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Virally mediated gene manipulation in the adult CNS

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2011
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Title
Virally mediated gene manipulation in the adult CNS
Published in
Frontiers in Molecular Neuroscience, January 2011
DOI 10.3389/fnmol.2011.00057
Pubmed ID
Authors

Efrat Edry, Raphael Lamprecht, Shlomo Wagner, Kobi Rosenblum

Abstract

Understanding how the CNS functions poses one of the greatest challenges in modern life science and medicine. Studying the brain is especially challenging because of its complexity, the heterogeneity of its cellular composition, and the substantial changes it undergoes throughout its life-span. The complexity of adult brain neural networks results also from the diversity of properties and functions of neuronal cells, governed, inter alia, by temporally and spatially differential expression of proteins in mammalian brain cell populations. Hence, research into the biology of CNS activity and its implications to human and animal behavior must use novel scientific tools. One source of such tools is the field of molecular genetics-recently utilized more and more frequently in neuroscience research. Transgenic approaches in general, and gene targeting in rodents have become fundamental tools for elucidating gene function in the CNS. Although spectacular progress has been achieved over recent decades by using these approaches, it is important to note that they face a number of restrictions. One of the main challenges is presented by the temporal and spatial regulation of introduced genetic manipulations. Viral vectors provide an alternative approach to temporally regulated, localized delivery of genetic modifications into neurons. In this review we describe available technologies for gene transfer into the adult mammalian CNS that use both viral and non-viral tools. We discuss viral vectors frequently used in neuroscience, with emphasis on lentiviral vector (LV) systems. We consider adverse effects of LVs, and the use of LVs for temporally and spatially controllable manipulations. Especially, we highlight the significance of viral vector-mediated genetic manipulations in studying learning and memory processes, and how they may be effectively used to separate out the various phases of learning: acquisition, consolidation, retrieval, and maintenance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 1 2%
Finland 1 2%
Israel 1 2%
Russia 1 2%
India 1 2%
Unknown 42 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 33%
Researcher 10 20%
Professor > Associate Professor 4 8%
Student > Master 4 8%
Student > Bachelor 2 4%
Other 9 18%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 47%
Neuroscience 7 14%
Medicine and Dentistry 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Psychology 1 2%
Other 2 4%
Unknown 5 10%
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 27 December 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,436
of 2,826 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#25
of 27 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,826 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% 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 180,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.