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43 protocols using 450k beadchip

1

Overnight Storage Enables DNA Methylation Profiling

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To enable DNA methylation profiling of a large number of FACS‐sorted samples, a protocol for storing blood samples overnight prior to sorting was established and validated. Whole blood was collected from a single individual into ten 10‐ml EDTA collection tubes. PBMCs were isolated and stained as described above, and then either sorted the same day or stored overnight in buffer at 4°C and sorted the following day. Paired DNA samples from the 2 time points were collected from all 4 cell types. All DNA samples were quantified using a Nanodrop spectrophotometer. All samples were subjected to bisulfite conversion on the same day and then assayed on Illumina 450k BeadChips simultaneously.
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Lung Cancer Transcriptome and Methylome

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Biopsies were assessed by means of histological examination to confirm the malignant status (> 70% malignant epithelial cells) or normal lung histology. RNA extraction of non-malignant lung and tumor tissue was performed and sequenced on an Illumina HiSeq 2000. Illumina sequencing libraries were prepared according to the TruSeq RNA Sample Preparation Guide following the manufacturer’s instructions. Libraries were sequenced using 1 × 58 bp single-end reads, with two indexed samples per lane, yielding about 32.5 million reads per sample. After alignment of the sequencing reads to the human genome, counts for each gene were computed for each sample by use of the HTSeq software (version v0.5.3p3). Bisulfite-converted DNA was hybridized on 450 K BeadChips (Illumina), using the Infinium HD methylation protocol. After controlling for batch effect and normalizing raw intensity data, the methylation level of each interrogated CpG, scored as a β value between 0 and 1, was calculated according to the fluorescent intensity ratio using IMA R-package (v2.1.1) and the SWAN method implemented in the minfi R-package (v1.2.0) [21 (link)]. Extensive metholodogy regarding the RNA-sequencing and methylation can be found in the supplemental data of the manuscript of dr. Wauters et al. [18 (link)].
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3

Genome-Wide DNA Methylation Profiling

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DNA samples were bisulfite converted using Zymo Bisulfite Conversion Kits (Zymo Research, Irvine, CA), whole genome amplified, enzymatically fragmented, purified, and applied to Illumina Infinium HumanMethylation450 BeadChips (Illumina, San Diego, CA) according to manufacturer protocol. 450K BeadChips were handled by robotics and analyzed using the Illumia Hi-Scan system. DNA methylation was measured at 485,512 CpG sites.
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4

Preparing FACS Samples for DNA Methylation

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To enable DNA methylation profiling of a large number of FACS samples, a protocol for storing blood samples overnight prior to sorting was established and validated. Whole blood was collected in ten 10ml EDTA collection tubes from a single individual. PBMCs were isolated and stained as described above, and then either sorted the same day or stored overnight in buffer at 4°C and sorted the following day. Paired DNA samples from the two time points were collected from all four cell types. All DNA samples were quantified using a Nanodrop spectrophotometer. All samples underwent bisulfite conversion on the same day and were assayed on Illumina 450k BeadChips simultaneously.
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5

Brain Methylation Quantitative Loci Analysis

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The possible functional impact of the associated SNPs on the brain was assessed by calculating brain methylation quantitative loci (brain meQTL), using a previously published database43 (link)–45 (link) that included a total of 48 brain samples from individuals of Mexican descent. These were genotyped and DNA methylation levels were measured with microarrays. The genotyping was performed with the commercial Illumina PsychArray and the DNA methylation levels were determined using Illumina 450K BeadChips (Illumina, USA). A calculation of cis- and trans- meQTL was performed with KING software46 (link), and p < 5.00e−8 was considered genome-wide statistically significant.
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6

Cord Blood and Childhood DNA Methylation

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At delivery, clinical staff were prompted to collect cord blood samples using paper or electronic “flags” on mothers’ charts. Clinicians collected cord blood from the umbilical vein using a syringe and needle. Blood samples were collected from children at the early and mid-childhood visits. Within 24 h of collection, cord blood and childhood blood samples were centrifuged at 1700 × g for 10 min at 4 °C to separate plasma, red blood cells (RBCs), and nucleated cells used for measurement of DNAm (leukocytes and nRBCs in cord blood, and leukocytes in childhood blood).
DNAm was measured in all participants with proper consent for genetic and epigenetic analyses and sufficient sample quantity. Quantification of DNAm has been detailed previously [65 (link)]. Research staff extracted genomic DNA from nucleated cells using the PureGene kit (Qiagen, Valencia, CA) and stored sample aliquots at – 80 °C until analysis. DNA was bisulfite converted with the Zymo DNA Methylation kit (Zymo Resarch, Irvine, CA). DNAm was analyzed at Illumina, Inc. with the Illumina 450K Beadchip (Illumina, San Diego, CA), which interrogates > 485,000 methylation sites. To minimize batch effects, 1 μg of DNA from each sample was randomized across plates and BeadChips.
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7

Illumina450K DNA Methylation Analysis

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In both PACE and CHARGE, DNA methylation was measured using the Illumina450K Beadchip (Illumina, Inc, CA, USA). In PACE, newborn DNA was extracted from umbilical cord blood in all cohorts except for NFCS, which used neonatal phlebotomy [3 (link)]. In CHARGE, DNA was extracted from whole blood in 14 cohorts, isolated CD4+ T cells in GOLDN, and monocytes (CD14+) in MESA [2 (link)]. In all PACE and CHARGE cohorts, DNA was subjected to bisulfite conversion using Zymo EZ DNA methylation (Zymo Research, CA, USA). Each cohort performed its own quality control removing low quality samples and low quality CpGs, and normalized their untransformed methylation β-values as previously described [2 (link),3 (link)].
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8

DNA Methylation Analysis of Pediatric Saliva Samples

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De-identified saliva samples (n=45) from children were obtained from other studies. All samples were de-identified and numerically labeled. This study was approved by the UNM IRB. DNA was extracted using the Qiagen kit and submitted for testing on the Illumina 450k BeadChip. For 4 samples, DNA was analyzed by three different methods in parallel: MeDIP followed by bisulfite conversion and then sequencing by either the IonProton at the ATG facility at UNM, or the Illumina MiSeq in the lab of Darrell Dinwiddie at UNM. Parallel aliquots of the same DNA were submitted for Illumina BeadChip. Resulting sequences were aligned using Interactive Genome Viewer (GV; (http://software.broadinstitute.org/software/igv/). Results from the Illumina BeadChip were further analyzed using RNBeads. Methylation patterns of brain, keratinocytes and whole blood for cell type deconvolution were from the Genome Omnibus (GEO). Please see figure legends for more detail on methods.
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9

Genome-wide DNA Methylation Analysis Using Illumina 450k Beadchip

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Genome-wide DNA methylation analysis was performed on DNAs from 48 fresh-frozen samples. Microarray data were collected at Expression Analysis Inc. (Durham, NC, USA) using the IlluminaHumanMethylation450 Beadchip (Illumina) and preprocessed using the Bioconductor methylumi software package (version 2.14.0; PMID 18467348) as described previously.40 (link) Genome-wide methylation data were deposited into the GEO database under the accession number GSE77954. Methylation values were reported as M-values (log 2 ratios of methylated to unmethylated probes). To determine probe-wise methylation scores, we associated each probe with the nearest annotated transcriptional start site, focusing on probes within the putative promoter regions of annotated genes (Supplementary Table S6).
To subgroup TCGA tumors into MLH1 methylation high/low categories, we obtained raw Illumina 450k Beadchip microarray data for 292 tumor samples from the TCGA and preprocessed it as described above. As described previously, we examined probe cg00893636 located in the CpG island of the bidirectional MLH1/EPM2AIP1 promoter. The normalized methylation scores (M-value) were transformed to z-scores by centering on the mean and scaling to unit variance. As expected, visual inspection revealed a strongly bimodal distribution and samples with positive scores were assigned the MLH1/CIMP+ subgroup label.
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10

Evaluating Methylation in FF and FFPE Tissue

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We utilized two large independent cohorts to investigate the relationship of methylation measurements in FF and FFPE tissue: a cohort of 138 FF breast tumors previously described (10) and a cohort of 733 FFPE patient samples obtained through the Women's Circle of Health (WCHS), a case-control study of aggressive breast cancer in African-American and European-American women [20 (link)–22 (link)]. The FFPE cohort DNA was extracted from either a 10 mm punch, 20 μm curl or 10 μm slides and all samples underwent QC assay as described above. The Illumina 450K Beadchip was run on both the FF and FFPE samples, with raw data processed as described above. With filtered datasets, we then compared the total number of race-associated DMLs (AA vs EA) between the FF and FFPE cohorts, and further examined DMLs by ER–status (ER+, ER–) using two different delta-β-value thresholds (Δβ > 0.10 and Δβ > 0.17) yielding a total of 12 comparisons. The EpiR package was used to determine the sensitivity, specificity, and positive and negative predictive values assuming FF cohort DMLs as the gold standard.
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