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Cited by 432

The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.

CNG AND HCN CHANNELS: Two Peas, One Pod

Craven, Kimberley B., Zagotta, William N.·2006·Annual Review of Physiology

Abstract

▪ Abstract Cyclic nucleotide–activated ion channels play a fundamental role in a variety of physiological processes. By opening in response to intracellular cyclic nucleotides, they translate changes in concentrations of signaling molecules to changes in membrane potential. These channels belong to two families: the cyclic nucleotide–gated (CNG) channels and the hyperpolarization-activated cyclic nucleotide–modulated (HCN) channels. The two families exhibit high sequence similarity and belong to the superfamily of voltage-gated potassium channels. Whereas HCN channels are activated by voltage and CNG channels are virtually voltage independent, both channels are activated by cyclic nucleotide binding. Furthermore, the channels are thought to have similar channel structures, leading to similar mechanisms of activation by cyclic nucleotides. However, although these channels are structurally and behaviorally similar, they have evolved to perform distinct physiological functions. This review describes the physiological roles and biophysical behavior of CNG and HCN channels. We focus on how similarities in structure and activation mechanisms result in common biophysical models, allowing CNG and HCN channels to be viewed as a single genre.

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Metadata

Authors
Craven, K. B., & Zagotta, W. N.
Venue
Annual Review of Physiology
Published
2006-01-01
Volume
68
Issue
1
Pages
375-401
ISSN
  • 0066-4278 (ISSN-L)
  • 1545-1585
OpenAlex
W2154420009
Cited by
432
References
86
FWCI
1.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: CNG AND HCN CHANNELS: Two Peas, One Pod. https://app.cochat.ai/papers/10.1146/annurev.physiol.68.040104.134728
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Craven, K. B., & Zagotta, W. N. (2006). CNG AND HCN CHANNELS: Two Peas, One Pod. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.68.040104.134728

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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.