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Sigma Proteins: Evolution of the Concept of Sigma Receptors

Overview of attention for book
Attention for Chapter 34: Allosteric Modulation of Opioid G-Protein Coupled Receptors by Sigma1 Receptors
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Chapter title
Allosteric Modulation of Opioid G-Protein Coupled Receptors by Sigma1 Receptors
Chapter number 34
Book title
Handbook of Experimental Pharmacology
Published in
Handbook of experimental pharmacology, July 2017
DOI 10.1007/164_2017_34
Pubmed ID
Book ISBNs
978-3-31-965851-3, 978-3-31-965853-7
Authors

Pasternak, Gavril W., Gavril W. Pasternak

Abstract

Since their proposal in 1976, the concept of sigma1 receptors has been continually evolving. Initially thought to be a member of the opioid receptor family, molecular studies have now identified its genes and established its structure crystallographically. Much effort has now revealed its importance as a chaperone in the endoplasmic reticulum, but its functions extend beyond this. Sigma1 receptors have been associated with a host of signaling systems. Evidence over the past 20 years has established the modulatory effects of sigma1 ligands on opioid systems. Despite their inability to bind directly to opioid receptors, sigma1 ligands can modulate opioid analgesia in vivo and signal transduction mechanisms in vitro. Furthermore, sigma1 receptors can physically associate with GPCRs. Together, these findings show that sigma1 ligands can function as allosteric modulators of GPCR function through their association with the sigma1 receptors, which are in direct physical association with opioid receptors, members of the G-protein coupled family of receptors.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Professor 1 11%
Other 1 11%
Unknown 5 56%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 22%
Biochemistry, Genetics and Molecular Biology 1 11%
Neuroscience 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 July 2017.
All research outputs
#14,680,524
of 23,504,791 outputs
Outputs from Handbook of experimental pharmacology
#361
of 652 outputs
Outputs of similar age
#176,833
of 315,128 outputs
Outputs of similar age from Handbook of experimental pharmacology
#2
of 2 outputs
Altmetric has tracked 23,504,791 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 652 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.