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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Genome-Wide Kinetics of Nucleosome Turnover Determined by Metabolic Labeling of Histones

Open access
Deal, Roger B., Henikoff, Jorja G., Henikoff, Steven·2010·Science

Abstract

Everything Changes: Nucleosomes package DNA, and their assembly and disassembly regulate access to the genome. The ability to follow these changes is limited to steady-state methods in higher eukaryotes, although direct kinetic analyses are available in yeast. To address this deficiency, Deal et al. (p. 1161 ) developed a general method for following the genome-wide dynamics of nucleosome assembly and disassembly. High levels of nucleosome turnover were observed across gene bodies and at the sites of epigenetic regulatory elements in fruit fly tissue culture cells. Nucleosomes were replaced multiple times during each 20-hour cell cycle, suggesting that histone modifications themselves are unlikely to transmit epigenetic information. Furthermore, analysis of replication origins indicates that they are determined by chromatin dynamics and not by sequence features.

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Crossref · 10.1126/science.1186777

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Metadata

Authors
Deal, R. B., Henikoff, J. G., & Henikoff, S.
Venue
Science
Published
2010-05-28
Volume
328
Issue
5982
Pages
1161-1164
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2031156443
Cited by
471
References
3
FWCI
22.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genome-Wide Kinetics of Nucleosome Turnover Determined by Metabolic Labeling of Histones. https://app.cochat.ai/papers/10.1126/science.1186777
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Deal, R. B., Henikoff, J. G., & Henikoff, S. (2010). Genome-Wide Kinetics of Nucleosome Turnover Determined by Metabolic Labeling of Histones. Science. https://doi.org/10.1126/science.1186777

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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.