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Functional imaging in the zebrafish retinotectal system using RGECO

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Functional imaging in the zebrafish retinotectal system using RGECO
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00034
Pubmed ID
Authors

Alison S. Walker, Juan Burrone, Martin P. Meyer

Abstract

Genetically encoded calcium indicators (GECIs) allow repeated, non-invasive measurements of neural activity in defined populations of neurons, but until recently GECIs based on single fluorescent proteins have been limited to the green region of the color spectrum. Recent efforts in protein engineering have expanded the color palette of GECIs. One of these new GECIs, the red RGECO, is spectrally separate from the traditional GFP-based sensors such as GCaMP, and therefore opens the way for simultaneous, multicolor imaging of neural activity. While RGECO has been shown to report spontaneous calcium fluctuations in neurons, the precise relationship of RGECO signal to evoked-neural activity is not known. Measurements of neural activity using RGECO in vivo have also not been reported. Using dissociated hippocampal neurons we performed a systematic analysis of two forms of RGECO- a cytosolic form and a presynaptically localized form generated by fusion of RGECO to the presynaptic protein, synaptophysin (SyRGECO). We find that RGECO and GCaMP3 are comparable in terms of dynamic range, signal-to-noise ratios and kinetics but that RGECO is a more reliable reporter of single action potentials. In terms of performance SyGCaMP3 and SyRGECO are comparable, and both are more sensitive reporters of activity than the cytosolic form of each probe. Using the zebrafish retinotectal system we show that SyRGECO and RGECO are can report neural activity in vivo and that RGECO expression permits detailed structural analysis of neuronal arbors. We have exploited these attributes to provide a morphological and functional description of tectal cells selective for motion along the vertical axis. These results open up the possibility of using zebrafish to functionally image genetically defined pre- and postsynaptic circuit components, separable by color, which will be a powerful approach to studying neural interactions in the brain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 3 2%
United Kingdom 2 1%
China 2 1%
Japan 2 1%
Chile 1 <1%
Russia 1 <1%
Unknown 134 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 30%
Researcher 39 26%
Student > Master 12 8%
Student > Bachelor 9 6%
Professor > Associate Professor 7 5%
Other 17 11%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 42%
Neuroscience 30 20%
Biochemistry, Genetics and Molecular Biology 16 11%
Medicine and Dentistry 5 3%
Engineering 3 2%
Other 10 7%
Unknown 22 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 April 2013.
All research outputs
#13,304,974
of 22,699,621 outputs
Outputs from Frontiers in Neural Circuits
#571
of 1,209 outputs
Outputs of similar age
#157,484
of 280,695 outputs
Outputs of similar age from Frontiers in Neural Circuits
#62
of 173 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has gotten more attention than average, scoring higher than 52% 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 280,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.