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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Expert Reviews in Mo...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Expert Reviews in Molecular Medicine
Article . 2010 . Peer-reviewed
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DNA methylation profiling in cancer

Authors: Jean Pierre J. Issa; Yutaka Kondo;

DNA methylation profiling in cancer

Abstract

Aberrant DNA methylation in the genome is found in almost all types of cancer and contributes to malignant transformation by silencing multiple tumour-suppressor genes, sometimes simultaneously. Therefore, deciphering the signature of DNA methylation in each tumour is required to better understand tumour behaviour and might be of benefit for clinical diagnostics and therapy. Recent technologies for high-throughput genome-wide DNA methylation analyses are promising and potent tools for epigenetic profiling. Since epigenetic therapy is now in clinical use or trials for several types of cancers, efficient epigenetic profiling is required. In this review, the current key technologies available to assess genome-wide DNA methylation are introduced and the implications of DNA methylation profiling in human cancers are discussed.

Related Organizations
Keywords

Neoplasms, Humans, CpG Islands, DNA Methylation

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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