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A method for the three-dimensional reconstruction of Neurobiotin™-filled neurons and the location of their synaptic inputs

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
A method for the three-dimensional reconstruction of Neurobiotin™-filled neurons and the location of their synaptic inputs
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00153
Pubmed ID
Authors

Matthew J. Fogarty, Luke A. Hammond, Refik Kanjhan, Mark C. Bellingham, Peter G. Noakes

Abstract

Here, we describe a robust method for mapping the number and type of neuro-chemically distinct synaptic inputs that a single reconstructed neuron receives. We have used individual hypoglossal motor neurons filled with Neurobiotin by semi-loose seal electroporation in thick brainstem slices. These filled motor neurons were then processed for excitatory and inhibitory synaptic inputs, using immunohistochemical-labeling procedures. For excitatory synapses, we used anti-VGLUT2 to locate glutamatergic pre-synaptic terminals and anti-PSD-95 to locate post-synaptic specializations on and within the surface of these filled motor neurons. For inhibitory synapses, we used anti-VGAT to locate GABAergic pre-synaptic terminals and anti-GABA-A receptor subunit α1 to locate the post-synaptic domain. The Neurobiotin-filled and immuno-labeled motor neuron was then processed for optical sectioning using confocal microscopy. The morphology of the motor neuron including its dendritic tree and the distribution of excitatory and inhibitory synapses were then determined by three-dimensional reconstruction using IMARIS software (Bitplane). Using surface rendering, fluorescence thresholding, and masking of unwanted immuno-labeling, tools found in IMARIS, we were able to obtain an accurate 3D structure of an individual neuron including the number and location of its glutamatergic and GABAergic synaptic inputs. The power of this method allows for a rapid morphological confirmation of the post-synaptic responses recorded by patch-clamp prior to Neurobiotin filling. Finally, we show that this method can be adapted to super-resolution microscopy techniques, which will enhance its applicability to the study of neural circuits at the level of synapses.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United Kingdom 2 2%
Australia 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 122 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 31%
Researcher 27 21%
Student > Master 13 10%
Student > Bachelor 10 8%
Other 7 5%
Other 20 15%
Unknown 13 10%
Readers by discipline Count As %
Neuroscience 53 41%
Agricultural and Biological Sciences 41 32%
Biochemistry, Genetics and Molecular Biology 12 9%
Medicine and Dentistry 4 3%
Physics and Astronomy 2 2%
Other 5 4%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 October 2013.
All research outputs
#14,620,543
of 23,511,526 outputs
Outputs from Frontiers in Neural Circuits
#661
of 1,238 outputs
Outputs of similar age
#170,767
of 284,643 outputs
Outputs of similar age from Frontiers in Neural Circuits
#75
of 173 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,238 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 46th percentile – i.e., 46% 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 284,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 57% of its contemporaries.