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epic microarray dna methylation dataset  (Illumina Inc)


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    Structured Review

    Illumina Inc epic microarray dna methylation dataset
    Low-dimensional representation of variable <t>DNA</t> <t>methylation</t> sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.
    Epic Microarray Dna Methylation Dataset, 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/dna+microarray+dataset/illumina+arrays/pmc11633140-134-25-28
    Average 90 stars, based on 1 article reviews
    epic microarray dna methylation dataset - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies"

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    Journal: Epigenetics

    doi: 10.1080/15592294.2024.2437275

    Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.
    Figure Legend Snippet: Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.

    Techniques Used: DNA Methylation Assay

    Analytic table of  DNA   methylation  samples used for deconvolution reference.
    Figure Legend Snippet: Analytic table of DNA methylation samples used for deconvolution reference.

    Techniques Used: DNA Methylation Assay, Fluorescence

    Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.
    Figure Legend Snippet: Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.

    Techniques Used: DNA Methylation Assay

    Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.
    Figure Legend Snippet: Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.

    Techniques Used: Methylation, DNA Methylation Assay

    Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.
    Figure Legend Snippet: Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.

    Techniques Used: DNA Methylation Assay, Biomarker Discovery

    Related Articles

    DNA Methylation Assay:

    Article Title: Methylome-Wide Association Study of Obsessive-Compulsive Disorder
    Article Snippet: .. In this study, we present the largest epigenome-wide DNA methylation analysis of OCD to date, using the Illumina EPICv2 array on saliva-derived DNA from approximately 800 individuals, including those with OCD and healthy controls. ..

    Article Title: YAP1-MAML2 Fusion in Young Children With Pediatric High-Grade Glioma: A Case Report.
    Article Snippet: 1Division of Hematology, Oncology & BMT, BC Children’s Hospital, University of British Columbia, Vancouver, British Columbia, Canada 2Department of Radiation Oncology, CHU de Québec, Université Laval, Québec, Québec, Canada 3Department of Pathology, Faculty of Medicine and Health Sciences, McGill University, Québec, Québec, Canada 4Department of Pathology, CHU de Québec, Université Laval, Québec, Québec, Canada 5Division of Anatomical Pathology, BC Children’s Hospital and Women’s Hospital and Health Center, Vancouver, British Columbia, Canada

    other:

    Article Title: ROCK2 inhibition has a dual role in reducing ECM remodelling and cell growth, while impairing migration and invasion
    Article Snippet: METABRIC ROCK2 mRNA expression (Illumina HT-12 v3 microarray) and patient clinical data was downloaded for 1936 patients with invasive breast ductal, lobular or mixed carcinoma.

    Article Title: Determining data inheritance of data segments
    Article Snippet: In some embodiments, a set of SNPs (e.g., 300,000) that are shared between different array platforms (e.g., Illumina OmniExpress Platform and Illumina HumanHap 650Y Platform) may be obtained as genetic data.

    Article Title: Characterizing DNA Methylation and Hydroxymethylation in Cord Blood and Identifying Sex-Specific Differences using the Illumina EPIC Array.
    Article Snippet: One of the most well-studied epigenetic marks is that of DNA methylation, which is often surveyed with the Illumina Methylation BeadChip family of arrays.



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    Illumina Inc epic microarray dna methylation dataset
    Low-dimensional representation of variable <t>DNA</t> <t>methylation</t> sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.
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    Image Search Results


    Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Low-dimensional representation of variable DNA methylation sites across all placental and immune cell types and whole placental tissue samples shows samples cluster by cell type.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay

    Analytic table of  DNA   methylation  samples used for deconvolution reference.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Analytic table of DNA methylation samples used for deconvolution reference.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay, Fluorescence

    Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Placental cell type differential DNA methylation. Volcano plots comparing site-specific DNA methylation levels in one cell type against the average across all other cell types.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay

    Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Top differentially methylated sites unique to the five placental cell types (cytotrophoblast, endothelial, Hofbauer, stromal, and syncytiotrophoblast) and nucleated red blood cells with gene annotations reveal highly specific DNA methylation profiles by cell type.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: Methylation, DNA Methylation Assay

    Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.

    Journal: Epigenetics

    Article Title: Placental and immune cell DNA methylation reference panel for bulk tissue cell composition estimation in epidemiological studies

    doi: 10.1080/15592294.2024.2437275

    Figure Lengend Snippet: Summary graphs of the root mean square error of prediction in the ability to model principal components of DNA methylation in 204 placenta dataset GSE232778 for our expanded reference versus the existing reference implemented in planet from 1,000 repeats of a 10-fold cross-validation linear regression model with estimated cell composition as the predictor variables.

    Article Snippet: To assess the performance of our placental DNA methylation deconvolution reference, we compared its ability to predict DNA methylation variation [ ] in a preprocessed placental whole tissue Illumina EPIC microarray DNA methylation dataset comprising 204 placentas across three cohorts (GEO accession number GSE232778) [ ] against the only existing multi-cell type reference [ ].

    Techniques: DNA Methylation Assay, Biomarker Discovery