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microarray  (Epicor Software Corporation)

 
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    Epicor Software Corporation microarray
    Microarray, supplied by Epicor Software Corporation, 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/epic+microarray+dna+methylation+dataset/microarray/pmc04690365-51-6-30
    Average 90 stars, based on 1 article reviews
    microarray - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Microarray:

    Article Title: Epigenetic Biomarkers in Cardiovascular Diseases
    Article Snippet: .. Moreover, microarray analyses investigating whole-genome DNA methylation using cases from the EPICOR study and EPIC-NL cohort ( ) identified a hypomethylated region in the zinc finger and BTB domain-containing protein 12 ( ZBTB12 ) and LINE-1 , concluding that it is possible to detect specific methylation profiles in white blood cells a few years before MI occurs. ..

    Article Title: Epigenetic-sensitive pathways in personalized therapy of major cardiovascular diseases.
    Article Snippet: Available online 24 February 2020

    Article Title: Gene-specific DNA methylation profiles and LINE-1 hypomethylation are associated with myocardial infarction risk
    Article Snippet: .. Whole-genome DNA methylation was investigated by microarray analysis in 292 MI cases and 292 matched controls from the large prospective Italian European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (EPICOR study). ..

    DNA Methylation Assay:

    Article Title: Epigenetic Biomarkers in Cardiovascular Diseases
    Article Snippet: .. Moreover, microarray analyses investigating whole-genome DNA methylation using cases from the EPICOR study and EPIC-NL cohort ( ) identified a hypomethylated region in the zinc finger and BTB domain-containing protein 12 ( ZBTB12 ) and LINE-1 , concluding that it is possible to detect specific methylation profiles in white blood cells a few years before MI occurs. ..

    Article Title: Epigenetic-sensitive pathways in personalized therapy of major cardiovascular diseases.
    Article Snippet: Available online 24 February 2020

    Article Title: DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases
    Article Snippet: The 331 whole EPICOR study comprises more than 1,500 subjects with cardiovascular outcomes such 332 as myocardial infarction (MI), acute coronary syndrome, ischemic cardiomyopathy, coronary 333 or carotid revascularization, ischemic- or haemorrhagic stroke. .. Within the EPICOR cohort, a 334 subset of 584 subjects (292 MI cases and 292 matched controls) was analysed as a nested 335 case-control study and underwent DNA methylation analysis and whole genome 336 genotyping. ..

    Article Title: Gene-specific DNA methylation profiles and LINE-1 hypomethylation are associated with myocardial infarction risk
    Article Snippet: .. Whole-genome DNA methylation was investigated by microarray analysis in 292 MI cases and 292 matched controls from the large prospective Italian European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (EPICOR study). ..

    Methylation:

    Article Title: Epigenetic Biomarkers in Cardiovascular Diseases
    Article Snippet: .. Moreover, microarray analyses investigating whole-genome DNA methylation using cases from the EPICOR study and EPIC-NL cohort ( ) identified a hypomethylated region in the zinc finger and BTB domain-containing protein 12 ( ZBTB12 ) and LINE-1 , concluding that it is possible to detect specific methylation profiles in white blood cells a few years before MI occurs. ..

    other:

    Article Title: Gene-specific DNA methylation profiles and LINE-1 hypomethylation are associated with myocardial infarction risk
    Article Snippet: Nevertheless, a limitation of the study is that while EPICOR cases and controls were matched by age, sex, center, and season of recruitment, this could not be achieved for the EPIC-NL sample, since a DNA sample suitable for methylation analysis was not available for all the subjects enrolled in the EPIC-NL.

    Article Title: Epigenetic Signatures at AQP3 and SOCS3 Engage in Low-Grade Inflammation across Different Tissues
    Article Snippet: Results were followed-up in three studies using DNA from peripheral blood (EPICOR, n = 503) and adipose tissue (TwinsUK, n = 368) measured as described above and from liver tissue (LMU liver cohort, n = 286) measured by MALDI-TOF mass spectrometry using EpiTYPER.

    Article Title: Epigenetic signatures of internal migration in Italy
    Article Snippet: A total of 1222 genome-wide DNA methylation profiles were acquired as part of three separate prospective case-control studies nested within EPIC-Italy on breast cancer (N = 332), colorectal cancer (N = 338) and myocardial infarction (EPICOR, N = 552).

    Isolation:

    Article Title: Epigenetic-sensitive pathways in personalized therapy of major cardiovascular diseases.
    Article Snippet: Available online 24 February 2020



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    epic microarray dna methylation dataset  (Illumina Inc)
    90
    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/epic+microarray+dna+methylation+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
    		  Buy from Supplier

    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