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Cited by 357

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Spatiotemporal Control of Acetyl-CoA Metabolism in Chromatin Regulation

Open access
Sivanand, Sharanya, Viney, Isabella, Wellen, Kathryn E.·2018·Trends in Biochemical Sciences

Abstract

The epigenome is sensitive to the availability of metabolites that serve as substrates of chromatin-modifying enzymes. Links between acetyl-CoA metabolism, histone acetylation, and gene regulation have been documented, although how specificity in gene regulation is achieved by a metabolite has been challenging to answer. Recent studies suggest that acetyl-CoA metabolism is tightly regulated both spatially and temporally, to elicit responses to nutrient availability and signaling cues. Here we discuss evidence that acetyl-CoA production is distinctly regulated in the nucleus and cytosol in mammalian cells. Recent findings indicate that acetyl-CoA availability for site-specific histone acetylation is influenced through post-translational modification of acetyl-CoA producing enzymes, as well as through dynamic regulation of the nuclear localization and chromatin recruitment of these enzymes.

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Crossref · 10.1016/j.tibs.2017.11.004

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Metadata

Authors
Sivanand, S., Viney, I., & Wellen, K. E.
Venue
Trends in Biochemical Sciences
Publisher
Elsevier BV
Published
2018-01
Volume
43
Issue
1
Pages
61-74
ISSN
0968-0004 (ISSN-L)
OpenAlex
W2770715322
Cited by
357
References
93
FWCI
1.87
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Spatiotemporal Control of Acetyl-CoA Metabolism in Chromatin Regulation. https://app.cochat.ai/papers/10.1016/j.tibs.2017.11.004
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Sivanand, S., Viney, I., & Wellen, K. E. (2018). Spatiotemporal Control of Acetyl-CoA Metabolism in Chromatin Regulation. Trends in Biochemical Sciences. https://doi.org/10.1016/j.tibs.2017.11.004

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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.