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6 protocols using hiscan 2000

1

Maternal Blood Methylation in EOPE, LOPE, IUGR

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To compare the DNAm differences between clinical groups for each of our candidate genes twenty EOPE, 11 LOPE, 8 LOPE + IUGR, 10 IUGR, and 37 control cases were run on the Illumina Infinium HumanMethylation450 BeadChip (450 k) array, which interrogates >480,000 CpG sites in >20,000 genes [35 (link)]. Some of these samples were previously analyzed in the study reported by Blair et al. (2013). To compare the association between DNAm and protein levels in maternal blood, 122 placental DNA samples (750 ng) bisulfite converted using the EZ DNA Methylation kit (Zymo Research, Irvine, USA). Hybridization of samples to the array was completed as per the manufacturer’s protocol. The microarray chips were scanned by the HiScan 2000 or iScan (Illumina). Data was normalized and analyzed as per Blair et al. (2010) methods [14 (link)].
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2

DNA Methylation Analysis Using Illumina HM450

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Genomic DNA was extracted from 2 ml venous blood of each participant followed by centrifugation at 2,500 rpm for 15 min using Wizard® Genomic DNA Purification Kit (Promega, Madison, Wisconsin, USA). The extracted DNA underwent bisulfite conversion by the EZ DNA Methylation™ Kit (Zymo Research) according to the manufacturer's instructions. Converted DNA was then applied to the Illumina Infinium HM450 BeadChip arrays (Illumina, San Diego, CA) and hybridized on BeadChips. Each chip was scanned by a HiScan 2000 (Illumina). The array measured methylation at >480,000 CpG sites in 99% of RefSeq genes. The array incorporated 484,660 probes in total, including the quality control probes.
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3

Genome-wide DNA Methylation Analysis

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Combined placental DNA from the 30 placental DNAm samples described in Table 2 was purified using the Qiagen DNeasy Blood and Tissue kit, and 750 ng of this DNA was bisulfite converted using the EZ DNA Methylation kit (Zymo Research) following the manufacturer’s protocols. Samples were processed following the Illumina Infinium HumanMethylation450 BeadChip (450k array) protocol [72 ] and scanned using the Illumina HiScan 2000. Raw intensity was read into Illumina Genome Studio software 2011.1, and background normalization was applied. Data processing was performed as described in Price et al. [73 ], including sample quality checks, probe filtering, data normalization, and batch correction. This processing pipeline resulted in a final N = 442,355 cytosine-guanine dinucleotide (CpG) sites from the 450k array for analysis.
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4

Genome-wide DNA Methylation Analysis

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Total Genomic DNA was isolated using NucleoSpin® Tissue kit (Macherey-Nagel, cat no.: 740952.250) following the manufacturer’s instructions. Extracted genomic DNA was treated with sodium bisulfite using EZ-96 DNA methylation Gold kit (Zymo Research, cat no.: D5007). Assessment of levels of DNA methylation of known CpG regions and promoters across the genome was done with Illumina HumanMethylation 450K BeadChip and Illumina HiScan 2000. In brief, following bisulfite conversion, approximately 200 ng of the bisulfite-converted DNA per sample was used for methylation analysis. The initial quality control and identification of signal intensities for each probe were performed with Illumina GenomeStudio Software.
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5

Illumina EPIC Array Profiling of Methylation

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Microarray-based DNA methylation profiling was performed using the Illumina Infinium MethylationEPIC (EPIC) BeadChip (Illumina, Inc., San Diego, CA, USA) on 7 paired blood samples. Genomic DNA from peripheral blood samples was extracted using a DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany). Bisulfite conversion of isolated genomic DNA (500 μg) was performed using the EZ DNA methylation Gold Kit (Zymo Research, Irvine, USA). Bisulfite-converted DNA was then whole-genome amplified, enzymatically fragmented, and hybridized to the array as per the EPIC BeadChip protocol18 (link). Subsequent scanning of chips was performed using an Illumina HiScan2000. The raw intensity of the data was determined using GenomeStudio methylation module version 1.9.0 (Illumina, Inc.).
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6

Functional Normalization of Methylation Data

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The 485,577 methylation probes from the Human Methylation450 array were filtered. The DNA methylation was measured and with detection p values above the significance threshold 0.05.
Microarray chips were scanned by a HiScan 2000 (Illumina). To minimize any effects of sample processing, validation cohort arrays were run in the same batch and with the same operators as a subset of the samples from the discovery cohort. This DNA methylation data for the discovery and validation cohorts is available from the Gene Expression Omnibus (GEO) database under the accession numbers GSE100197 and GSE98224, respectively.
Raw data (IDAT Files) were read into R statistical software, version 3.2.4, where functional normalization, background subtraction, and color correction were performed as Blair et al. previously used subset within-array normalization (SWAN). Functional normalization performs all the benefits of SWAN normalization and, in addition, utilizes the 900 control probes on the array to mediate changes in DNA methylation that are due to technical effects [17 (link)].
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