Evidence map›Paper›PMID 23804401›Full record

ArticleGenome research2013

Estimating absolute methylation levels at single-CpG resolution from methylation enrichment and restriction enzyme sequencing methods.

Michael Stevens, Jeffrey B Cheng, Daofeng Li, Mingchao Xie, Chibo Hong, Cécile L Maire, Keith L Ligon, Martin Hirst, Marco A Marra, Joseph F Costello and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

87 citing papers in PubMed.

  1. Article
  2. Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026
    Review
  3. Epigenetic networks coordinate DNA methylation across the genome.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. DNA Methylation and Non-Coding RNAs during Tissue-Injury Associated Pain.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Ten Years of EWAS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  18. Review
  19. Article
  20. Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021
    Review

27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Michael StevensDepartment of Genetics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, Missouri 63108, USA.
Jeffrey B Cheng
Daofeng Li
Mingchao Xie
Chibo Hong
Cécile L Maire
Keith L Ligon
Martin Hirst
Marco A Marra
Joseph F Costello
Ting Wang

Funding

Transgenic Mouse and Biobank CoreP01CA095616 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2003 to 2012
$20.3M
Integrated Epigenetic Maps of Human Embryonic and Adult CellsU01ES017154 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COSTELLO, JOSEPH F, MARRA, MARCO ANTONIO · 2008 to 2012
$11.6M
Therapeutic Opportunities for Pediatric AstrocytomaP01CA142536 · NCI · DANA-FARBER CANCER INST · PI SEGAL, ROSALIND A. · 2011 to 2015
$7.9M
Tissue and Pathology CoreP50CA134254 · NCI · WASHINGTON UNIVERSITY · PI POLLOCK, PAMELA M, POWELL, MATTHEW A · 2009 to 2011
$1.7M
ADVANCED EPI/GENOME BROWSER WITH ENHANCED VISUALIZATION AND ANALYSIS TOOLSR01HG007354 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2013 to 2016
$1.5M
NCI NIH HHS P01 CA095616NCI NIH HHS P01CA095616NCI NIH HHS P01 CA142536NCI NIH HHS P01CA142536NCI NIH HHS P50 CA134254NCI NIH HHS P50CA134254NHGRI NIH HHS R01 HG007354NHGRI NIH HHS R01HG007354NIEHS NIH HHS 5U01ES017154NIEHS NIH HHS U01 ES017154
6 · The paper itself

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.

Indexed as

AlgorithmsCpG IslandsDNA MethylationGenome, HumanSoftwareDNA Restriction EnzymesHumansSequence Analysis, DNADNA Restriction Enzymes

Identifiers

PMID23804401
PMCPMC3759729

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.