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microarray-based dna methylation profiling illumina 27k  (Illumina Inc)


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    Illumina Inc microarray-based dna methylation profiling illumina 27k
    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.
    Microarray Based Dna Methylation Profiling Illumina 27k, supplied by Illumina 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/microarray+based+dna+methylation+profiling/microarray+based+dna+methylation+profiling+illumina+27k/pmc07286740-150-5-8
    Average 90 stars, based on 1 article reviews
    microarray-based dna methylation profiling illumina 27k - by Bioz Stars, 2026-11
    90/100 stars

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    1) Product Images from "Genetic and epigenetic pathways in Down syndrome: insights to the brain and immune system from humans and mouse models"

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

    Journal: Progress in brain research

    doi: 10.1016/bs.pbr.2019.09.002

    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.
    Figure Legend 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.

    Techniques Used: Methylation Sequencing, Methylation, Mutagenesis

    Related Articles

    Methylation:

    Article Title: Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma
    Article Snippet: .. A comprehensive approach to molecular profiling, including DNA array-based methylation profiling, Illumina NGS, and Pacific Bioscience SMRT sequencing, were critical for providing a definitive diagnosis and understanding the biological mechanism of RB1 inactivation. ..

    Article Title: A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms.
    Article Snippet: These included whole peripheral blood (WPB, n = 4), whole bone marrow (WBM, n = 4), peripheral blood lymphocytes (PBL, n = 7), CD34-positive cells from BM (n = 4), CD3-positive T-cells from PB (n = 5), CD19-positive B-cells from PB (n = 5), germinal center B-cells (GCB, n = 2) as well as B-cell lymphoblastoid cell lines (LBL, n = 6) [16]. .. DNA methylation profiling using universal BeadArrays Microarray-based DNA methylation profiling was performed on all 367 hematological neoplasms and the 37 control samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). .. 247 samples were processed at the Illumina Headquarters (San Diego, CA) and 157 at the Spanish National Cancer Center (CNIO, Madrid, Spain).

    Article Title: Method for the identification of the origin of a cancer of unknown primary origin by methylation analysis
    Article Snippet: .. DNA Methylation Analysis Using Universal BeadArrays Microarray-based DNA methylation profiling was performed on all samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). ..

    Next-Generation Sequencing:

    Article Title: Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma
    Article Snippet: .. A comprehensive approach to molecular profiling, including DNA array-based methylation profiling, Illumina NGS, and Pacific Bioscience SMRT sequencing, were critical for providing a definitive diagnosis and understanding the biological mechanism of RB1 inactivation. ..

    Sequencing:

    Article Title: Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma
    Article Snippet: .. A comprehensive approach to molecular profiling, including DNA array-based methylation profiling, Illumina NGS, and Pacific Bioscience SMRT sequencing, were critical for providing a definitive diagnosis and understanding the biological mechanism of RB1 inactivation. ..

    Biomarker Discovery:

    Article Title: Molecular classification of a complex structural rearrangement of the RB1 locus in an infant with sporadic, isolated, intracranial, sellar region retinoblastoma
    Article Snippet: .. A comprehensive approach to molecular profiling, including DNA array-based methylation profiling, Illumina NGS, and Pacific Bioscience SMRT sequencing, were critical for providing a definitive diagnosis and understanding the biological mechanism of RB1 inactivation. ..

    DNA Methylation Assay:

    Article Title: A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms.
    Article Snippet: These included whole peripheral blood (WPB, n = 4), whole bone marrow (WBM, n = 4), peripheral blood lymphocytes (PBL, n = 7), CD34-positive cells from BM (n = 4), CD3-positive T-cells from PB (n = 5), CD19-positive B-cells from PB (n = 5), germinal center B-cells (GCB, n = 2) as well as B-cell lymphoblastoid cell lines (LBL, n = 6) [16]. .. DNA methylation profiling using universal BeadArrays Microarray-based DNA methylation profiling was performed on all 367 hematological neoplasms and the 37 control samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). .. 247 samples were processed at the Illumina Headquarters (San Diego, CA) and 157 at the Spanish National Cancer Center (CNIO, Madrid, Spain).

    Article Title: Method for the identification of the origin of a cancer of unknown primary origin by methylation analysis
    Article Snippet: .. DNA Methylation Analysis Using Universal BeadArrays Microarray-based DNA methylation profiling was performed on all samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). ..

    Article Title: Oncometabolic Nuclear Reprogramming of Cancer Stemness
    Article Snippet: Global DNA methylation levels were determined using the Global DNA Methylation LINE-1 kit (Active Motif; cat. #55017) according to the manufacturer's instructions. .. Microarray-based DNA methylation profiling was performed using Illumina Infinium HumanMethylation450 BeadChip Array ( ). .. Methylation levels (beta values) were obtained using Illumina's GenomeStudio Software.

    Microarray:

    Article Title: A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms.
    Article Snippet: These included whole peripheral blood (WPB, n = 4), whole bone marrow (WBM, n = 4), peripheral blood lymphocytes (PBL, n = 7), CD34-positive cells from BM (n = 4), CD3-positive T-cells from PB (n = 5), CD19-positive B-cells from PB (n = 5), germinal center B-cells (GCB, n = 2) as well as B-cell lymphoblastoid cell lines (LBL, n = 6) [16]. .. DNA methylation profiling using universal BeadArrays Microarray-based DNA methylation profiling was performed on all 367 hematological neoplasms and the 37 control samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). .. 247 samples were processed at the Illumina Headquarters (San Diego, CA) and 157 at the Spanish National Cancer Center (CNIO, Madrid, Spain).

    Article Title: Method for the identification of the origin of a cancer of unknown primary origin by methylation analysis
    Article Snippet: .. DNA Methylation Analysis Using Universal BeadArrays Microarray-based DNA methylation profiling was performed on all samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). ..

    Article Title: Oncometabolic Nuclear Reprogramming of Cancer Stemness
    Article Snippet: Global DNA methylation levels were determined using the Global DNA Methylation LINE-1 kit (Active Motif; cat. #55017) according to the manufacturer's instructions. .. Microarray-based DNA methylation profiling was performed using Illumina Infinium HumanMethylation450 BeadChip Array ( ). .. Methylation levels (beta values) were obtained using Illumina's GenomeStudio Software.

    Control:

    Article Title: A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms.
    Article Snippet: These included whole peripheral blood (WPB, n = 4), whole bone marrow (WBM, n = 4), peripheral blood lymphocytes (PBL, n = 7), CD34-positive cells from BM (n = 4), CD3-positive T-cells from PB (n = 5), CD19-positive B-cells from PB (n = 5), germinal center B-cells (GCB, n = 2) as well as B-cell lymphoblastoid cell lines (LBL, n = 6) [16]. .. DNA methylation profiling using universal BeadArrays Microarray-based DNA methylation profiling was performed on all 367 hematological neoplasms and the 37 control samples with the GoldenGate Methylation Cancer Panel I (Illumina, Inc.). .. 247 samples were processed at the Illumina Headquarters (San Diego, CA) and 157 at the Spanish National Cancer Center (CNIO, Madrid, Spain).

    other:

    Article Title: Single cell-derived clones from human adipose stem cells present different immunomodulatory properties
    Article Snippet: Microarray-based DNA methylation profiling was performed on all samples with Infinium HumanMethylation27 BeadChip arrays (Illumina, San Diego, CA, USA), as described previously 28 .



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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