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Cited by 437

The DOI matches its Crossref record; 175 of the 175 references it cites were found in a registry or an index.

Liquid–liquid phase separation drives cellular function and dysfunction in cancer

Open access
Mehta, Sohum, Zhang, Jin·2022·Nature Reviews Cancer

Abstract

Cancer is a disease of uncontrollably reproducing cells. It is governed by biochemical pathways that have escaped the regulatory bounds of normal homeostatic balance. This balance is maintained through precise spatiotemporal regulation of these pathways. The formation of biomolecular condensates via liquid–liquid phase separation (LLPS) has recently emerged as a widespread mechanism underlying the spatiotemporal coordination of biological activities in cells. Biomolecular condensates are widely observed to directly regulate key cellular processes involved in cancer cell pathology, and the dysregulation of LLPS is increasingly implicated as a previously hidden driver of oncogenic activity. In this Perspective, we discuss how LLPS shapes the biochemical landscape of cancer cells. Liquid–liquid phase separation (LLPS) has been revealed as a widespread mechanism underlying the spatiotemporal coordination of biological activities in cells. This Perspective discusses how LLPS shapes the biochemical landscape of cancer cells, providing insight into emerging findings of dysregulated LLPS promoting cancer pathology.

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Metadata

Authors
Mehta, S., & Zhang, J.
Venue
Nature Reviews Cancer
Published
2022-02-11
Volume
22
Issue
4
Pages
239-252
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W4212769969
Cited by
437
References
175
FWCI
7.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Liquid–liquid phase separation drives cellular function and dysfunction in cancer. https://app.cochat.ai/papers/10.1038/s41568-022-00444-7
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Mehta, S., & Zhang, J. (2022). Liquid–liquid phase separation drives cellular function and dysfunction in cancer. Nature Reviews Cancer. https://doi.org/10.1038/s41568-022-00444-7

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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.