Evidence map›Paper›PMID 7935456›Full record

ArticleMolecular and cellular biology1994

Comparison of DNA methylation patterns among mouse cell lines by restriction landmark genomic scanning.

J Kawai, K Hirose, S Fushiki, S Hirotsune, N Ozawa, A Hara, Y Hayashizaki, S Watanabe

Abstract readComparative Study
In one paragraph

Article in Molecular and cellular biology, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

12 citing papers in PubMed.

  1. Article
  2. Maternal signals for progeny prevention against allergy and asthma.Cellular and molecular life sciences : CMLS · 2011
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Altered DNA methylation and genome instability: a new pathway to cancer?Proceedings of the National Academy of Sciences of the United States of America · 1997
    Review
  11. Article
  12. 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

8 authors.

J KawaiShionogi Research Laboratories, Shionogi & Co., Ltd., Osaka, Japan.
K Hirose
S Fushiki
S Hirotsune
N Ozawa
A Hara
Y Hayashizaki
S Watanabe

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Restriction landmark genomic scanning (RLGS) is a novel method which enables us to simultaneously visualize a large number of loci as two-dimensional gel spots. By this method, the status of DNA methylation can efficiently be determined by monitoring the appearance or disappearance of spots by using a methylation-sensitive restriction enzyme. In the present study, using RLGS with NotI, we examined, in comparison with a brain RLGS profile, the status of DNA methylation of more than 900 loci among three types of mouse cell lines: the embryonal carcinoma cell line P19, the stable mesenchymal cell line 10T1/2, and our established neuroepithelial (EM) cell lines. We found that the relative numbers of RLGS spots which appeared were less than 3.3% of those surveyed in all cell lines examined. However, 5 to 14% of spots disappeared, the numbers increasing with an increase in the length of the culture period, and many spots were commonly lost in 10T1/2 and in three EM cell lines. Thus, for these cell lines, many more spots disappeared than appeared. However, the numbers of spots disappearing and appearing were well balanced, and the ratio in P19 cells was almost equal to that in liver cells in vivo. These RLGS experimental observations suggested that permanent cell lines such as 10T1/2 are hypermethylated and that our newly established EM cell lines are also becoming heavily methylated at common loci. On the other hand, methylation and demethylation seem to be balanced in P19 cells in a manner similar to that in in vivo liver tissue.

Indexed as

Genetic TechniquesAneuploidyAnimalsBase SequenceCell LineDeoxyribonucleases, Type II Site-SpecificDNADNA PrimersGenomeMethylationMiceMolecular Sequence DataRNA, MessengerDeoxyribonucleases, Type II Site-SpecificDNADNA PrimersGCGGCCGC-specific type II deoxyribonucleasesRNA, Messenger

Identifiers

PMID7935456
PMCPMC359277

What OpenQuestion holds

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Registered trials

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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.