ArticleGenome research2013
Estimating absolute methylation levels at single-CpG resolution from methylation enrichment and restriction enzyme sequencing methods.
Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
What it found
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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.
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Who cites it
87 citing papers in PubMed.
- Characterizing cytosine methylation of polymorphic transposable element insertions using the human pangenome resources.Genome research · 2026Article
- Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026Review
- Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- DNA methylation in esophageal cancer: technological advances and early detection clinical applications.Frontiers in oncology · 2025Review
- CpGFuse: a holistic approach for accurate identification of methylation states of DNA CpG sites.Briefings in bioinformatics · 2024Article
- Longitudinal analysis of influenza vaccination implicates regulation of RIG-I signaling by DNA methylation.Scientific reports · 2024Article
- Single-cell sequencing technology applied to epigenetics for the study of tumor heterogeneity.Clinical epigenetics · 2023Review
- Non-small Cell Lung Cancer Epigenomes Exhibit Altered DNA Methylation in Smokers and Never-smokers.Genomics, proteomics & bioinformatics · 2023Article
- iCpG-Pos: an accurate computational approach for identification of CpG sites using positional features on single-cell whole genome sequence data.Bioinformatics (Oxford, England) · 2023Article
- Article
- BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT.PeerJ · 2023Article
- Developmental Pathways Are Epigenetically Reprogrammed during Lung Cancer Brain Metastasis.Cancer research · 2022Article
- Review
- Analysis and Performance Assessment of the Whole Genome Bisulfite Sequencing Data Workflow: Currently Available Tools and a Practical Guide to Advance DNA Methylation Studies.Small methods · 2022Review
- DNA Methylation and Non-Coding RNAs during Tissue-Injury Associated Pain.International journal of molecular sciences · 2022Review
- Completing Single-Cell DNA Methylome ProfilesFrontiers in genetics · 2022Article
- Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
- DNA methylation methods: Global DNA methylation and methylomic analyses.Methods (San Diego, Calif.) · 2021Review
- Genome-Wide DNA Methylation Profile in Jejunum Reveals the Potential Genes Associated With Paratuberculosis in Dairy Cattle.Frontiers in genetics · 2021Article
- Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021Review
27 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Recent advancements in sequencing-based DNA methylation profiling methods provide an unprecedented opportunity to map complete DNA methylomes. These include whole-genome bisulfite sequencing (WGBS, MethylC-seq, or BS-seq), reduced-representation bisulfite sequencing (RRBS), and enrichment-based methods such as MeDIP-seq, MBD-seq, and MRE-seq. These methods yield largely comparable results but differ significantly in extent of genomic CpG coverage, resolution, quantitative accuracy, and cost, at least while using current algorithms to interrogate the data. None of these existing methods provides single-CpG resolution, comprehensive genome-wide coverage, and cost feasibility for a typical laboratory. We introduce methylCRF, a novel conditional random fields-based algorithm that integrates methylated DNA immunoprecipitation (MeDIP-seq) and methylation-sensitive restriction enzyme (MRE-seq) sequencing data to predict DNA methylation levels at single-CpG resolution. Our method is a combined computational and experimental strategy to produce DNA methylomes of all 28 million CpGs in the human genome for a fraction (<10%) of the cost of whole-genome bisulfite sequencing methods. methylCRF was benchmarked for accuracy against Infinium arrays, RRBS, WGBS sequencing, and locus-specific bisulfite sequencing performed on the same human embryonic stem cell line. methylCRF transformation of MeDIP-seq/MRE-seq was equivalent to a biological replicate of WGBS in quantification, coverage, and resolution. We used conventional bisulfite conversion, PCR, cloning, and sequencing to validate loci where our predictions do not agree with whole-genome bisulfite data, and in 11 out of 12 cases, methylCRF predictions of methylation level agree better with validated results than does whole-genome bisulfite sequencing. Therefore, methylCRF transformation of MeDIP-seq/MRE-seq data provides an accurate, inexpensive, and widely accessible strategy to create full DNA methylomes.
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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.