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Cited by 275

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Methylation of Human MicroRNA Genes in Normal and Neoplastic Cells

Open access
Weber, Barbara, Stresemann, Carlo, Brueckner, Bodo, Lyko, Frank·2007·Cell Cycle

Abstract

MicroRNAs (miRNAs) are small RNA molecules that control gene expression by inhibition of protein translation or degradation of cognate target mRNAs. Eventhough strict Even though strict developmental and tissue-specific regulation appears to be critical for miRNA function, very little is known about the mechanisms governing miRNA gene expression. Several recent studies have shown that miRNA genes can regulated DNA methylation and other epigenetic mechanisms. The observation of altered miRNA gene methylation patterns in human cancers also suggested that miRNA gene methylation is functional relevant for tumorigenesis. We have now performed a comprehensive analysis of miRNA genes and found that about half of these genes are associated with CpG islands and thus represent candidate targets of the DNA methylation machinery An expanded analysis of several miRNA-associated CpG islands in five cell lines indicated that miRNA gene methylation is detectable at high frequencies, both in normal and malignant cells. Possible explanations for this phenomenon include the specific structure of miRNA genes and/or their requirement for strict expression regulation.

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Metadata

Authors
Weber, B., Stresemann, C., Brueckner, B., & Lyko, F.
Venue
Cell Cycle
Published
2007-05-02
Volume
6
Issue
9
Pages
1001-1005
ISSN
  • 1538-4101 (ISSN-L)
  • 1551-4005
OpenAlex
W2027650876
Cited by
275
References
0
FWCI
6.82
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Methylation of Human MicroRNA Genes in Normal and Neoplastic Cells. https://app.cochat.ai/papers/10.4161/cc.6.9.4209
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Weber, B., Stresemann, C., Brueckner, B., & Lyko, F. (2007). Methylation of Human MicroRNA Genes in Normal and Neoplastic Cells. Cell Cycle. https://doi.org/10.4161/cc.6.9.4209

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.