Evidence map›Paper›PMID 20712707›Full record

ArticleHuman cell2010

Detection of genomic DNA methylation with denaturing high performance liquid chromatography.

Romaica A Omaruddin, M Ahmad Chaudhry

Abstract read
PubMed Publisher
In one paragraph

Article in Human cell, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Romaica A OmaruddinDepartment of Medical Laboratory and Radiation Science, University of Vermont, Burlington, Vermont 05405, USA.
M Ahmad Chaudhry
University of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation contributes to the epigenetic control of gene expression. Variations in the methylation status can result in the silencing of genes. DNA methyltransferase converts cytosine to 5-methyl cytosine in CpG islands located in the promoter regions of genes. When CpG islands are hypermethylated, the gene is repressed/silenced, and similarly when it is hypomethylated, transcription can take place and the gene is expressed. The classical methods to detect DNA methylation require labor-intensive and time-consuming steps. As a result of large-scale expression profiling studies, high-throughput techniques are needed to screen for alterations in the methylation patterns. Denaturing high performance liquid chromatography (DHPLC) is a reliable, highly sensitive technique for mutation discovery. In the present study we examined the suitability of DHPLC technology to detect alterations in methylation pattern of the promoter regions of several genes. We report reliable and reproducible results in distinguishing methylated and unmethylated promoter regions of human PCDHGB6, c-MYC, MGMT1, CDKN2A/p16, and ATM genes. These DHPLC profiles were independently confirmed with bisulfite genomic sequencing. In conclusion, DHPLC technology serves as a rapid screening tool to monitor the genomic DNA methylation and could be used to increase the throughput efficiency of methylation analysis.

Indexed as

Chromatography, High Pressure LiquidDNA MethylationGenome, HumanHumansPromoter Regions, Genetic

Identifiers

PMID20712707
OpenAlexW1481035150

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.