Evidence map›Paper›PMID 16809668›Full record

ArticleGenome research2006

Comparative isoschizomer profiling of cytosine methylation: the HELP assay.

Batbayar Khulan, Reid F Thompson, Kenny Ye, Melissa J Fazzari, Masako Suzuki, Edyta Stasiek, Maria E Figueroa, Jacob L Glass, Quan Chen, Cristina Montagna and 6 more

Abstract read
In one paragraph

Article in Genome research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 2 pooled it
–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

185 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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125 more citing papers are in PubMed but not listed here.

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

16 authors.

Batbayar KhulanDepartment of Molecular Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Reid F Thompson
Kenny Ye
Melissa J Fazzari
Masako Suzuki
Edyta Stasiek
Maria E Figueroa
Jacob L Glass
Quan Chen
Cristina Montagna
Eli Hatchwell
Rebecca R Selzer
Todd A Richmond
Roland D Green
Ari Melnick
John M Greally

Funding

Genome-wide cytosine methylation analysisR03CA111577 · NCI · ALBERT EINSTEIN COL OF MED YESHIVA UNIV · PI GREALLY, JOHN · 2004 to 2005
$165k
NCI NIH HHS R03 CA111577
6 · The paper itself

Abstract

The distribution of cytosine methylation in 6.2 Mb of the mouse genome was tested using cohybridization of genomic representations from a methylation-sensitive restriction enzyme and its methylation-insensitive isoschizomer. This assay, termed HELP (HpaII tiny fragment Enrichment by Ligation-mediated PCR), allows both intragenomic profiling and intergenomic comparisons of cytosine methylation. The intragenomic profile shows most of the genome to be contiguous methylated sequence with occasional clusters of hypomethylated loci, usually but not exclusively at promoters and CpG islands. Intergenomic comparison found marked differences in cytosine methylation between spermatogenic and brain cells, identifying 223 new candidate tissue-specific differentially methylated regions (T-DMRs). Bisulfite pyrosequencing confirmed the four candidates tested to be T-DMRs, while quantitative RT-PCR for two genes with T-DMRs located at their promoters showed the HELP data to be correlated with gene activity at these loci. The HELP assay is robust, quantitative, and accurate and is providing new insights into the distribution and dynamic nature of cytosine methylation in the genome.

Indexed as

DNA MethylationAnimalsCpG IslandsCytosineGenomeIn Situ Hybridization, FluorescenceMiceMultigene FamilyNucleic Acid HybridizationPromoter Regions, GeneticReverse Transcriptase Polymerase Chain ReactionCytosine

Identifiers

PMID16809668
PMCPMC1524864

What OpenQuestion holds

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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.