Evidence map›Paper›PMID 22329852›Full record

ArticleBMC cancer2012

The application of methylation specific electrophoresis (MSE) to DNA methylation analysis of the 5' CpG island of mucin in cancer cells.

Seiya Yokoyama, Sho Kitamoto, Norishige Yamada, Izumi Houjou, Tamotsu Sugai, Shin-ichi Nakamura, Yoshifumi Arisaka, Kyoichi Takaori, Michiyo Higashi, Suguru Yonezawa

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2012. 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
1.3field-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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Methylation-Specific Electrophoresis.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Current Advances in DNA Methylation Analysis Methods.BioMed research international · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Genetic regulation of MUC1 expression by Helicobacter pylori in gastric cancer cells.Biochemical and biophysical research communications · 2014
    Article
  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

10 authors at 4 institutions in 1 country.

Seiya YokoyamaDepartment of Human Pathology, Field of Oncology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima 890-8544, Japan.
Sho Kitamoto
Norishige Yamada
Izumi Houjou
Tamotsu Sugai
Shin-ichi Nakamura
Yoshifumi Arisaka
Kyoichi Takaori
Michiyo Higashi
Suguru Yonezawa
Kagoshima University · JPIwate Medical University · JPKyoto University · JPOsaka Medical and Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation of CpG sites in genomic DNA plays an important role in gene regulation and especially in gene silencing. We have reported mechanisms of epigenetic regulation for expression of mucins, which are markers of malignancy potential and early detection of human neoplasms. Epigenetic changes in promoter regions appear to be the first step in expression of mucins. Thus, detection of promoter methylation status is important for early diagnosis of cancer, monitoring of tumor behavior, and evaluating the response of tumors to targeted therapy. However, conventional analytical methods for DNA methylation require a large amount of DNA and have low sensitivity.

methodsHere, we report a modified version of the bisulfite-DGGE (denaturing gradient gel electrophoresis) using a nested PCR approach. We designated this method as methylation specific electrophoresis (MSE). The MSE method is comprised of the following steps: (a) bisulfite treatment of genomic DNA, (b) amplification of the target DNA by a nested PCR approach and (c) applying to DGGE. To examine whether the MSE method is able to analyze DNA methylation of mucin genes in various samples, we apply it to DNA obtained from state cell lines, ethanol-fixed colonic crypts and human pancreatic juices.

resultThe MSE method greatly decreases the amount of input DNA. The lower detection limit for distinguishing different methylation status is < 0.1% and the detectable minimum amount of DNA is 20 pg, which can be obtained from only a few cells. We also show that MSE can be used for analysis of challenging samples such as human isolated colonic crypts or human pancreatic juices, from which only a small amount of DNA can be extracted.

conclusionsThe MSE method can provide a qualitative information of methylated sequence profile. The MSE method allows sensitive and specific analysis of the DNA methylation pattern of almost any block of multiple CpG sites. The MSE method can be applied to analysis of DNA methylation status in many different clinical samples, and this may facilitate identification of new risk markers.

Indexed as

DNA MethylationBreast NeoplasmsCarcinomaCell Line, TumorColonic NeoplasmsCpG IslandsDenaturing Gradient Gel ElectrophoresisEarly Detection of CancerFemaleHumansMaleMucinsNeoplasmsPancreatic NeoplasmsPolymerase Chain ReactionSulfiteshydrogen sulfiteMucinsSulfites

Identifiers

PMID22329852
PMCPMC3311064
OpenAlexW2062001792

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.