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Intersectional Strategies for Targeting Amacrine and Ganglion Cell Types in the Mouse Retina

Overview of attention for article published in Frontiers in Neural Circuits, August 2018
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Title
Intersectional Strategies for Targeting Amacrine and Ganglion Cell Types in the Mouse Retina
Published in
Frontiers in Neural Circuits, August 2018
DOI 10.3389/fncir.2018.00066
Pubmed ID
Authors

Andrew Jo, Jian Xu, Sercan Deniz, Suraj Cherian, Steven H. DeVries, Yongling Zhu

Abstract

The mammalian retina harbors over 100 different cell types. To understand how retinal circuits work, it is essential to systematically access each type. A widely used approach for achieving targeted transgene expression exploits promoter-driven Cre lines. However, Cre expression in a given transgenic line in the retina and elsewhere in the brain is rarely confined to a single cell type, contributing ambiguity to the interpretation of results from broadly applied manipulations. To obtain unambiguous information about retinal processing, it is desirable to have strategies for further restricting transgene expression to a few or even to a single cell type. We employed an intersectional strategy based on a Cre/Flp double recombinase system to target amacrine and ganglion cell types in the inner retina. We analyzed expression patterns in seven Flp drivers and then created combinational mouse lines by selective cross breeding with Cre drivers. Breeding with Flp drivers can routinely remove labeling from more than 90% of the cells in Cre drivers, leading to only a handful cell types, typically 2-3, remaining in the intersection. Cre/Flp combinatorial mouse lines enabled us to identify and anatomically characterize retinal cell types with greater ease and demonstrated the feasibility of intersectional strategies in retinal research. In addition to the retina, we examined Flp expression in the lateral geniculate nucleus and superior colliculus. Our results establish a foundation for future application of intersectional strategies in the retina and retino-recipient regions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 6 15%
Student > Bachelor 6 15%
Student > Postgraduate 3 8%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 9 23%
Readers by discipline Count As %
Neuroscience 12 31%
Agricultural and Biological Sciences 8 21%
Biochemistry, Genetics and Molecular Biology 7 18%
Unspecified 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 10 26%
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 02 September 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from Frontiers in Neural Circuits
#1,035
of 1,222 outputs
Outputs of similar age
#291,148
of 334,082 outputs
Outputs of similar age from Frontiers in Neural Circuits
#25
of 28 outputs
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