Evidence map›Paper›PMID 19474344›Full record

ArticleNucleic acids research2009

Methylation detection oligonucleotide microarray analysis: a high-resolution method for detection of CpG island methylation.

Sitharthan Kamalakaran, Jude Kendall, Xiaoyue Zhao, Chunlao Tang, Sohail Khan, Kandasamy Ravi, Theresa Auletta, Michael Riggs, Yun Wang, Aslaug Helland and 5 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

15 authors at 3 institutions in 2 countries.

Sitharthan KamalakaranPhilips Research North America, Briarcliff Manor, NY 10510, USA.
Jude Kendall
Xiaoyue Zhao
Chunlao Tang
Sohail Khan
Kandasamy Ravi
Theresa Auletta
Michael Riggs
Yun Wang
Aslaug Helland
Bjørn Naume
Nevenka Dimitrova
Anne-Lise Børresen-Dale
Jim Hicks
Robert Lucito
Cold Spring Harbor Laboratory · USUniversity of Oslo · NOPhilips (United States) · US

Funding

Application of Genomic Microarrays to Breast CancerK01CA093634 · NCI · COLD SPRING HARBOR LABORATORY · PI LUCITO, ROBERT · 2002 to 2006
$683k
NCI NIH HHS K01CA93634-01
6 · The paper itself

Abstract

Methylation of CpG islands associated with genes can affect the expression of the proximal gene, and methylation of non-associated CpG islands correlates to genomic instability. This epigenetic modification has been shown to be important in many pathologies, from development and disease to cancer. We report the development of a novel high-resolution microarray that detects the methylation status of over 25,000 CpG islands in the human genome. Experiments were performed to demonstrate low system noise in the methodology and that the array probes have a high signal to noise ratio. Methylation measurements between different cell lines were validated demonstrating the accuracy of measurement. We then identified alterations in CpG islands, both those associated with gene promoters, as well as non-promoter-associated islands in a set of breast and ovarian tumors. We demonstrate that this methodology accurately identifies methylation profiles in cancer and in principle it can differentiate any CpG methylation alterations and can be adapted to analyze other species.

Indexed as

CpG IslandsDNA MethylationCell LineGenes, NeoplasmGenome, HumanHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID19474344
PMCPMC2709589
OpenAlexW2161057402

What OpenQuestion holds

Textmetadata
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.