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Humanmethylation450 hm450 arrays

Manufactured by Illumina

The HumanMethylation450 (HM450) arrays are a lab equipment product developed by Illumina. The HM450 arrays are designed to analyze DNA methylation patterns across the human genome. They provide a comprehensive coverage of CpG sites, allowing researchers to investigate epigenetic changes associated with various biological processes and diseases.

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4 protocols using humanmethylation450 hm450 arrays

1

Epigenetic profiling of esophageal adenocarcinoma

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DNA extraction and bisulfite conversion were performed as described previously27 (link). DNA samples were processed and run on HumanMethylation450 (HM450) arrays following the manufacturer’s instructions (Illumina Inc.). Raw intensity data was read, preprocessed and batch corrected in R (v3.2.2). After subsequent filtering, 426,718 probes were left for analysis. Additional HM450 array datasets include: Level 1 HM450 array data from 87 EAC and 11 adjacent normal tissue samples obtained from TCGA on 11/13/2015 (https://tcga-data.nci.nih.gov/tcga/), and 125 EAC samples from the Gene Expression Omnibus (study ID: GSE72872) 23 (link).
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2

Integrative Analysis of TCGA Kidney Cancer

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We used data from TCGA collaboration as a source of gene expression (from RNA sequencing) and DNA methylation (from high-density methylation arrays). In order to obtain the gene expression profiles corresponding to each progression stage, we downloaded Illumina RNA-Seq level 3 gene expression files from TCGA–ccRC samples.
We used methylation data from TCGA in the form of beta values (β), which measure the level of DNA methylation at known CpG sites via Illumina HumanMethylation450 (HM450) arrays. These values are calculated from array intensities (level 2 data) as MM+U , where M corresponds to methylated probes. Meanwhile, U takes account for non-methylated ones, marked by bisulfite conversion (Zhou et al., 2016 (link)). The indexes of both datasets were harmonized to match patient codes as a key for paste RNA-seq and methylation beta values. This is the reason for the number of samples not corresponding with the original RNA-Seq number of samples. Download, annotation, and low-level analysis were performed using the TCGAbiolinks R library (Colaprico et al., 2015 (link)). We processed the clinical information directly from the TCGA-KIRC project. We categorized all samples by tumor_stage variable. The samples were cleaned to exclude those samples with non-reported stages or values. The TCGAbiolinks library was also used to retrieve clinical data from TCGA.
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3

Comprehensive Analysis of OSCC Transcriptome and Methylome

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The gene expression profiles of 75 OSCC samples were obtained from The Cancer Genome Atlas (TCGA, www.cancergenome.nih.gov), including 65 OSCC tumor samples and 5 pairs of tumor and paracancerous samples. The HTSeq-Counts data were downloaded for subsequent analysis.
The DNA methylation data were downloaded from TCGA and Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/). The TCGA dataset consisted of the DNA methylation data and clinical information of 75 OSCC samples, including 65 OSCC tumor samples and 5 pairs of tumor and paracancerous samples. The GEO dataset GSE87053 included 11 OSCC tumor samples and 10 normal controls, and GSE123781 included 23 OSCC tumor samples and 18 normal controls. The DNA methylation profiles were all measured by Illumina Human Methylation 450 (HM450) arrays.
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4

TCGA-HNSC DNA Methylation and mRNA Profiles

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Datasets on DNA methylation and mRNA expression pro les of HNSCC were obtained from the Cancer Genome Atlas (TCGA, https://tcgadata. nci. nih. gov/tcga/). The datasets of TCGA-HNSC Project, which including the information of 527 HNSCC cases, were selected for further analysis. Among them, data of 493 cases with complete information of mRNA expression data (HTSeq-Counts format), DNA methylation data (Platform: Illumina Human Methylation 450 (HM450) arrays) and clinical data was downloaded.
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