Evidence map›Paper›PMID 32906203›Full record

ArticleHuman mutation2020

Quantification of DNA methylation independent of sodium bisulfite conversion using methylation-sensitive restriction enzymes and digital PCR.

Rogier J Nell, Debby van Steenderen, Nino V Menger, Thomas J Weitering, Mieke Versluis, Pieter A van der Velden

Abstract read
In one paragraph

Article in Human mutation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quantification of Unmethylated Insulin DNA Using Methylation Sensitive Restriction Enzyme Digital Polymerase Chain Reaction.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  9. Article
  10. Article
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

6 authors.

Rogier J NellDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.
Debby van SteenderenDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.
Nino V MengerDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.
Thomas J WeiteringDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.
Mieke VersluisDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.
Pieter A van der VeldenDepartment of Ophthalmology, Leiden University Medical Center, Leiden, South Holland, The Netherlands.ORCID 0000-0002-5710-9256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic regulation is important in human health and disease, but the exact mechanisms remain largely enigmatic. DNA methylation represents one epigenetic aspect but is challenging to quantify. In this study, we introduce a digital approach for the quantification of the amount and density of DNA methylation. We designed an experimental setup combining efficient methylation-sensitive restriction enzymes with digital polymerase chain reaction (PCR) to quantify a targeted density of DNA methylation independent of bisulfite conversion. By using a stable reference and comparing experiments treated and untreated with these enzymes, copy number instability could be properly normalized. In silico simulations demonstrated the mathematical validity of the setup and showed that the measurement precision depends on the amount of input DNA and the fraction methylated alleles. This uncertainty could be successfully estimated by the confidence intervals. Quantification of RASSF1 promoter methylation in a variety of healthy and malignant samples and in a calibration curve confirmed the high accuracy of our approach, even in minute amounts of DNA. Overall, our results indicate the possibility of quantifying DNA methylation with digital PCR, independent of bisulfite conversion. Moreover, as the context-density of methylation can also be determined, biological mechanisms can now be quantitatively assessed.

Indexed as

Polymerase Chain ReactionBase SequenceCalibrationCell Line, TumorComputer SimulationDNA MethylationDNA Restriction EnzymesHumansPromoter Regions, GeneticReference StandardsReproducibility of ResultsSulfitesDNA Restriction Enzymessodium bisulfiteSulfitesbisulfite conversiondigital PCRDNA methylationmethylation-sensitive restriction enzymesquantification

Identifiers

PMID32906203
PMCPMC7756443

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Registered trials

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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.