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.
Human methylation 450k beadchip
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
Comprehensive DNA Methylation Profiling in Cancer
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.
Quantifying DNA Methylation in Whole Blood
Characterizing Epigenetic and Functional Differences in Rheumatoid Arthritis
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.
DNA Methylation Profiling using Illumina HumanMethylation450K
Placental DNA Methylation Analysis
DNA Methylation Profiling Using Illumina BeadChips
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.
Comprehensive DNA Methylation Analysis of Whole Blood
Genome-Wide DNA Methylation Analysis
Genome-wide DNA Methylation Profiling
Genome-wide DNA Methylation Profiling
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