Evidence map›Paper›PMID 16428248›Full record

ArticleNucleic acids research2006

Microarray-based DNA methylation profiling: technology and applications.

Axel Schumacher, Philipp Kapranov, Zachary Kaminsky, James Flanagan, Abbas Assadzadeh, Patrick Yau, Carl Virtanen, Neil Winegarden, Jill Cheng, Thomas Gingeras and 1 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
15.6field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 292 citations in OpenAlex.

  1. Review
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  14. NAR cancer · 2023
    Article
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44 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

11 authors at 1 institution in 1 country.

Axel SchumacherThe Krembil Family Epigenetics Laboratory, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada M5T 1R8.
Philipp Kapranov
Zachary Kaminsky
James Flanagan
Abbas Assadzadeh
Patrick Yau
Carl Virtanen
Neil Winegarden
Jill Cheng
Thomas Gingeras
Arturas Petronis
Centre for Addiction and Mental Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrogated on microarrays. We have investigated various aspects of the technology including its replicability, informativeness, sensitivity and optimal PCR conditions using microarrays containing oligonucleotides representing 100 kb of genomic DNA derived from the chromosome 22 COMT region in addition to 12 192 element CpG island microarrays. Several new aspects of methylation profiling are provided, including the parallel identification of confounding effects of DNA sequence variation, the description of the principles of microarray design for epigenomic studies and the optimal choice of methylation sensitive restriction enzymes. We also demonstrate the advantages of using the unmethylated DNA fraction versus the methylated one, which substantially improve the chances of detecting DNA methylation differences. We applied this methodology for fine-mapping of methylation patterns of chromosomes 21 and 22 in eight individuals using tiling microarrays consisting of over 340 000 oligonucleotide probe pairs. The principles developed in this work will help to make epigenetic profiling of the entire human genome a routine procedure.

Indexed as

DNA MethylationGenome, HumanChromosome MappingChromosomes, Human, Pair 21Chromosomes, Human, Pair 22CpG IslandsDNAEpigenesis, GeneticGenomicsHumansOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionPolymorphism, Single NucleotideReproducibility of ResultsDNA

Identifiers

PMID16428248
PMCPMC1345696
OpenAlexW2104429441

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.