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Cited by 26Protein Kinase Regulation and GTPase SignalingLipid Membrane Structure and BehaviorSphingolipid Metabolism and Signaling

Lipid Profiles of RAS Nanoclusters Regulate RAS Function

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Zhou, Yong, Hancock, John F.·2021·Biomolecules
DOI 10.3390/biom11101439PMC PMC8533076
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Abstract

The lipid-anchored RAS (Rat sarcoma) small GTPases (guanosine triphosphate hydrolases) are highly prevalent in human cancer. Traditional strategies of targeting the enzymatic activities of RAS have been shown to be difficult. Alternatively, RAS function and pathology are mostly restricted to nanoclusters on the plasma membrane (PM). Lipids are important structural components of these signaling platforms on the PM. However, how RAS nanoclusters selectively enrich distinct lipids in the PM, how different lipids contribute to RAS signaling and oncogenesis and whether the selective lipid sorting of RAS nanoclusters can be targeted have not been well-understood. Latest advances in quantitative super-resolution imaging and molecular dynamic simulations have allowed detailed characterization RAS/lipid interactions. In this review, we discuss the latest findings on the select lipid composition (with headgroup and acyl chain specificities) within RAS nanoclusters, the specific mechanisms for the select lipid sorting of RAS nanoclusters on the PM and how perturbing lipid compositions within RAS nanoclusters impacts RAS function and pathology. We also describe different strategies of manipulating lipid composition within RAS nanoclusters on the PM.

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  • Changes in membrane cholesterol regulate RAS signalling primarily by modulating its nanoscale organization and effector coupling within the plasma membrane.

    “Accumulating evidence indicates that changes in membrane cholesterol regulate RAS signalling primarily by modulating its nanoscale organization and effector coupling within the plasma membrane 38”

    From Dietary cholesterol activates a Ral-dependent pathway driving LDLR turnover (2026) · cites this paper as [38]

    Section 4.3 (page unavailable) reports that cholesterol levels affect HRAS and NRAS nanoclustering, but that ordinary KRAS nanoclustering is independent of acute cholesterol depletion. Section 1.1 links RAS nanocluster disruption to impaired effector recruitment and signaling. Together, these passages support the proposed mechanism for some RAS forms, but not the claim that cholesterol changes primarily regulate RAS signaling this way in general. (LLM, conf=0.86)

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Authors
Zhou, Y., & Hancock, J. F.
Affiliations
The University of Texas Health Science Center at Houston (US)
Corresponding author
Zhou, Yong
ORCID
Venue
Biomolecules
Publisher
MDPI AG
Published
2021-09-30
Volume
11
Issue
10
Pages
1439
ISSN
2218-273X (ISSN-L)
DOI
10.3390/biom11101439
PMC
PMC8533076
OpenAlex
W3203874650
Cited by
26
References
4
Citations by year
2026: 3 · 2025: 9 · 2024: 4 · 2023: 7 · 2022: 3
FWCI
0.37
Type
journal article
Language
en
Open access
Licence
Locations
  • Biomolecules (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute of General Medical Sciences (R01GM138668, R01GM124233)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sphingolipid Metabolism and Signaling
Keywords
Ras GTPase, plasma membrane lipid composition, lipid sorting, lipid rafts, carcinogenesis, Ras signaling
MeSH terms
Animals, Cell Membrane, Humans, Lipids, Models, Biological, Signal Transduction, ras Proteins, Nanoparticles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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