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Biochemistry and Physiology of Cyclic Nucleotide Phosphodiesterases: Essential Components in Cyclic Nucleotide Signaling

Conti, Marco, Beavo, Joseph·2007·Annual Review of Biochemistry

Abstract

Although cyclic nucleotide phosphodiesterases (PDEs) were described soon after the discovery of cAMP, their complexity and functions in signaling is only recently beginning to become fully realized. We now know that at least 100 different PDE proteins degrade cAMP and cGMP in eukaryotes. A complex PDE gene organization and a large number of PDE splicing variants serve to fine-tune cyclic nucleotide signals and contribute to specificity in signaling. Here we review some of the major concepts related to our understanding of PDE function and regulation including: (a) the structure of catalytic and regulatory domains and arrangement in holoenzymes; (b) PDE integration into signaling complexes; (c) the nature and function of negative and positive feedback circuits that have been conserved in PDEs from prokaryotes to human; (d) the emerging association of mutant PDE alleles with inherited diseases; and (e) the role of PDEs in generating subcellular signaling compartments.

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Crossref · 10.1146/annurev.biochem.76.060305.150444

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Metadata

Authors
Conti, M., & Beavo, J.
Venue
Annual Review of Biochemistry
Published
2007-06-07
Volume
76
Issue
1
Pages
481-511
ISSN
  • 0066-4154 (ISSN-L)
  • 1545-4509
OpenAlex
W2104479866
Cited by
1,183
References
12
FWCI
3.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biochemistry and Physiology of Cyclic Nucleotide Phosphodiesterases: Essential Components in Cyclic Nucleotide Signaling. https://app.cochat.ai/papers/10.1146/annurev.biochem.76.060305.150444
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Conti, M., & Beavo, J. (2007). Biochemistry and Physiology of Cyclic Nucleotide Phosphodiesterases: Essential Components in Cyclic Nucleotide Signaling. Annual Review of Biochemistry. https://doi.org/10.1146/annurev.biochem.76.060305.150444

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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.