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microarray‐based dna methylation profiling  (DIAGENODE DIAGNOSTICS)

 
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    DIAGENODE DIAGNOSTICS microarray‐based dna methylation profiling
    Microarray‐Based Dna Methylation Profiling, supplied by DIAGENODE DIAGNOSTICS, 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-based+dna+methylation+profiling/microarray+based+dna+methylation+profiling/pmc11670297-89-9-5
    Average 90 stars, based on 1 article reviews
    microarray‐based dna methylation profiling - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: Integration of multi‐omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease
    Article Snippet: .. Genomic DNA was submitted to Diagenode (Seraing, Belgium) for microarray‐based DNA methylation profiling using the Infinium HumanMethylationEPIC 850 K Beadchip platform (Illumina, San Diego, CA, USA). ..

    DNA Methylation Assay:

    Article Title: Integration of multi‐omics layers empowers precision diagnosis through unveiling pathogenic mechanisms on maple syrup urine disease
    Article Snippet: .. Genomic DNA was submitted to Diagenode (Seraing, Belgium) for microarray‐based DNA methylation profiling using the Infinium HumanMethylationEPIC 850 K Beadchip platform (Illumina, San Diego, CA, USA). ..



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    DS-DM in human DS and the Ts65Dn and Dp(16)1Yey mouse models, assessed by whole-genome bisulfite sequencing (WGBS) of <t>DNA</t> from brain tissue (cerebral cortex). Differentially methylated region (DMR) detection reveals similarities and differences between two DS mouse models [Ts65Dn and Dp(16)1Yey], and between each model and human DS. DMRs were defined using the DEFIANT algorithm (Condon et al. 2018). Gains <t>of</t> <t>methylation,</t> with very few losses, are seen in the PCDHA-PCDHG protocadherin gene clusters, both in human DS and in the two mouse models. However, the patterns differ. Euploid age-matched controls were sequenced for the human data, and wild-type littermates were the controls for the mouse data. The delta methyl tracks indicate all statistically significant DMRs comparing DS vs control and mutant vs WT mouse brains; all adequately covered CpGs (>20X) are indicated in the bottom tracks. The linear scale for differences in fractional methylation is from −0.4 to +0.4, with the greatest differential methylation in this chromosomal region being +0.4.
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    Image Search Results


    DS-DM in human DS and the Ts65Dn and Dp(16)1Yey mouse models, assessed by whole-genome bisulfite sequencing (WGBS) of DNA from brain tissue (cerebral cortex). Differentially methylated region (DMR) detection reveals similarities and differences between two DS mouse models [Ts65Dn and Dp(16)1Yey], and between each model and human DS. DMRs were defined using the DEFIANT algorithm (Condon et al. 2018). Gains of methylation, with very few losses, are seen in the PCDHA-PCDHG protocadherin gene clusters, both in human DS and in the two mouse models. However, the patterns differ. Euploid age-matched controls were sequenced for the human data, and wild-type littermates were the controls for the mouse data. The delta methyl tracks indicate all statistically significant DMRs comparing DS vs control and mutant vs WT mouse brains; all adequately covered CpGs (>20X) are indicated in the bottom tracks. The linear scale for differences in fractional methylation is from −0.4 to +0.4, with the greatest differential methylation in this chromosomal region being +0.4.

    Journal: Progress in brain research

    Article Title: Genetic and epigenetic pathways in Down syndrome: insights to the brain and immune system from humans and mouse models

    doi: 10.1016/bs.pbr.2019.09.002

    Figure Lengend Snippet: DS-DM in human DS and the Ts65Dn and Dp(16)1Yey mouse models, assessed by whole-genome bisulfite sequencing (WGBS) of DNA from brain tissue (cerebral cortex). Differentially methylated region (DMR) detection reveals similarities and differences between two DS mouse models [Ts65Dn and Dp(16)1Yey], and between each model and human DS. DMRs were defined using the DEFIANT algorithm (Condon et al. 2018). Gains of methylation, with very few losses, are seen in the PCDHA-PCDHG protocadherin gene clusters, both in human DS and in the two mouse models. However, the patterns differ. Euploid age-matched controls were sequenced for the human data, and wild-type littermates were the controls for the mouse data. The delta methyl tracks indicate all statistically significant DMRs comparing DS vs control and mutant vs WT mouse brains; all adequately covered CpGs (>20X) are indicated in the bottom tracks. The linear scale for differences in fractional methylation is from −0.4 to +0.4, with the greatest differential methylation in this chromosomal region being +0.4.

    Article Snippet: In our initial work, microarray-based DNA methylation profiling (Illumina 27K) in peripheral blood leukocytes (PBL) from individuals with DS and age-matched controls revealed gains and losses of DNA methylation, strongly affecting ~100 genes, as a consistent epigenetic response to Ts21 in these cells ( Kerkel et al. 2010 ).

    Techniques: Methylation Sequencing, Methylation, Mutagenesis