Evidence map›Paper›PMID 18237388›Full record

ArticleBMC genomics2008

A novel method to quantify local CpG methylation density by regional methylation elongation assay on microarray.

Dingdong Zhang, Yan Wang, Yunfei Bai, Qinyu Ge, Yingjuan Qiao, Junfeng Luo, Chao Jia, Zuhong Lu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Clinicopathological significance and potential drug target of O6-methylguanine-DNA methyltransferase in colorectal cancer: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Pooled it
  2. Prognostic value of MGMT methylation in colorectal cancer: a meta-analysis and literature review.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Pooled it
  3. DNA Methylation in Solid Tumors: Functions and Methods of Detection.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Dingdong ZhangState Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China. zdd_7597@seu.edu.cn
Yan Wang
Yunfei Bai
Qinyu Ge
Yingjuan Qiao
Junfeng Luo
Chao Jia
Zuhong Lu
Southeast University · CN

Funding

Consequences of prenatal ethanol exposure and maternal stress on offspringF31AA020702 · NIAAA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI STAPLES, MIRANDA · 2011 to 2012
$47k
NIAAA NIH HHS F31 AA020702
6 · The paper itself

Abstract

backgroundDNA methylation based techniques are important tools in both clinical diagnostics and therapeutics. But most of these methods only analyze a few CpG sites in a target region. Indeed, difference of site-specific methylation may also lead to a change of methylation density in many cases, and it has been found that the density of methylation is more important than methylation of single CpG site for gene silencing.

resultsWe have developed a novel approach for quantitative analysis of CpG methylation density on the basis of microarray-based hybridization and incorporation of Cy5-dCTP into the Cy3 labeled target DNA by using Taq DNA Polymerase on microarray. The quantification is achieved by measuring Cy5/Cy3 signal ratio which is proportional to methylation density. This methylation-sensitive technique, termed RMEAM (regional methylation elongation assay on microarray), provides several advantages over existing methods used for methylation analysis. It can determine an exact methylation density of the given region, and has potential of high throughput. We demonstrate a use of this method in determining the methylation density of the promoter region of the tumor-related gene MLH1, TERT and MGMT in colorectal carcinoma patients.

conclusionThis technique allows for quantitative analysis of regional methylation density, which is the representative of all allelic methylation patterns in the sample. The results show that this technique has the characteristics of simplicity, rapidness, specificity and high-throughput.

Indexed as

CpG IslandsDNA Methylation5' Untranslated RegionsAdaptor Proteins, Signal TransducingBase SequenceCarbocyaninesColorectal NeoplasmsDNADNA Modification MethylasesDNA, NeoplasmDNA Repair EnzymesFluorescent DyesHumansMolecular Sequence DataMutL Protein Homolog 1Nuclear Proteins5' Untranslated RegionsAdaptor Proteins, Signal TransducingCarbocyaninescyanine dye 3DNADNA Modification MethylasesDNA, NeoplasmDNA Repair EnzymesFluorescent DyesMGMT protein, humanMLH1 protein, humanMutL Protein Homolog 1Nuclear ProteinsTaq PolymeraseTelomeraseTERT protein, humanTumor Suppressor Proteins

Identifiers

PMID18237388
PMCPMC2262069
OpenAlexW2053129942

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.