Evidence map›Paper›PMID 17041235›Full record

ArticleNucleic acids research2006

MMASS: an optimized array-based method for assessing CpG island methylation.

Ashraf E K Ibrahim, Natalie P Thorne, Katie Baird, Nuno L Barbosa-Morais, Simon Tavaré, V Peter Collins, Andrew H Wyllie, Mark J Arends, James D Brenton

Open access · goldAbstract readEvaluation StudyValidation 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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

14 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. DNA methylation analysis in human cancer.Methods in molecular biology (Clifton, N.J.) · 2013
    Article
  4. Review
  5. Article
  6. Hypermethylation of IGSF4 gene for noninvasive prenatal diagnosis of thalassemia.Medical science monitor : international medical journal of experimental and clinical research · 2012
    Article
  7. Article
  8. Article
  9. Profiling DNA methylomes from microarray to genome-scale sequencing.Technology in cancer research & treatment · 2010
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. 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

9 authors at 4 institutions in 2 countries.

Ashraf E K IbrahimDepartment of Pathology, Division of Molecular Histopathology, Addenbrooke's Hospital Hills Road, Cambridge CB2 2XZ, UK. aeki2@cam.ac.uk
Natalie P Thorne
Katie Baird
Nuno L Barbosa-Morais
Simon Tavaré
V Peter Collins
Andrew H Wyllie
Mark J Arends
James D Brenton
Addenbrooke's Hospital · GBHutchison/MRC Research Centre · GBUniversity of Cambridge · GBUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe an optimized microarray method for identifying genome-wide CpG island methylation called microarray-based methylation assessment of single samples (MMASS) which directly compares methylated to unmethylated sequences within a single sample. To improve previous methods we used bioinformatic analysis to predict an optimized combination of methylation-sensitive enzymes that had the highest utility for CpG-island probes and different methods to produce unmethylated representations of test DNA for more sensitive detection of differential methylation by hybridization. Subtraction or methylation-dependent digestion with McrBC was used with optimized (MMASS-v2) or previously described (MMASS-v1, MMASS-sub) methylation-sensitive enzyme combinations and compared with a published McrBC method. Comparison was performed using DNA from the cell line HCT116. We show that the distribution of methylation microarray data is inherently skewed and requires exogenous spiked controls for normalization and that analysis of digestion of methylated and unmethylated control sequences together with linear fit models of replicate data showed superior statistical power for the MMASS-v2 method. Comparison with previous methylation data for HCT116 and validation of CpG islands from PXMP4, SFRP2, DCC, RARB and TSEN2 confirmed the accuracy of MMASS-v2 results. The MMASS-v2 method offers improved sensitivity and statistical power for high-throughput microarray identification of differential methylation.

Indexed as

CpG IslandsDNA MethylationCell Line, TumorComputational BiologyDNA ProbesDNA Restriction EnzymesGenes, NeoplasmGenomicsHumansOligonucleotide Array Sequence AnalysisSequence Analysis, DNADNA ProbesDNA Restriction EnzymesMcrBC endonuclease

Identifiers

PMID17041235
PMCPMC1635254
OpenAlexW2129265405

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.