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Human methylation 450k beadchip

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The Human Methylation 450K BeadChip is a microarray-based technology for analyzing DNA methylation at more than 485,000 CpG sites across the human genome. It provides a comprehensive coverage of gene regions, as well as non-coding regions, and allows for the identification and quantification of DNA methylation levels at single-CpG resolution.

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81 protocols using human methylation 450k beadchip

1

Comprehensive DNA Methylation Profiling in Cancer

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The Cancer Genome Atlas (TCGA) DNA methylation data evaluated by Illumina Human Methylation 450K BeadChip were collected in May 2020 to reduce the batch effect of different platforms. All samples and cohorts were enrolled in this step. The cohorts with a tumor or normal tissues sample size less than 30 were excluded in this step. Only primary tumors were enrolled in tumorous samples, while metastatic or recurrent tumors were omitted to reduce the redundancy with its primary tumor samples.
In Gene Expression Omnibus (GEO) datasets, the datasets were searched with keywords “cancer” or “tumor” and then filtered with Illumina Human Methylation 450K BeadChip. The “Entry type,” “Organisms,” and “Attribute name” were set as “Series,” “Homo Sapiens,” and “Tissue,” respectively, in May 2020. Subsequently, each dataset was annotated manually. The dataset with a sample size of less than 60 was excluded. The datasets that were annotated with the same cancer type but not in the same cohort were combined for further analyses.
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2

Quantifying DNA Methylation in Whole Blood

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DNAm from whole blood was quantified at 485,512 CpG sites using the Illumina Human Methylation 450k BeadChips at the Edinburgh Clinical Research Facility. Full details of the quality control steps have been described previously (Shah et al., 2014 (link); Zhang et al., 2018 (link)). Briefly, raw intensity data were background‐corrected and normalised using internal controls. Samples with inadequate bisulphite conversion, hybridisation, staining signal or nucleotide extension were removed upon manual inspection. Further, probes with a low detection rate (p > 0.01 in >5% of samples), samples with a low call rate (<450,000 probes detected at p < 0.01), samples exhibiting a poor match between genotype and SNP control probes and samples with a mismatch between methylation‐predicted and recorded sex were additionally excluded. This left a total of 450,276 autosomal probes. In analyses comparing blood and brain DNAm signatures, the last blood measurement before death was used and models were adjusted for the interval between the blood draw and death (see Table S1; mean interval: 2.5 years, SD: 1.5).
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3

Characterizing Epigenetic and Functional Differences in Rheumatoid Arthritis

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PBMC were recovered from 30 ml of EDTA blood (using standard lymphoprep procedures) and naïve (CD45RA+ CD45RO) and memory (CD45RA CD45RO+) CD4+ T-cell and monocytes (CD14+) were purified by cell sorting.

Bisulfite converted DNA was hybridised to the Illumina Human Methylation 450K Beadchips.

A standard CpG methylation data normalisation pipeline was applied.

Different strategies to prioritise differentially methylated (DM) CpGs were applied to identify DM CpGs or DM regions and the associated genes.

Commercial ELISAs were used to confirm the differential expression of 3 cytokines whose genes were DM (IL21, IL34 and RANKL).

The TNF gene was chosen for confirmation using bisulfite DNA sequencing.

Publically available gene expression datasets for CD4+ T-cells from early, drug naïve RA and HC were retrieved to examine associated differential expression of DM genes.

Flow cytometry was used to assess levels of expression of 5 DM genes for cell surface proteins (CD4, CD25, CD62L, CXCR4, IL6R) towards identifying subpopulation(s) of cells affected.

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4

DNA Methylation Profiling using Illumina HumanMethylation450K

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Fragmented DNA was dispensed onto the multichannel HumanMethylation450K BeadChips and hybridization performed in an Illumina Hybridization oven for 20 h. BeadChips were washed, primer extended, and stained per manufacturer protocols. BeadChips were coated and then imaged on an Illumina iScan Reader and images were processed with GenomeStudio software methylation module (v. 1.8 or later; Illumina).
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5

Placental DNA Methylation Analysis

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A 1-cm3 sample of the placenta near the fetal surface was collected, and genomic DNA extracted. DNA was assessed by agarose gel electrophoresis with ethidium bromide staining and by PicoGreen assays (Life Technologies, Carlsbad, Calif.). DNA, 500 ng, was bisulfite converted and analyzed according to the manufacturer’s instructions for Illumina Human Methylation 450K BeadChips, with all assays performed at the Roswell Park Cancer Institute Genomics Shared Resource. Data were processed using Genome Studio software, which calculates the fractional methylation (AVG_Beta) at each CpG, after background correction and normalization to internal controls. All probes querying CpGs that overlapped common single-nucleotide polymorphisms (SNPs) (SNPs with minor allele frequency ≥1% in dbSNP build 138) were removed. Bisulfite sequencing was performed by converting the DNA samples using the EpiTect Bisulfite kit (Qiagen, Hilden, Germany), amplifying the DNA by polymerase chain reaction (PCR), cloning using the TOPO TA Cloning kit (Life Technologies, Carlsbad, Calif.), with three independent PCRs pooled for each sample prior to bacterial transformation, and sequencing of multiple clones.
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6

DNA Methylation Profiling Using Illumina BeadChips

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Genomic DNA was extracted from the collected peripheral blood cells, with the Wizard Genomic DNA Purification Kit (Promega, Charbonnières‐les‐Bains, France) according to the manufacturer's instructions. Sodium bisulfite conversion of 500 ng of genomic DNA was performed with an EZ DNA Methylation Kit (Zymo Research, CA, USA) according to the manufacturer's instructions.
DNA methylation profiling was performed with Human‐Methylation450k BeadChips (Illumina, CA, USA), which analyse the methylation status of 485 577 cytosine‐guanine dinucleotides (CpG) sites covering 99% of all RefSeq genes, with an average of 17 probes per gene, 41% of which were in proximal promoters. Whole‐genome amplification, labelling, hybridization and scanning were performed according to the manufacturer's instruction at IntegraGen® (Evry, France). All arrays were imaged using an Illumina BeadArray Reader.
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7

Comprehensive DNA Methylation Analysis of Whole Blood

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DNAm from whole blood was quantified at 485,512 CpG sites using the Illumina Human Methylation 450k BeadChips at the Edinburgh Clinical Research Facility. Full details of the quality control steps have been described previously (Shah et al., 2014 (link); Zhang et al., 2018 (link)). Briefly, raw intensity data were background-corrected and normalised using internal controls. Samples with inadequate bisulphite conversion, hybridisation, staining signal or nucleotide extension were removed upon manual inspection. Further, probes with a low detection rate (p>0.01 in >5% of samples), samples with a low call rate (<450,000 probes detected at p<0.01), samples exhibiting a poor match between genotype and SNP control probes, and samples with a mismatch between methylation-predicted and recorded sex were additionally excluded. This left a total of 450,276 autosomal probes. In analyses comparing blood and brain DNAm signatures, the last blood measurement before death was used and models were adjusted for the interval between the blood draw and death (see Supplementary Table 1; mean interval: 2.5 years, SD: 1.5).
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8

Genome-Wide DNA Methylation Analysis

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The amount and integrity of genomic DNA was assessed by agarose gel electrophoresis with ethidium bromide staining and by PicoGreen® dsDNA quantitation assays (Life Technologies, Carlsbad, CA, USA). Genomic DNA, 500 ng, was bisulfite converted and analyzed per the manufacturer’s instructions for Illumina HumanMethylation450K Beadchips, with all assays performed at the Roswell Park Cancer Institute Genomics Shared Resource, New York, USA. The BeadChip-based methylation assays entail bisulfite conversion of the genomic DNA followed by primer extensions to query the percent methylation at each of 485,000 (450K) CpG dinucleotides, covering sequences in and around promoter-associated and non-promoter-associated CpG-islands (CGIs), as well as many non-island promoter regions, associated with 99% of RefSeq genes. Data were processed using Genome Studio software, which calculates the percent methylation (AVG_Beta) at each CpG queried by the array, after background correction and normalization to internal controls.
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9

Genome-wide DNA Methylation Profiling

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PBMC were recovered from 30 mL of EDTA blood. Naïve (CD45RA+/CD45RO) and memory (CD45RA/CD45RO+) CD4+ T-cell and monocytes (CD14+) were purified by cell sorting following antibody staining using standards protocols: anti-CD4 (Clone RPA-T4, BD), anti-CD3 (Clone RPA-T8, BD), CD45RA (Clone MEM55, Serotec), CD45RO (Clone UCHL1, Serotec), anti-CD14 (Clone M5E2, BD). DNA was extracted from purified cell subsets using the Nucleon extraction kit according to manufacturers’ instructions. The concentration of genomic DNA was assessed by NanoDrop. Genomic DNA (650 ng) was bisulfite converted using the Zymo EZ DNA Methylation™ Kit. Bisulfite converted DNA was amplified using the Illumina Infinium Methylation Assay and hybridised to Illumina Human Methylation 450K Beadchips before scanning on the Illumina iScan microarray scanner [74 (link)]. All procedures were performed by Hologic Ltd. (Manchester, UK).
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10

Genome-wide DNA Methylation Profiling

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Genome-wide DNA methylation profiling was performed using Human Methylation 450k BeadChips (Illumina Inc., San Diego, CA, USA) according to the manufacturer’s recommended protocol40 (link). Patient samples were processed in six different batches using three different facilities: New York Genome Center (three batches), Genomics Core of the Icahn School of Medicine at Mount Sinai (two batches), and Genetics lab at Northwell Health (one batch). We observed no significant differences in the number of DMRs called per sample, or the rates of secondary validation based on array batch or processing center.
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