Evidence map›Paper›PMID 19393074›Full record

ArticleBMC cancer2009

Quantitation of DNA methylation by melt curve analysis.

Eric Smith, Michael E Jones, Paul A Drew

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021
    Review
  8. Article
  9. Article
  10. Review
  11. Targeting Chromatin Remodeling for Cancer Therapy.Current molecular pharmacology · 2019
    Review
  12. Article
  13. Article
  14. Cell journal · 2017
    Article
  15. A novel truncated form ofOncology letters · 2016
    Article
  16. Article
  17. Article
  18. Hypermethylation of BDNF and SST Genes in the Orbital Frontal Cortex of Older Individuals: A Putative Mechanism for Declining Gene Expression with Age.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015
    Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Eric SmithSchool of Nursing and Midwifery, Flinders University, Bedford Park, South Australia 5042, Australia. eric.smith@adelaide.edu.au
Michael E Jones
Paul A Drew
Flinders University · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation of DNA is a common mechanism for silencing genes, and aberrant methylation is increasingly being implicated in many diseases such as cancer. There is a need for robust, inexpensive methods to quantitate methylation across a region containing a number of CpGs. We describe and validate a rapid, in-tube method to quantitate DNA methylation using the melt data obtained following amplification of bisulfite modified DNA in a real-time thermocycler.

methodsWe first describe a mathematical method to normalise the raw fluorescence data generated by heating the amplified bisulfite modified DNA. From this normalised data the temperatures at which melting begins and finishes can be calculated, which reflect the less and more methylated template molecules present respectively. Also the T50, the temperature at which half the amplicons are melted, which represents the summative methylation of all the CpGs in the template mixture, can be calculated. These parameters describe the methylation characteristics of the region amplified in the original sample.

resultsFor validation we used synthesized oligonucleotides and DNA from fresh cells and formalin fixed paraffin embedded tissue, each with known methylation. Using our quantitation we could distinguish between unmethylated, partially methylated and fully methylated oligonucleotides mixed in varying ratios. There was a linear relationship between T50 and the dilution of methylated into unmethylated DNA. We could quantitate the change in methylation over time in cell lines treated with the demethylating drug 5-aza-2'-deoxycytidine, and the differences in methylation associated with complete, clonal or no loss of MGMT expression in formalin fixed paraffin embedded tissues.

conclusionWe have validated a rapid, simple in-tube method to quantify methylation which is robust and reproducible, utilizes easily designed primers and does not need proprietary algorithms or software. The technique does not depend on any operator manipulation or interpretation of the melt curves, and is suitable for use in any laboratory with a real-time thermocycler. The parameters derived provide an objective description and quantitation of the methylation in a specimen, and can be used to for statistical comparisons of methylation between specimens.

Indexed as

DNA MethylationHot TemperatureAlgorithmsAntimetabolites, AntineoplasticAzacitidineCell Line, TumorColorectal NeoplasmsCyclin-Dependent Kinase Inhibitor p16DecitabineDNA Modification MethylasesDNA, NeoplasmDNA Repair EnzymesEsophageal NeoplasmsHumansImmunohistochemistryNucleic Acid DenaturationAntimetabolites, AntineoplasticAzacitidineCyclin-Dependent Kinase Inhibitor p16DecitabineDNA Modification MethylasesDNA, NeoplasmDNA Repair EnzymesMGMT protein, humanOligonucleotidesTIMP3 protein, humanTissue Inhibitor of Metalloproteinase-3Tumor Suppressor Proteins

Identifiers

PMID19393074
PMCPMC2679043
OpenAlexW1964986882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.