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Phosphotransfer networks and cellular energetics

Open access
Dzeja, Petras P., Terzic, Andre·2003·Journal of Experimental Biology

Abstract

SUMMARY: Precise coupling of spatially separated intracellular ATP-producing and ATP-consuming processes is fundamental to the bioenergetics of living organisms, ensuring a fail-safe operation of the energetic system over a broad range of cellular functional activities. Here, we provide an overview of the role of spatially arranged enzymatic networks, catalyzed by creatine kinase,adenylate kinase, carbonic anhydrase and glycolytic enzymes, in efficient high-energy phosphoryl transfer and signal communication in the cell. Studies of transgenic creatine kinase and adenylate kinase deficient mice, along with pharmacological targeting of individual enzymes, have revealed the importance of near-equilibrium reactions in the dissipation of metabolite gradients and communication of energetic signals to distinct intracellular compartments,including the cell nucleus and membrane metabolic sensors. Enzymatic capacities, isoform distribution and the dynamics of net phosphoryl flux through the integrated phosphotransfer systems tightly correlate with cellular functions, indicating a critical role of such networks in efficient energy transfer and distribution, thereby securing the cellular economy and energetic homeostasis under stress.

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Metadata

Authors
Dzeja, P. P., & Terzic, A.
Venue
Journal of Experimental Biology
Published
2003-06-15
Volume
206
Issue
12
Pages
2039-2047
ISSN
  • 0022-0949 (ISSN-L)
  • 1477-9145
OpenAlex
W2150994390
Cited by
471
References
2
FWCI
7.29
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Phosphotransfer networks and cellular energetics. https://app.cochat.ai/papers/10.1242/jeb.00426
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Dzeja, P. P., & Terzic, A. (2003). Phosphotransfer networks and cellular energetics. Journal of Experimental Biology. https://doi.org/10.1242/jeb.00426

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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.