ArticleEpigenetics2022
Human non-CpG methylation patterns display both tissue-specific and inter-individual differences suggestive of underlying function.
Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- A Guide to Enzymatic Targeted Methylation Sequencing Bioinformatics Workflow: Best Practices.Current protocols · 2026Article
- Assessment of radiotherapy effect and toxicity using tissue-associated DNA methylation markers in cell-free DNA: a study on prostate cancer.Radiation and environmental biophysics · 2026Article
- Article
- MethPy: a new software for analyzing non-CpG methylation after bisulfite assay and Sanger sequencing.Scientific reports · 2025Article
- Computational analysis of DNA methylation from long-read sequencing.Nature reviews. Genetics · 2025Review
- Comprehensive analysis acrossiScience · 2025Article
- How do lifestyle and environmental factors influence the sperm epigenome? Effects on sperm fertilising ability, embryo development, and offspring health.Clinical epigenetics · 2025Review
- The impact of site-specific DNA methylation inHeliyon · 2024Article
- The Role of DNMT Methyltransferases and TET Dioxygenases in the Maintenance of the DNA Methylation Level.Biomolecules · 2024Review
- Single-stranded pre-methylated 5mC adapters uncover the methylation profile of plasma ultrashort Single-stranded cell-free DNA.Nucleic acids research · 2024Article
- No time to die: Epigenetic regulation of natural killer cell survival.Immunological reviews · 2024Review
- A supervised learning method for classifying methylation disorders.BMC bioinformatics · 2024Article
- Perinatal S-Adenosylmethionine Supplementation RepressesInternational journal of molecular sciences · 2023Article
- Epigenetic Alterations of Repeated Relapses in Patient-matched Childhood Ependymomas.Nature communications · 2022Article
- TET1 overexpression attenuates paclitaxel-induced neuropathic pain through rescuing KLife sciences · 2022Article
- DNA Methylation Malleability and Dysregulation in Cancer Progression: Understanding the Role of PARP1.Biomolecules · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
DNA methylation (DNAm) in mammals is mostly examined within the context of CpG dinucleotides. Non-CpG DNAm is also widespread across the human genome, but the functional relevance, tissue-specific disposition, and inter-individual variability has not been widely studied. Our aim was to examine non-CpG DNAm in the wider methylome across multiple tissues from the same individuals to better understand non-CpG DNAm distribution within different tissues and individuals and in relation to known genomic regulatory features.DNA methylation in umbilical cord and cord blood at birth, and peripheral venous blood at age 12-13 y from 20 individuals from the Southampton Women's Survey cohort was assessed by Agilent SureSelect methyl-seq. Hierarchical cluster analysis (HCA) was performed on CpG and non-CpG sites and stratified by specific cytosine environment. Analysis of tissue and inter-individual variation was then conducted in a second dataset of 12 samples: eight muscle tissues, and four aliquots of cord blood pooled from two individuals.HCA using methylated non-CpG sites showed different clustering patterns specific to the three base-pair triplicate (CNN) sequence. Analysis of CAC sites with non-zero methylation showed that samples clustered first by tissue type, then by individual (as observed for CpG methylation), while analysis using non-zero methylation at CAT sites showed samples grouped predominantly by individual. These clustering patterns were validated in an independent dataset using cord blood and muscle tissue.This research suggests that CAC methylation can have tissue-specific patterns, and that individual effects, either genetic or unmeasured environmental factors, can influence CAT methylation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.