The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
G Proteins and Phototransduction
Abstract
▪ Abstract Phototransduction is the process by which a photon of light captured by a molecule of visual pigment generates an electrical response in a photoreceptor cell. Vertebrate rod phototransduction is one of the best-studied G protein signaling pathways. In this pathway the photoreceptor-specific G protein, transducin, mediates between the visual pigment, rhodopsin, and the effector enzyme, cGMP phosphodiesterase. This review focuses on two quantitative features of G protein signaling in phototransduction: signal amplification and response timing. We examine how the interplay between the mechanisms that contribute to amplification and those that govern termination of G protein activity determine the speed and the sensitivity of the cellular response to light.
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Citations
Cites
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Cited by
G Protein–Coupled Receptor Rhodopsin
Palczewski, K. (2006) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.75.103004.142743 · Cited by 764
Rpe65 is the retinoid isomerase in bovine retinal pigment epithelium
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Melanopsin: an exciting photopigment
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Diseases Caused by Defects in the Visual Cycle: Retinoids as Potential Therapeutic Agents
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Chemistry of the Retinoid (Visual) Cycle
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Metadata
- Authors
- Arshavsky, V. Y., Lamb, T. D., & Pugh, E. N.
- Venue
- Annual Review of Physiology
- Publisher
- Annual Reviews
- Published
- 2002-03
- Volume
- 64
- Issue
- 1
- Pages
- 153-187
- ISSN
- 0066-4278 (ISSN-L)
- 1545-1585
- OpenAlex
- W2111993777
- Cited by
- 648
- References
- 102
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- Arshavsky, V. Y., Lamb, T. D., & Pugh, E. N. (2002). G Proteins and Phototransduction. Annual Review of Physiology. https://doi.org/10.1146/annurev.physiol.64.082701.102229
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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.