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Cited by 500

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Enzymes of Sphingolipid Metabolism: From Modular to Integrative Signaling

Hannun, Yusuf A., Luberto, Chiara, Argraves, Kelley M.·2001·Biochemistry

Abstract

Many enzymes of sphingolipid metabolism are regulated in response to extra- and intracellular stimuli and in turn serve as regulators of levels of bioactive lipids (such as sphingosine, ceramide, sphingosine 1-phosphate, and diacylglycerol), and as such, they serve a prototypical modular function in cell regulation. However, lipid metabolism is also closely interconnected in that a product of one enzyme serves as a substrate for another. Moreover, many cell stimuli regulate more than one of these enzymes, thus adding to the complexity of regulation of lipid metabolism. In this paper, we review the status of enzymes of sphingolipid metabolism in cell regulation and propose a role for these enzymes in integration of cell responses, a role that builds on the modular organization while also taking advantage of the complexity and interconnectedness of lipid metabolism, thus providing for a combinatorial mechanism of generating diversity in cell responses. This may be a general prototype for the involvement of metabolic pathways in cell regulation.

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Metadata

Authors
Hannun, Y. A., Luberto, C., & Argraves, K. M.
Venue
Biochemistry
Published
2001-03-29
Volume
40
Issue
16
Pages
4893-4903
ISSN
  • 0006-2960 (ISSN-L)
  • 1520-4995
OpenAlex
W1996965660
Cited by
500
References
0
FWCI
16.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enzymes of Sphingolipid Metabolism: From Modular to Integrative Signaling. https://app.cochat.ai/papers/10.1021/bi002836k
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Hannun, Y. A., Luberto, C., & Argraves, K. M. (2001). Enzymes of Sphingolipid Metabolism: From Modular to Integrative Signaling. Biochemistry. https://doi.org/10.1021/bi002836k

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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.