changes ( P < 0.05); pale colors indicate nonsignificant changes ( P > 0.05). A statistically significant increase in EA was observed only in young RMs. B–H, Benjamini–Hochberg correction; DMP, differentially methylated positions; dpi, days after infection; RMs, rhesus macaques; B, baseline; A, acute; EC, early chronic; LC, late chronic; EA, epigenetic age.

    Article Snippet: DNAme profiles were generated using a custom Infinium methylation array (HorvathMammalMethylChip40) representing 37,492 CpG highly conserved sites in the mammals, with the NCBI’s Gene Expression Omnibus (GEO) accession number GPL28271 for microarray design ( ).

    Techniques: Methylation, Infection