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Infinium 450k human methylation beadchip

Manufactured by Illumina

The Infinium 450k Human Methylation Beadchip is a microarray-based technology for analyzing DNA methylation patterns across the human genome. It interrogates over 450,000 CpG sites, providing a comprehensive assessment of DNA methylation status.

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7 protocols using infinium 450k human methylation beadchip

1

Comprehensive Breast Cancer Methylation Profiling

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In the present study, we included a total of seven BC methylation studies. The DNA methylation profile of The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) (Cancer Genome Atlas, 2012 (link); Ciriello et al., 2015 (link)), measured with Illumina Human Methylation 450 BeadChip, included a total of 890 BC samples and associated clinical information of BC patients and was downloaded from UCSC Xena1. A total of 62, 118, 188, 70, and 58 BC samples were included in GSE37754 (Putluri et al., 2014 (link); Terunuma et al., 2014 (link); Tang et al., 2018 ), GSE72245 (Jeschke et al., 2017 (link)), GSE75067 (Holm et al., 2016 ), GSE78754 (Mathe et al., 2016 ), and GSE72251 (Jeschke et al., 2017 (link)), respectively, and there were 40 normal breast samples and 80 BC samples in GSE666952. Bisulfite converted DNA from the breast samples in the above datasets were hybridized to the Illumina Infinium 450k Human Methylation Beadchip. mRNA expression profile of the TCGA-BRCA including 1,217 samples and somatic variant data in “maf” format, were downloaded from GDC Data Portal3. The inclusion criteria of this study were as follows: the patients were newly diagnosed with BC, the patient’s survival information was well documented or the study contained both normal breast sample and BC samples, and the relevant BC patients received Illumina Human Methylation 450 BeadChip profiling.
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2

Placental Methylome Analysis of Developmental Dysplasia

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Placentae were obtained and dissected within 1 hour of delivery. A 3 cm diameter core was taken from the fetal surface through to the maternal surface halfway between the umbilical cord and the placental margin. Only the fetal placental portion was studied after it was washed in saline and stored at -80C. Please see S1 Text for additional details.
Genomic DNA was isolated (DNeasy, Qiagen) and processed by the University of Cincinnati Genomics, Epigenomics and Sequencing Core including bisulfite conversion for Illumina’s Infinium 450K Human Methylation Bead Chip. The methylation status, β, was calculated at each probe site as β = M/(M+U), where M = methylated and U = unmethylated. Differential methylation was calculated for each sample pair and averaged across all pairs for each probe site to determine the absolute value of the difference in methylation between DDP and control (AVDM). CpGs on the X chromosome were excluded based on complications from X inactivation and the high proportion of tandem repeat DNA [14 (link)]. Genes with differential methylation at multiple probe sites were validated with bisulfite pyrosequencing or Mass Array Epityper. (S1 Text and S1 Table).
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3

Analysis of Lung Adenocarcinoma Methylation

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The gene expression dataset (GSE66386) was collected from the Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) database. The dataset included 183 samples, of which 164 were lung adenocarcinoma samples, and 19 were matched normal lung tissue samples. The dataset was uploaded by Bjaanæs et al and cited in their study (9 (link)). The platform of this microarray was Illumina Infinium 450 K Human Methylation BeadChip. The differentially methylated genes were identified using the limma package available at http://www.bioconductor.org-packages/release/bioc/html/limma.html. As a result, the DNA methylation data with 456947 CpGs were used for analysis. For preprocessing of the row data, the following probes were removed: i) The distance value (from CpG to SNP) <2; ii) the minor allele frequency <0.05; iii) the cross-hybridising probes and sex chromosome-specific DNA probes.
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4

Epigenetic Profiling of Alzheimer's Disease

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Bisulphite converted DNA from these samples were hybridized to the Illumina Infinium 450K Human Methylation Beadchip. 260 arrays were generated from 39 subjects (19 females). Twenty-one subjects presented with Alzheimer's Disease (AD) whereas 18 subjects did not have any neurodegenerative disease. None of the subjects had brain malignancies. After adjusting for chronological age, we could not detect an age acceleration effect due to AD status, which is why we ignored AD status in the analysis. We profiled the following brain regions: caudate nucleus (n = 12 arrays), cingulate gyrus (n=12 arrays), cerebellum (32), hippocampus (25), inferior parietal cortex (11), left frontal lobe (9), left occipital cortex (12), left temporal cortex (18), midbrain (18), middle frontal gyrus (12), motor cortex (12), right frontal lobe (20), right occipital cortex (21), right temporal cortex (11), sensory cortex (12), superior parietal cortex (12), and visual cortex (11).
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5

Methylation Profiling of Liver Tissues

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Patient inclusion criteria, tissue acquisition, DNA extraction, and methylation profiling have been described previously [29 (link)]. Briefly, cirrhotic and HCC tissue samples were obtained by surgical resection at the University of Florida Shands Hospital (UFSH). Healthy livers were obtained from patients undergoing surgery for colorectal carcinoma metastases to the liver or benign liver lesions. Out of 289 samples, we considered a subset of 138 relevant to current study: 53 normal liver tissue samples, 13 HCC samples induced by HCV infection (HCV-HCC), 14 HCC samples induced by alcoholism (EtOH-HCC), 39 cirrhotic liver samples induced by HCV (HCV-cirrhosis), and 19 cirrhotic liver samples induced by alcoholism (EtOH-cirrhosis). Further exclusion of samples was done in the downstream methylation data preprocessing step. Tissues were snap-frozen and stored at − 135 °C. The tissue collection protocol was approved by the Institutional Review Board and patient consent. Genomic DNA was isolated and quality-checked by standard protocols prior to bisulfite treatment using the EZ DNA Methylation Kit (Zymo, Irvine, CA) and hybridized to the Infinium 450 k HumanMethylation BeadChip (Illumina, San Diego, CA) according to manufacturer specifications.
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6

DNA Methylation Analysis via Infinium 450k

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Genomic DNA was isolated and checked for quality by standard protocols prior to bisulfite treatment using the EZ DNA Methylation Kit (Zymo, Irvine, CA) and hybridized to the Infinium 450k HumanMethylation BeadChip (Illumina, San Diego, CA) according to the manufacturer's specifications. Bisulfite sequencing was performed as previously described [88 (link)]. Briefly, PCR fragments amplified from bisulfite treated DNA were ligated into a TA vector (Invitrogen, Carlsbad, CA). DNA isolated from plasmids was sequenced at the ICBR Core Facility at the University of Florida. Resultant sequencing data was analyzed using QUMA (http://quma.cdb.riken.jp/, [89 (link)]). Primer sequences are listed in Supplemental Table 3.
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7

DNA Methylation Analysis of Twin Samples

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Genomic DNA from peripheral blood was bisulfite converted using the EZ DNA methylation Kit (ZYMO research), and DNAm status was assessed using the Infinium 450 K HumanMethylation BeadChip (Illumina) according to the manufacturer’s instructions at the Norwegian Microarray Consortium in Oslo. In order to minimize the batch effect on intra-pair DNAm differences, co-twins were processed together on the same chip. Data normalization was done using the free R package minfi, which employs subset quantile within-array normalization (24 (link)). The level of DNAm was summarized by calculating the “beta” value defined by the Illumina’s formula as β = M/(M + U + 100). We also performed QC using minfi to calculate the detection p-value defined as the proportion of control probes, which have intensities greater than that probe on the same array. A β value with its assigned detection p-value >0.01 was treated as missing. CpGs with more than 5% missing data were dropped from the subsequent analysis.
To adjust for differences in cell type composition between co-twins, we applied a statistical algorithm integrated in minfi (25 (link), 26 (link)). All downstream analyses were based on this cell type adjusted dataset.
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