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Visualization of Cortical Projection Neurons with Retrograde TET-Off Lentiviral Vector

Overview of attention for article published in PLOS ONE, October 2012
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Title
Visualization of Cortical Projection Neurons with Retrograde TET-Off Lentiviral Vector
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046157
Pubmed ID
Authors

Akiya Watakabe, Shigeki Kato, Kazuto Kobayashi, Masafumi Takaji, Yuki Nakagami, Osamu Sadakane, Masanari Ohtsuka, Hiroyuki Hioki, Takeshi Kaneko, Hiroyuki Okuno, Takashi Kawashima, Haruhiko Bito, Yoshihiro Kitamura, Tetsuo Yamamori

Abstract

We are interested in identifying and characterizing various projection neurons that constitute the neocortical circuit. For this purpose, we developed a novel lentiviral vector that carries the tetracycline transactivator (tTA) and the transgene under the TET Responsive Element promoter (TRE) on a single backbone. By pseudotyping such a vector with modified rabies G-protein, we were able to express palmitoylated-GFP (palGFP) or turboFP635 (RFP) in corticothalamic, corticocortical, and corticopontine neurons of mice. The high-level expression of the transgene achieved by the TET-Off system enabled us to observe characteristic elaboration of neuronal processes for each cell type. At higher magnification, we were able to observe fine structures such as boutons and spines as well. We also injected our retrograde TET-Off vector to the marmoset cortex and proved that it can be used to label the long-distance cortical connectivity of millimeter scale. In conclusion, our novel retrograde tracer provides an attractive option to investigate the morphologies of identified cortical projection neurons of various species.

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The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
United Kingdom 1 <1%
Germany 1 <1%
France 1 <1%
Russia 1 <1%
Unknown 96 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 31%
Student > Ph. D. Student 17 16%
Student > Master 10 10%
Student > Bachelor 7 7%
Professor > Associate Professor 7 7%
Other 16 15%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 37%
Neuroscience 30 29%
Biochemistry, Genetics and Molecular Biology 6 6%
Medicine and Dentistry 6 6%
Engineering 2 2%
Other 6 6%
Unknown 16 15%