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Humanmethylation450 450k microarray platform

Manufactured by Illumina

The HumanMethylation450 ('450k') microarray platform is a DNA methylation analysis tool developed by Illumina. It is designed to interrogate the methylation status of over 450,000 CpG sites across the human genome. The platform provides a comprehensive and unbiased assessment of DNA methylation patterns, which can be useful for various research applications.

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2 protocols using humanmethylation450 450k microarray platform

1

In Silico Cell Type Deconvolution

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We implemented in silico estimation of the relative proportions of three cell types (ES-derived NPCs from culture 74 (link), and adult cortex neuronal and non-neuronal cells from tissue 75 ) using epigenome-wide DNAm data using a recently published algorithm 76 (link). All data was obtained using the Illumina HumanMethylation450 (“450k”) microarray platform. After normalizing the publicly available data together using the preprocessQuantile function in the minfi Bioconductor package 77 , we picked the cell type-discriminating probes as outlined by Jaffe and Irizarry 78 (link) resulting in 227 unique probes that distinguished the three cell types. We then normalized the DNAm data from our 36 discovery samples, and estimated the composition of our samples from the methylation profiles of the homogenate cell types at the 227 probes using non-linear mixed modeling 76 (link). Composition estimates were regressed against the normalized and log2 transformed expression levels within each DER across the 36 samples, and we obtained a moderated T-statistic and corresponding p-value 79 for each cell type and DER. The Bonferroni–adjusted p-value was set at 0.05/50,560, or p < 9.89×10−7.
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2

In Silico Cell Type Deconvolution

Check if the same lab product or an alternative is used in the 5 most similar protocols
We implemented in silico estimation of the relative proportions of three cell types (ES-derived NPCs from culture 74 (link), and adult cortex neuronal and non-neuronal cells from tissue 75 ) using epigenome-wide DNAm data using a recently published algorithm 76 (link). All data was obtained using the Illumina HumanMethylation450 (“450k”) microarray platform. After normalizing the publicly available data together using the preprocessQuantile function in the minfi Bioconductor package 77 , we picked the cell type-discriminating probes as outlined by Jaffe and Irizarry 78 (link) resulting in 227 unique probes that distinguished the three cell types. We then normalized the DNAm data from our 36 discovery samples, and estimated the composition of our samples from the methylation profiles of the homogenate cell types at the 227 probes using non-linear mixed modeling 76 (link). Composition estimates were regressed against the normalized and log2 transformed expression levels within each DER across the 36 samples, and we obtained a moderated T-statistic and corresponding p-value 79 for each cell type and DER. The Bonferroni–adjusted p-value was set at 0.05/50,560, or p < 9.89×10−7.
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