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Infinium methylation 450k

Manufactured by Illumina
Sourced in United States

The Infinium Methylation 450K is a lab equipment product from Illumina. It is a microarray-based platform designed to analyze DNA methylation across the human genome. The core function of this product is to provide comprehensive DNA methylation profiling for research purposes.

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7 protocols using infinium methylation 450k

1

DNA Methylation Analysis via Illumina Arrays

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Peripheral whole blood DNA was extracted using standard techniques. Following bisulfite conversion, DNA methylation analysis of the samples was performed using the Illumina Infinium methylation 450k or EPIC bead chip arrays (San Diego, CA), according to the manufacturer’s protocol. The resulting methylated and unmethylated signal intensity data were imported into R 3.4.2 for analysis. Normalization was performed using Illumina normalization method with background correction using the minfi package40 (link). Probes with detection p value > 0.01, those located on chromosomes X and Y, those known to contain single-nucleotide polymorphisms at the CpG interrogation or single-nucleotide extension, and probes known to cross-react with chromosomal locations other than their target regions were removed. Arrays with more than 5% failed probe rate were excluded from the analysis. All of the samples were examined for genome-wide methylation density, and those deviating from a bimodal distribution were excluded. Factor analysis using a principal component analysis was performed to rule out batch effect or unexplained variations. Outliers were identified in this analysis and removed. No batch effect was observed by factor analysis. All of the patients and controls clustered together and did not separate based on the batch variable.
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2

Validating Inverse Correlation Genes via TCGA

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To validate genes with inverse correlation patterns using other public databases, we assessed somatic mutations, mRNA expression by RNA sequencing and DNA methylation by Illumina Infinium Methylation 450K from the TCGA data (https://gdc.cancer.gov/). Patients in the TCGA cohort were divided into two groups according to BRAF mutation status. For the inversely correlated genes derived from the microarray analysis, we checked mRNA expression and promoter site methylation patterns between BRAF wild-type PTC versus BRAF mutant-type PTC. If the same hypermethylation-downregulation or hypomethylation-upregulation pattern was observed, it was marked as “TRUE”; otherwise, it was marked as “FALSE.”
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3

DNA Methylation and Copy Number Analysis of FFPE Tumor Samples

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DNA methylation and copy number analyses were performed using the Infinium Methylation450k and EPIC BeadChip array platforms (Illumina, USA). All analyses were performed according to the manufacturer’s instructions. In brief, DNA was extracted from FFPE tumor samples using the Maxwell RSC FFPE Plus DNA Purification Kit (Promega, USA). After bisulfite conversion using the Zymo EZ Methylation Kit (Zymo Research Irvine, USA), the Infinium HD FFPE DNA Restore Kit was used for DNA restoration. The beadchips were scanned on the iScan system (Illumina, USA). The unprocessed output data (.idat files) from the iScan reader were checked for general quality measures as indicated by the manufacturer. DNA methylation based classification was performed for both 450 k and 850 k data using the publically available “brain tumor classifier”, version v11b4 (https://www.molecularneuropathology.org/mnp) [7 (link)].
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4

Epigenome-wide DNA Methylation Analysis

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The epigenome-wide DNA methylation levels were measured in two mutually exclusive subsets from previously published studies using the Illumina Infinium Methylation 450K and EPIC (850K) BeadChip, respectively15 (link),16 . Following the standard protocols, bisulfite-converted DNA samples were whole-genome amplified, enzymatically fragmented, purified and hybridized to the arrays, which were then fluorescently stained, scanned, and assessed for fluorescence intensities. Quality control data normalization and batch correction using control-probe adjustment of the intensity data was performed, as previously described11 (link). We used a quantile normalization approach in the R package “minfi” for processing Methylation 450K and EPIC (850K) data to correct for methylation signals, and to generate adjusted β-values for the associated analyses. After all quality control procedures, a total of 526 samples from the 850K dataset and 549 samples from the 450K dataset were included for the analysis. The DNAm sites measured by the EPIC and 450K chips were mapped to Genome Research Consortium human build 37 (GRCh37).
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5

Illumina DNA Methylation Analysis

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Peripheral whole blood DNA was extracted using standard techniques. Following bisulfite conversion, DNA methylation analysis of the samples was performed using the Illumina Infinium methylation 450 k or EPIC bead chip arrays (San Diego, CA), according to the manufacturer’s protocol. The resulting methylated and unmethylated signal intensity data were imported into R 3.5.1 for analysis. Normalization was performed using the Illumina normalization method with background correction using the minfi package [53 (link)]. Probes with detection p value > 0.01, those located on chromosomes X and Y, those known to contain SNPs at the CpG interrogation or single nucleotide extension, and probes known to cross-react with chromosomal locations other than their target regions were removed. Arrays with more than 5% failure probe rate were excluded from the analysis. Sex of the subjects was predicted using the median signal intensities of the probes on the X and Y chromosomes and those samples discordant between the labeled and predicted sex were not used for analysis. All of the samples were examined for genome-wide methylation density, and those deviating from a bimodal distribution were excluded. Factor analysis using a principal component analysis (PCA) was performed to examine the batch effect and identify the outliers.
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6

Methylation Analysis of UPD7-UPD14 Genes

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Methylation-specific multiple ligation probe amplification (MS-MLPA) analysis was performed by using the ME032 UPD7-UPD14 A1 Kit (MRC-Holland) according to manufacturer’s instructions. The assay we used does not evaluate the methylation status of DLK1 or RTL1.
Methylation profile (Infinium Methylation 450K, Illumina) was performed by Genomix4life (Laboratory of Molecular Medicine and Genomics, University of Salerno). The detailed methods are described in the Supplementary Methods.
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7

Identification of Epigenetic Biomarkers in Thyroid Cancers

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The data previously generated by our group using the Infinium Methylation 450K assay (Illumina) (31) was re-evaluated under the perspective to identify epigenetic diagnostic markers (data available in Gene Expression Omnibus-GEO; GSE97466). The sample groups (PTC, FTC, BTL and NT) were compared using the Limma package® (33) and the differentially methylated CpG sites were identified with a Bonferroni adjusted P-value < 0.05 and a mean delta-beta (Δβ)> 0.2 or < -0.2. The quality control and processing of the microarray data are described in Supplementary Methods.
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