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Cited by 351

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Lipids Reprogram Metabolism to Become a Major Carbon Source for Histone Acetylation

Open access
McDonnell, Eoin, Crown, Scott B., Fox, Douglas B., Kitir, Betül, Ilkayeva, Olga R., Olsen, Christian A., Grimsrud, Paul A., Hirschey, Matthew D.·2016·Cell Reports

Abstract

Cells integrate nutrient sensing and metabolism to coordinate proper cellular responses to a particular nutrient source. For example, glucose drives a gene expression program characterized by activating genes involved in its metabolism, in part by increasing glucose-derived histone acetylation. Here, we find that lipid-derived acetyl-CoA is a major source of carbon for histone acetylation. Using 13 C-carbon tracing combined with acetyl-proteomics, we show that up to 90% of acetylation on certain histone lysines can be derived from fatty acid carbon, even in the presence of excess glucose. By repressing both glucose and glutamine metabolism, fatty acid oxidation reprograms cellular metabolism, leading to increased lipid-derived acetyl-CoA. Gene expression profiling of octanoate-treated hepatocytes shows a pattern of upregulated lipid metabolic genes, demonstrating a specific transcriptional response to lipid. These studies expand the landscape of nutrient sensing and uncover how lipids and metabolism are integrated by epigenetic events that control gene expression.

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Crossref · 10.1016/j.celrep.2016.10.012

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Metadata

Authors
McDonnell, E., Crown, S. B., Fox, D. B., Kitir, B., Ilkayeva, O. R., Olsen, C. A., Grimsrud, P. A., & Hirschey, M. D.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2016-11
Volume
17
Issue
6
Pages
1463-1472
ISSN
2211-1247 (ISSN-L)
OpenAlex
W2547714582
Cited by
351
References
4
FWCI
11.77
Type
journal article
Language
en
Open access
gold

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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.