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dna methylation array  (GoldenGate Software Inc)

 
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    GoldenGate Software Inc dna methylation array
    Dna 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/dna+methylation+array/pm22119741-201-5-6
    Average 90 stars, based on 1 article reviews
    dna methylation array - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Biomarker Discovery:

    Article Title: DNA methylation and hormone receptor status in breast cancer.
    Article Snippet: .. The luminal Fig. 2 Training (BCCC) and validation (TCGA) datasets stratified based on DNA methylation data for disease predictor genes. a Sample level data for DNA methylation (GoldenGate) in the BCCC dataset. ..

    Article Title: DNA methylation and hormone receptor status in breast cancer
    Article Snippet: .. Fig. 2 Training (BCCC) and validation (TCGA) datasets stratified based on DNA methylation data for disease predictor genes. a Sample level data for DNA methylation (GoldenGate) in the BCCC dataset. ..

    DNA Methylation Assay:

    Article Title: DNA methylation and hormone receptor status in breast cancer.
    Article Snippet: .. The luminal Fig. 2 Training (BCCC) and validation (TCGA) datasets stratified based on DNA methylation data for disease predictor genes. a Sample level data for DNA methylation (GoldenGate) in the BCCC dataset. ..

    Article Title: DNA methylation, isocitrate dehydrogenase mutation, and survival in glioma.
    Article Snippet: .. To characterize DNA methylation of gliomas and nontumor brain tissues, the bisulfite-modified DNA samples were hybridized to the GoldenGate DNA methylation array. ..

    Article Title: Screening a large, ethnically diverse population of human embryonic stem cells identifies a chromosome 20 minimal amplicon that confers a growth advantage
    Article Snippet: .. For this we used a custom GoldenGate DNA methylation array developed to interrogate DNA methylation changes in known polycomb group protein (PcG) targets in human ES cells 53 . ..

    Article Title: Extensive epigenetic reprogramming in human somatic tissues between fetus and adult.
    Article Snippet: .. They represented 10% of the autosomal genes present in the DNA methylation arrays (GoldenGate) used in the two studies (Figure 3A,B; Table 2; see Additional file 2, Table S2). ..

    Article Title: DNA methylation and hormone receptor status in breast cancer
    Article Snippet: .. Fig. 2 Training (BCCC) and validation (TCGA) datasets stratified based on DNA methylation data for disease predictor genes. a Sample level data for DNA methylation (GoldenGate) in the BCCC dataset. ..

    Article Title: Screening ethnically diverse human embryonic stem cells identifies a chromosome 20 minimal amplicon conferring growth advantage.
    Article Snippet: .. For this we used a custom GoldenGate DNA methylation array developed to interrogate DNA methylation changes in known polycomb group protein (PcG) targets in human ES cells53. ..

    other:

    Article Title: The Epigenomic Revolution in Breast Cancer: From Single-Gene to Genome-Wide Next-Generation Approaches.
    Article Snippet: Next, studies using the GoldenGate DNA methylation array-based platform revealed that those molecular subtypes, especially basal-like, luminal A, and luminal B tumors, but also M AN US CR IP T AC CE PT ED ACCEPTED MANUSCRIPT HER2-overexpressing tumors harbor specific methylation profiles , highlighting the relevance of epigenetic mechanisms in breast tumorigenesis and validating the use of DNA methylation profiles as biomarkers for prognostic and therapeutic stratification of breast cancer patients.

    Article Title: The Epigenomic Revolution in Breast Cancer: From Single-Gene to Genome-Wide Next-Generation Approaches.
    Article Snippet: Next, studies using the GoldenGate DNA methylation array-based platform revealed that those molecular subtypes, especially basal-like, luminal A, and luminal B tumors, but also M AN US CR IP T AC CE PT ED HER2-overexpressing tumors harbor specific methylation profiles47, 48, highlighting the relevance of epigenetic mechanisms in breast tumorigenesis and validating the use of DNA methylation profiles as biomarkers for prognostic and therapeutic stratification of breast cancer patients.



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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