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Arrestins - Pharmacology and Therapeutic Potential

Overview of attention for book
Cover of 'Arrestins - Pharmacology and Therapeutic Potential'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Therapeutic Potential of Small Molecules and Engineered Proteins
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    Chapter 2 Arrestin interactions with g protein-coupled receptors.
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    Chapter 3 Quantifying Biased β-Arrestin Signaling
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    Chapter 4 The Physiological Roles of Arrestin-1 in Rod Photoreceptor Cells
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    Chapter 5 Not Just Signal Shutoff: The Protective Role of Arrestin-1 in Rod Cells
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    Chapter 6 Cone Arrestin: Deciphering the Structure and Functions of Arrestin 4 in Vision
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    Chapter 7 Enhanced Phosphorylation-Independent Arrestins and Gene Therapy
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    Chapter 8 Targeting Individual GPCRs with Redesigned Nonvisual Arrestins
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    Chapter 9 β-Arrestins and G Protein-Coupled Receptor Trafficking.
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    Chapter 10 Arrestin interaction with e3 ubiquitin ligases and deubiquitinases: functional and therapeutic implications.
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    Chapter 11 Self-Association of Arrestin Family Members
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    Chapter 12 Arrestin-Dependent Activation of ERK and Src Family Kinases
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    Chapter 13 Arrestin-Dependent Activation of JNK Family Kinases
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    Chapter 14 Arrestin-Mediated Activation of p38 MAPK: Molecular Mechanisms and Behavioral Consequences
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    Chapter 15 Arrestin-dependent localization of phosphodiesterases.
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    Chapter 16 Arrestins in Apoptosis
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    Chapter 17 Molecular Mechanisms Underlying Beta-Arrestin-Dependent Chemotaxis and Actin-Cytoskeletal Reorganization
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    Chapter 18 Arrestins in Host–Pathogen Interactions
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    Chapter 19 Arrestin Regulation of Small GTPases
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    Chapter 20 GPCRs and Arrestins in Airways: Implications for Asthma
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    Chapter 21 Arrestins as Regulatory Hubs in Cancer Signalling Pathways
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    Chapter 22 β-Arrestins: Regulatory Role and Therapeutic Potential in Opioid and Cannabinoid Receptor-Mediated Analgesia.
Attention for Chapter 22: β-Arrestins: Regulatory Role and Therapeutic Potential in Opioid and Cannabinoid Receptor-Mediated Analgesia.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 blogs
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2 X users
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1 Facebook page

Citations

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18 Dimensions

Readers on

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152 Mendeley
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Chapter title
β-Arrestins: Regulatory Role and Therapeutic Potential in Opioid and Cannabinoid Receptor-Mediated Analgesia.
Chapter number 22
Book title
Arrestins - Pharmacology and Therapeutic Potential
Published in
Handbook of experimental pharmacology, January 2014
DOI 10.1007/978-3-642-41199-1_22
Pubmed ID
Book ISBNs
978-3-64-241198-4, 978-3-64-241199-1
Authors

Kirsten M Raehal, Laura M Bohn, Kirsten M. Raehal, Laura M. Bohn, Raehal, Kirsten M., Bohn, Laura M.

Abstract

Pain is a complex disorder with neurochemical and psychological components contributing to the severity, the persistence, and the difficulty in adequately treating the condition. Opioid and cannabinoids are two classes of analgesics that have been used to treat pain for centuries and are arguably the oldest of "pharmacological" interventions used by man. Unfortunately, they also produce several adverse side effects that can complicate pain management. Opioids and cannabinoids act at G protein-coupled receptors (GPCRs), and much of their effects are mediated by the mu-opioid receptor (MOR) and cannabinoid CB1 receptor (CB1R), respectively. These receptors couple to intracellular second messengers and regulatory proteins to impart their biological effects. In this chapter, we review the role of the intracellular regulatory proteins, β-arrestins, in modulating MOR and CB1R and how they influence the analgesic and side-effect profiles of opioid and cannabinoid drugs in vivo. This review of the literature suggests that the development of opioid and cannabinoid agonists that bias MOR and CB1R toward G protein signaling cascades and away from β-arrestin interactions may provide a novel mechanism by which to produce analgesia with less severe adverse effects.

X Demographics

X Demographics

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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 17%
Student > Ph. D. Student 20 13%
Researcher 17 11%
Student > Master 15 10%
Other 10 7%
Other 24 16%
Unknown 40 26%
Readers by discipline Count As %
Medicine and Dentistry 25 16%
Neuroscience 17 11%
Pharmacology, Toxicology and Pharmaceutical Science 16 11%
Biochemistry, Genetics and Molecular Biology 14 9%
Agricultural and Biological Sciences 14 9%
Other 22 14%
Unknown 44 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 August 2021.
All research outputs
#1,973,934
of 24,972,357 outputs
Outputs from Handbook of experimental pharmacology
#68
of 682 outputs
Outputs of similar age
#22,292
of 318,328 outputs
Outputs of similar age from Handbook of experimental pharmacology
#3
of 27 outputs
Altmetric has tracked 24,972,357 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 90% of its peers.
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 318,328 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.