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Cited by 447

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

NNMT promotes epigenetic remodeling in cancer by creating a metabolic methylation sink

Open access
Ulanovskaya, Olesya A, Zuhl, Andrea M, Cravatt, Benjamin F·2013·Nature Chemical Biology

Abstract

Nicotinamide N-methyltransferase (NNMT) is overexpressed in a variety of human cancers, where it contributes to tumorigenesis by a still poorly understood mechanism. Here, we show using metabolomics that NNMT impairs the methylation potential of cancer cells by consuming methyl units from S-adenosyl methionine to create the stable metabolic product 1-methylnicotinamide. As a result, NNMT-expressing cancer cells possess an altered epigenetic state that includes hypomethylated histones and other cancer-related proteins combined with heightened expression of pro-tumorigenic gene products. Our findings thus point to a direct mechanistic link between the deregulation of a metabolic enzyme and widespread changes in the methylation landscape of cancer cells.

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Crossref · 10.1038/nchembio.1204

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Metadata

Authors
Ulanovskaya, O. A., Zuhl, A. M., & Cravatt, B. F.
Venue
Nature Chemical Biology
Published
2013-03-03
Volume
9
Issue
5
Pages
300-306
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2101045506
Cited by
447
References
54
FWCI
7.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: NNMT promotes epigenetic remodeling in cancer by creating a metabolic methylation sink. https://app.cochat.ai/papers/10.1038/nchembio.1204
The paper
Ulanovskaya, O. A., Zuhl, A. M., & Cravatt, B. F. (2013). NNMT promotes epigenetic remodeling in cancer by creating a metabolic methylation sink. Nature Chemical Biology. https://doi.org/10.1038/nchembio.1204

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.