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Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus

Overview of attention for article published in PLoS Computational Biology, March 2008
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Title
Electrotonic Signals along Intracellular Membranes May Interconnect Dendritic Spines and Nucleus
Published in
PLoS Computational Biology, March 2008
DOI 10.1371/journal.pcbi.1000036
Pubmed ID
Authors

Isaac Shemer, Björn Brinne, Jesper Tegnér, Sten Grillner

Abstract

Synapses on dendritic spines of pyramidal neurons show a remarkable ability to induce phosphorylation of transcription factors at the nuclear level with a short latency, incompatible with a diffusion process from the dendritic spines to the nucleus. To account for these findings, we formulated a novel extension of the classical cable theory by considering the fact that the endoplasmic reticulum (ER) is an effective charge separator, forming an intrinsic compartment that extends from the spine to the nuclear membrane. We use realistic parameters to show that an electrotonic signal may be transmitted along the ER from the dendritic spines to the nucleus. We found that this type of signal transduction can additionally account for the remarkable ability of the cell nucleus to differentiate between depolarizing synaptic signals that originate from the dendritic spines and back-propagating action potentials. This study considers a novel computational role for dendritic spines, and sheds new light on how spines and ER may jointly create an additional level of processing within the single neuron.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 7%
Chile 1 2%
Sweden 1 2%
United Kingdom 1 2%
Canada 1 2%
Japan 1 2%
Unknown 36 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 32%
Student > Ph. D. Student 8 18%
Professor 7 16%
Professor > Associate Professor 5 11%
Student > Master 2 5%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 41%
Neuroscience 7 16%
Medicine and Dentistry 3 7%
Engineering 2 5%
Computer Science 2 5%
Other 5 11%
Unknown 7 16%
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 06 June 2008.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,479
of 8,960 outputs
Outputs of similar age
#81,876
of 95,469 outputs
Outputs of similar age from PLoS Computational Biology
#37
of 44 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 95,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
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.