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Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes

Overview of attention for article published in Journal of Computational Neuroscience, December 2015
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1 X user
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Citations

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17 Mendeley
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1 CiteULike
Title
Molecular variability elicits a tunable switch with discrete neuromodulatory response phenotypes
Published in
Journal of Computational Neuroscience, December 2015
DOI 10.1007/s10827-015-0584-2
Pubmed ID
Authors

Warren D. Anderson, Hirenkumar K. Makadia, Rajanikanth Vadigepalli

Abstract

Recent single cell studies show extensive molecular variability underlying cellular responses. We evaluated the impact of molecular variability in the expression of cell signaling components and ion channels on electrophysiological excitability and neuromodulation. We employed a computational approach that integrated neuropeptide receptor-mediated signaling with electrophysiology. We simulated a population of neurons in which expression levels of a neuropeptide receptor and multiple ion channels were simultaneously varied within a physiological range. We analyzed the effects of variation on the electrophysiological response to a neuropeptide stimulus. Our results revealed distinct response patterns associated with low versus high receptor levels. Neurons with low receptor levels showed increased excitability and neurons with high receptor levels showed reduced excitability. These response patterns were separated by a narrow receptor level range forming a separatrix. The position of this separatrix was dependent on the expression levels of multiple ion channels. To assess the relative contributions of receptor and ion channel levels to the response profiles, we categorized the responses into six phenotypes based on response kinetics and magnitude. We applied several multivariate statistical approaches and found that receptor and channel expression levels influence the neuromodulation response phenotype through a complex though systematic mapping. Our analyses extended our understanding of how cellular responses to neuromodulation vary as a function of molecular expression. Our study showed that receptor expression and biophysical state interact with distinct relative contributions to neuronal excitability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Bachelor 3 18%
Other 2 12%
Lecturer 1 6%
Researcher 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Neuroscience 4 24%
Biochemistry, Genetics and Molecular Biology 3 18%
Nursing and Health Professions 1 6%
Agricultural and Biological Sciences 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 4 24%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 April 2021.
All research outputs
#6,963,629
of 22,834,308 outputs
Outputs from Journal of Computational Neuroscience
#62
of 307 outputs
Outputs of similar age
#109,695
of 387,568 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 5 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 78% 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 387,568 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.