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A morphology independent approach for identifying dividing adult neural stem cells in the mouse hippocampus

Overview of attention for article published in Developmental Dynamics, August 2017
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Title
A morphology independent approach for identifying dividing adult neural stem cells in the mouse hippocampus
Published in
Developmental Dynamics, August 2017
DOI 10.1002/dvdy.24545
Pubmed ID
Authors

Lachlan Harris, Oressia Zalucki, Sabrina Oishi, Thomas H. Burne, Dhanisha J. Jhaveri, Michael Piper

Abstract

Background Type 1 adult hippocampal neural stem cells (AH-NSCs) continue to generate neurons throughout life, albeit at a very low rate. The relative quiescence of this population of cells has led to many studies investigating factors that may increase their division. Current methods of identifying dividing AH-NSCs in vivo require the identification and tracing of radial processes back to nuclei within the subgranular zone. However, caveats to this approach include the time-intensive nature of identifying AH-NSCs with such a process, as well as the fact that this approach ignores the relatively more active population of horizontally oriented AH-NSCs that also reside in the subgranular zone. Results Here, we describe, and then verify using Hes5::GFP mice, that labelling for the cell-cycle marker Ki67, and selection against the intermediate progenitor cell marker TBR2 (Ki67(+ve) ; TBR2(-ve) nuclei) is sufficient to identify dividing horizontally- and radially-orientated AH-NSCs in the adult mouse hippocampus. Conclusion These findings provide a simple and accurate way to quantify dividing AH-NSCs in vivo using a morphology independent approach that will facilitate studies into neurogenesis within the hippocampal stem cell niche of the adult brain. This article is protected by copyright. All rights reserved.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 4 19%
Student > Master 3 14%
Professor 1 5%
Other 1 5%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Neuroscience 8 38%
Agricultural and Biological Sciences 4 19%
Immunology and Microbiology 1 5%
Chemistry 1 5%
Design 1 5%
Other 0 0%
Unknown 6 29%
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 28 July 2018.
All research outputs
#18,559,907
of 22,986,950 outputs
Outputs from Developmental Dynamics
#1,757
of 2,031 outputs
Outputs of similar age
#243,197
of 317,607 outputs
Outputs of similar age from Developmental Dynamics
#30
of 33 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,031 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.