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Gene Targeting Using Homologous Recombination in Embryonic Stem Cells: The Future for Behavior Genetics?

Overview of attention for article published in Frontiers in Genetics, April 2016
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Title
Gene Targeting Using Homologous Recombination in Embryonic Stem Cells: The Future for Behavior Genetics?
Published in
Frontiers in Genetics, April 2016
DOI 10.3389/fgene.2016.00043
Pubmed ID
Authors

Robert Gerlai

Abstract

Gene targeting with homologous recombination in embryonic stem cells created a revolution in the analysis of the function of genes in behavioral brain research. The technology allowed unprecedented precision with which one could manipulate genes and study the effect of this manipulation on the central nervous system. With gene targeting, the uncertainty inherent in psychopharmacology regarding whether a particular compound would act only through a specific target was removed. Thus, gene targeting became highly popular. However, with this popularity came the realization that like other methods, gene targeting also suffered from some technical and principal problems. For example, two decades ago, issues about compensatory changes and about genetic linkage were raised. Since then, the technology developed, and its utility has been better delineated. This review will discuss the pros and cons of the technique along with these advancements from the perspective of the neuroscientist user. It will also compare and contrast methods that may represent novel alternatives to the homologous recombination based gene targeting approach, including the TALEN and the CRISPR/Cas9 systems. The goal of the review is not to provide detailed recipes, but to attempt to present a short summary of these approaches a behavioral geneticist or neuroscientist may consider for the analysis of brain function and behavior.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 16%
Student > Doctoral Student 19 15%
Researcher 17 14%
Student > Ph. D. Student 13 11%
Student > Master 13 11%
Other 14 11%
Unknown 27 22%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Biochemistry, Genetics and Molecular Biology 20 16%
Agricultural and Biological Sciences 16 13%
Neuroscience 9 7%
Immunology and Microbiology 8 7%
Other 12 10%
Unknown 33 27%
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 11 April 2016.
All research outputs
#21,830,696
of 24,357,902 outputs
Outputs from Frontiers in Genetics
#9,310
of 13,110 outputs
Outputs of similar age
#263,506
of 305,606 outputs
Outputs of similar age from Frontiers in Genetics
#61
of 65 outputs
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So far Altmetric has tracked 13,110 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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