Evidence map›Paper›PMID 36350519›Full record

ArticleAdvances in experimental medicine and biology2022

Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns.

Jörg Tost

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Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.5field-weighted citation impact, top 2% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Beyond genes: a clinician's guide to epigenetics.Breathe (Sheffield, England) · 2025
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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

1 author at 1 institution in 1 country.

Jörg TostLaboratory for Epigenetics and Environment, Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, Université Paris-Saclay, Evry, France. tost@cnrgh.fr.
Direction de la Recherche Fondamentale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is the most studied epigenetic modification, and altered DNA methylation patterns have been identified in cancer and more recently also in many other complex diseases. Furthermore, DNA methylation is influenced by a variety of environmental factors, and the analysis of DNA methylation patterns might allow deciphering previous exposures. A number of techniques to study DNA methylation either genome-wide or at specific loci have been devised using a limited number of principles for differentiating the methylation state: (1) methylation-sensitive/dependent restriction enzymes, (2) antibody or methyl-binding protein-based enrichment, or (3) chemical or enzymatic conversion, (4) direct sequence readout. Second-generation sequencing has largely replaced microarrays as a readout platform and is also becoming more popular for locus-specific DNA methylation analysis. In this chapter, the currently used methods for both genome-wide and locus-specific analysis of 5-methylcytosine as well as its oxidative derivatives such as 5-hydroxymethylcytosine are reviewed in detail and advantages and limitations of each approach are discussed. Furthermore, emerging technologies avoiding PCR amplification and allowing a direct readout of DNA methylation are summarized, together with novel applications, such as the detection of DNA methylation in single cells or in circulating cell-free DNA.

Indexed as

5-MethylcytosineDNA MethylationEpigenesis, GeneticGenomePolymerase Chain ReactionSequence Analysis, DNA5-MethylcytosineBisulphiteCell-free DNADNA methylationEnzymatic conversionHydroxymethylcytosineMethylC-SeqMethylcytosineNanoporeNGSSingle cell analysis

Identifiers

PMID36350519
OpenAlexW4308774108

What OpenQuestion holds

Textmetadata
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.