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Cited by 227

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Topology, structures, and energy landscapes of human chromosomes

Open access
Zhang, Bin, Wolynes, Peter G.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Various cell types emerge from their nearly identical genetic content for a multicellular organism, in part, via the regulation of the function of the genome—the DNA molecules inside the cell. Similar to the way catalytic activity is lost when proteins denature, the function of the genome is tightly coupled to its 3D organization. A theoretical framework for picturing the structure and dynamics of the genome will therefore greatly advance our understanding of cell biology. We present an energy landscape model of the chromosome that reproduces a diverse set of experimental measurements. The model enables quantitative predictions of chromosome structure and topology and provides mechanistic insight into the role of 3D genome organization in gene regulation and cell differentiation.

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Crossref · 10.1073/pnas.1506257112

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Metadata

Authors
Zhang, B., & Wolynes, P. G.
Venue
Proceedings of the National Academy of Sciences
Published
2015-04-27
Volume
112
Issue
19
Pages
6062-6067
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2084861373
Cited by
227
References
7
FWCI
7.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Topology, structures, and energy landscapes of human chromosomes. https://app.cochat.ai/papers/10.1073/pnas.1506257112
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Zhang, B., & Wolynes, P. G. (2015). Topology, structures, and energy landscapes of human chromosomes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1506257112

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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.