ArticleScientific reports2014
Identification of genes with consistent methylation levels across different human tissues.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- An epigenetic clock for chronological age estimation in East Asian populations.NAR genomics and bioinformatics · 2026Article
- Global Hypomethylation in Cell-Free DNA Enables Noninvasive Colorectal Cancer Screening: Results from a Retrospective Validation Study.Computational and structural biotechnology journal · 2026Article
- A supervised learning method for classifying methylation disorders.BMC bioinformatics · 2024Article
- Down-regulation of EGFL8 regulates migration, invasion and apoptosis of hepatocellular carcinoma through activating Notch signaling pathway.BMC cancer · 2021Article
- Integrated genome-wide methylation and expression analyses reveal functional predictors of response to antidepressants.Translational psychiatry · 2019Article
- DNA methylation as a potential diagnosis indicator for rapid discrimination of rare cancer cells and normal cells.Scientific reports · 2015Article
- Assisted reproduction causes placental maldevelopment and dysfunction linked to reduced fetal weight in mice.Scientific reports · 2015Article
- Intra-Monozygotic Twin Pair Discordance and Longitudinal Variation of Whole-Genome Scale DNA Methylation in Adults.PloS one · 2015Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation plays an important role in regulating cell growth and disease development. Methylation profiles are examined by bisulfite conversion; however, the lack of markers for bisulfite conversion efficiency and appropriate internal control genes remains a major challenge. To address these issues, we utilized two bioinformatics approaches, coefficients of variances and resampling tests, to identify probes showing stable methylation levels from several independent microarray datasets. Mass spectrometry validated the consistently high methylation levels of the five probes (N4BP2, EGFL8, CTRB1, TSPAN3, and ZNF690) in 13 human tissue types from 24 cell lines. Linear associations between detected methylation levels and methyl concentrations of DNA samples were further demonstrated in three genes (N4BP2, EGFL8, and CTRB1). To summarize, we identified five genes which may serve as internal controls for methylation studies by analyzing large-scale microarray data, and three of them can be used as markers for evaluating the efficiency of bisulfite conversion.
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