Evidence map›Paper›PMID 11779841›Full record

ArticleGenome research2002

Methylation-specific oligonucleotide microarray: a new potential for high-throughput methylation analysis.

Raad S Gitan, Huidong Shi, Chuan-Mu Chen, Pearlly S Yan, Tim Hui-Ming Huang

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed, 280 citations in OpenAlex.

  1. Article
  2. Microarrays and the Dawn of Omics Data Analysis.Advances in experimental medicine and biology · 2026
    Review
  3. DNA Methylation in Rice: Mechanisms, Regulatory Roles, and Beyond.International journal of molecular sciences · 2025
    Review
  4. Methylation ofMedComm · 2023
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Ultrastructural localization of 5-methylcytosine on DNA and RNA.Cellular and molecular life sciences : CMLS · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Methods for cancer epigenome analysis.Advances in experimental medicine and biology · 2013
    Review

12 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

5 authors at 2 institutions in 1 country.

Raad S GitanDepartment of Pathology, Ellis Fischel Cancer Center, University of Missouri School of Medicine, Columbia 65203, USA.
Huidong Shi
Chuan-Mu Chen
Pearlly S Yan
Tim Hui-Ming Huang
University of Missouri · USCancer Research Center · US

Funding

DNA Hypermethylation in Breast CancerR01CA069065 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2002 to 2011
$2.4M
HIGH THROUGHPUT METHYLATION ANALYSIS IN CANCERR33CA084701 · NCI · UNIVERSITY OF MISSOURI-COLUMBIA · PI HUANG, TIM H.-M. · 2000 to 2002
$1.3M
DNA HYPERMETHYLATION IN BREAST CANCERR29CA069065 · NCI · UNIVERSITY OF MISSOURI-COLUMBIA · PI HUANG, TIM H.-M. · 1996 to 2000
$108k
NCI NIH HHS CA-69065NCI NIH HHS CA-84701NCI NIH HHS R01 CA069065NCI NIH HHS R29 CA069065
6 · The paper itself

Abstract

Oligonucleotide microarray-based hybridization is an emerging technology for genome-wide detection of DNA variations. We have extended this principle and developed a novel approach, called methylation-specific oligonucleotide (MSO) microarray, for detecting changes of DNA methylation in cancer. The method uses bisulfite-modified DNA as a template for PCR amplification, resulting in conversion of unmethylated cytosine, but not methylated cytosine, into thymine within CpG islands of interest. The amplified product, therefore, may contain a pool of DNA fragments with altered nucleotide sequences due to differential methylation status. A test sample is hybridized to a set of oligonucleotide (19-23 nucleotides in length) arrays that discriminate methylated and unmethylated cytosine at specific nucleotide positions, and quantitative differences in hybridization are determined by fluorescence analysis. A unique control system is also implemented to test the accuracy and reproducibility of oligonucleotides designed for microarray hybridization. This MSO microarray was applied to map methylated CpG sites within the human estrogen receptor alpha (ERalpha) gene CpG island in breast cancer cell lines, normal fibroblasts, breast tumors, and normal controls. Methylation patterns of the breast cancer cell lines, determined by MSO microarray, were further validated by bisulfite nucleotide sequencing (P <0.001). This proof-of-principle study shows that MSO microarray is a promising technique for mapping methylation changes in multiple CpG island loci and for generating epigenetic profiles in cancer.

Indexed as

DNA MethylationBase SequenceBreast NeoplasmsCell LineCpG IslandsDNA, NeoplasmEstrogen Receptor alphaFemaleFibroblastsHumansMolecular Sequence DataOligonucleotide Array Sequence AnalysisReceptors, EstrogenTumor Cells, CulturedDNA, NeoplasmEstrogen Receptor alphaReceptors, Estrogen

Identifiers

PMID11779841
PMCPMC155260
OpenAlexW2049174408

What OpenQuestion holds

Textmetadata
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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.