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Model Organisms in G Protein–Coupled Receptor Research

Overview of attention for article published in Molecular Pharmacology, May 2015
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Article details
Title
Model Organisms in G Protein–Coupled Receptor Research
Published in
Molecular Pharmacology, May 2015
DOI 10.1124/mol.115.098764
Pubmed ID
Authors
Abstract

The study of G protein-coupled receptors (GPCRs) has benefited greatly from experimental approaches that interrogate their functions in controlled, artificial environments. Working in vitro, GPCR receptorologists discovered the basic biological mechanisms by which GPCRs operate, including their eponymous capacity to couple to G proteins (De Lean et al., 1980), their molecular makeup including the famed serpentine transmembrane unit (Dixon et al., 1986), and ultimately their three-dimensional structure (Palczewski et al., 2000; Rasmussen et al., 2007). While the insights gained from working outside the native environments of GPCRs have allowed for the collection of low noise data, such approaches cannot directly address a receptor's native (in vivo) functions. An in vivo approach can complement the rigor of in vitro approaches: as studied in model organisms, it imposes physiological constraints on receptor action and thus allows investigators to deduce the most salient features of receptor function. Here, we briefly discuss specific examples in which model organisms have successfully contributed to the elucidation of signals controlled through GPCRs and other surface receptor systems. We list recent examples that have served either in the initial discovery of GPCR signaling concepts, or in their fuller definition. Further, we selectively highlight experimental advantages, shortcomings, and tools of each model organism.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Denmark 1 2%
Canada 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Student > Master 10 15%
Professor 8 12%
Researcher 8 12%
Student > Bachelor 4 6%
Other 13 20%
Unknown 9 14%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 29%
Agricultural and Biological Sciences 16 25%
Neuroscience 11 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Medicine and Dentistry 2 3%
Other 5 8%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2020.
All research outputs
#26,470,782
of 31,802,852 outputs
Outputs from Molecular Pharmacology
#4,956
of 5,261 outputs
Outputs of similar age
#227,104
of 295,454 outputs
Outputs of similar age from Molecular Pharmacology
#40
of 44 outputs
Altmetric has tracked 31,802,852 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,261 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.