Evidence map›Paper›PMID 18480118›Full record

ArticleNucleic acids research2008

A simple algorithm for quantifying DNA methylation levels on multiple independent CpG sites in bisulfite genomic sequencing electropherograms.

Tatiana I Leakey, Jerzy Zielinski, Rachel N Siegfried, Eric R Siegel, Chun-Yang Fan, Craig A Cooney

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

16 citing papers in PubMed.

  1. Article
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  9. CHST11 gene expression and DNA methylation in breast cancer.International journal of oncology · 2015
    Article
  10. Article
  11. Article
  12. Article
  13. Epigenetic alterations may regulate temporary reversal of CD4(+) T cell activation caused by trichloroethylene exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2012
    Article
  14. Article
  15. Article
  16. 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.

Tatiana I LeakeyDepartment of Biochemistry and Molecular Biology, The University of Arkansas for Medical Sciences, Central Arkansas Veterans Health Care Systems, Little Rock AR, USA.
Jerzy Zielinski
Rachel N Siegfried
Eric R Siegel
Chun-Yang Fan
Craig A Cooney

Funding

RESEARCH MANAGEMENT AND ADMINISTRATIONP01AG020641 · NIA · UNIV OF ARKANSAS FOR MED SCIS · PI SHMOOKLER REIS, ROBERT JOSEPH · 2003 to 2007
$5.0M
Ethanol Teratogenesis and Genomic ImprintingR01AA016676 · NIAAA · UNIVERSITY OF COLORADO · PI JOHNSON, THOMAS E. · 2006 to 2010
$2.1M
NIAAA NIH HHS R01 AA016676NIAAA NIH HHS R01AA016676NIA NIH HHS P01 AG020641NIA NIH HHS P01AG20641
6 · The paper itself

Abstract

DNA methylation at cytosines is a widely studied epigenetic modification. Methylation is commonly detected using bisulfite modification of DNA followed by PCR and additional techniques such as restriction digestion or sequencing. These additional techniques are either laborious, require specialized equipment, or are not quantitative. Here we describe a simple algorithm that yields quantitative results from analysis of conventional four-dye-trace sequencing. We call this method Mquant and we compare it with the established laboratory method of combined bisulfite restriction assay (COBRA). This analysis of sequencing electropherograms provides a simple, easily applied method to quantify DNA methylation at specific CpG sites.

Indexed as

AlgorithmsCpG IslandsDNA MethylationAnimalsElectrophoresis, Agar GelFluorescent DyesGenomicsMicePolymerase Chain ReactionSulfitesThymineFluorescent Dyeshydrogen sulfiteSulfitesThymine

Identifiers

PMID18480118
PMCPMC2441810

What OpenQuestion holds

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LicenceCC BY-NC
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.