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Cubic membranes: a legend beyond the Flatland* of cell membrane organization

Open access
Almsherqi, Zakaria A., Kohlwein, Sepp D., Deng, Yuru·2006·The Journal of Cell Biology

Abstract

Cubic membranes represent highly curved, three-dimensional nanoperiodic structures that correspond to mathematically well defined triply periodic minimal surfaces. Although they have been observed in numerous cell types and under different conditions, particularly in stressed, diseased, or virally infected cells, knowledge about the formation and function of nonlamellar, cubic structures in biological systems is scarce, and research so far is restricted to the descriptive level. We show that the “organized smooth endoplasmic reticulum” (OSER; Snapp, E.L., R.S. Hegde, M. Francolini, F. Lombardo, S. Colombo, E. Pedrazzini, N. Borgese, and J. Lippincott-Schwartz. 2003. J. Cell Biol. 163:257–269), which is formed in response to elevated levels of specific membrane-resident proteins, is actually the two-dimensional representation of two subtypes of cubic membrane morphology. Controlled OSER induction may thus provide, for the first time, a valuable tool to study cubic membrane formation and function at the molecular level.

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Metadata

Authors
Almsherqi, Z. A., Kohlwein, S. D., & Deng, Y.
Venue
The Journal of Cell Biology
Published
2006-06-19
Volume
173
Issue
6
Pages
839-844
ISSN
  • 0021-9525 (ISSN-L)
  • 1540-8140
OpenAlex
W1965092619
Cited by
238
References
0
FWCI
3.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cubic membranes: a legend beyond the Flatland* of cell membrane organization. https://app.cochat.ai/papers/10.1083/jcb.200603055
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Almsherqi, Z. A., Kohlwein, S. D., & Deng, Y. (2006). Cubic membranes: a legend beyond the Flatland* of cell membrane organization. The Journal of Cell Biology. https://doi.org/10.1083/jcb.200603055

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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.