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Illumina Infinium HumanMethylation450 data for human whole blood samples and for mixtures of purified white blood cells reconstructing human blood

ABSTRACT: The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina Infinium HumanMethlation450 for human whole blood samples as well as complex mixtures of DNA from purified human leukocyte subtypes in quantities that mimick human blood under different clinical conditions. Bisulphite converted DNA from the samples were hybridized to an Illumina Infinium HumanMethylation450 beadchip

ORGANISM(S): Homo sapiens

SUBMITTER: William Accomando

PROVIDER: E-GEOD-54670 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Illumina Infinium HumanMethylation450 data for human whole blood samples and for mixtures of purified white blood cells reconstructing human blood

Project description:The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina Infinium HumanMethlation450 for human whole blood samples as well as complex mixtures of DNA from purified human leukocyte subtypes in quantities that mimick human blood under different clinical conditions.

2014-02-04 | GSE54670 | GEO

VeraCode GoldenGate Methylation Assay microarray data for purified human leukocytes, reconstruction mixtures and human whole blood samples

Project description:The objective of the study was to utilize DNA methylation to quantify human leukocyte subsets in human blood. This file contains data from an Illumina custom VeraCode GGMA microarray for human leukocyte subtypes (purified from whole blood samples via magnetic activated cell sorting (MACS) and purity confirmed by flourescence activated cell sorting (FACS)) as well as for complex mixtures of DNA from those samples, and for human whole blood samples. Bisulphite converted DNA from the samples were hybridized to an Illumina Custom VeraCode GGMA microarray.

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Project description:Confounding due to cellular heterogeneity represents one of the foremost challenges currently facing Epigenome-Wide Association Studies (EWAS). Statistical methods leveraging the tissue-specificity of DNA methylation for deconvoluting the cellular mixture of heterogeneous biospecimens such as whole blood, offer a promising solution. However, their performance depends entirely on the library of DNA methylation markers being used as the basis for deconvolution. The objective of this study was to train and validate an algorithm for the identification of optimal DNA methylation libraries for the deconvolution of adult human whole blood. Purified granulocytes, monocytes, CD4T, CD8T, natural killer cells, and B cells from normal human subjects were purchased from AllCells LLC (Emeryville, CA). DNA extracted from purified leukocyte subtypes were mixed in predetermined proportions to reconstruct two distinct sets of white blood cell (WBC) mixtures, each consisting of six samples. An additional six whole blood (WB) samples from disease-free adult donors with available immune cell profiling data from flow cytometry were purchased from All-Cells LLC and were included in this investigation. All DNA samples were bisulfite modified using the Zymo EZ DNA Methylation kit (Irvine, CA) and profiled for DNA methylation using the Illumina HumanMethylation450 array platform.

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2011-10-27 | E-GEOD-25083 | biostudies-arrayexpress

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