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The Use of DREADDs to Deconstruct Behavior

Overview of attention for article published in Frontiers in Genetics, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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23 X users
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Title
The Use of DREADDs to Deconstruct Behavior
Published in
Frontiers in Genetics, May 2016
DOI 10.3389/fgene.2016.00070
Pubmed ID
Authors

Paul D. Whissell, Sarasa Tohyama, Loren J. Martin

Abstract

A central goal in understanding brain function is to link specific cell populations to behavioral outputs. In recent years, the selective targeting of specific neural circuits has been made possible with the development of new experimental approaches, including chemogenetics. This technique allows for the control of molecularly defined subsets of cells through engineered G protein-coupled receptors (GPCRs), which have the ability to activate or silence neuronal firing. Through chemogenetics, neural circuits are being linked to behavioral outputs at an unprecedented rate. Further, the coupling of chemogenetics with imaging techniques to monitor neural activity in freely moving animals now makes it possible to deconstruct the complex whole-brain networks that are fundamental to behavioral states. In this review, we highlight a specific chemogenetic application known as DREADDs (designer receptors exclusively activated by designer drugs). DREADDs are used ubiquitously to modulate GPCR activity in vivo and have been widely applied in the basic sciences, particularly in the field of behavioral neuroscience. Here, we focus on the impact and utility of DREADD technology in dissecting the neural circuitry of various behaviors including memory, cognition, reward, feeding, anxiety and pain. By using DREADDs to monitor the electrophysiological, biochemical, and behavioral outputs of specific neuronal types, researchers can better understand the links between brain activity and behavior. Additionally, DREADDs are useful in studying the pathogenesis of disease and may ultimately have therapeutic potential.

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X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 570 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Spain 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 566 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 24%
Student > Bachelor 82 14%
Researcher 74 13%
Student > Master 72 13%
Student > Doctoral Student 39 7%
Other 67 12%
Unknown 98 17%
Readers by discipline Count As %
Neuroscience 221 39%
Agricultural and Biological Sciences 93 16%
Psychology 35 6%
Medicine and Dentistry 34 6%
Biochemistry, Genetics and Molecular Biology 29 5%
Other 47 8%
Unknown 111 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 21 April 2024.
All research outputs
#2,530,196
of 26,250,639 outputs
Outputs from Frontiers in Genetics
#582
of 13,881 outputs
Outputs of similar age
#41,056
of 344,724 outputs
Outputs of similar age from Frontiers in Genetics
#5
of 75 outputs
Altmetric has tracked 26,250,639 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,881 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 344,724 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 75 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 93% of its contemporaries.