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A zinc-finger fusion protein refines Gal4-defined neural circuits

Overview of attention for article published in Molecular Brain, August 2018
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Title
A zinc-finger fusion protein refines Gal4-defined neural circuits
Published in
Molecular Brain, August 2018
DOI 10.1186/s13041-018-0390-7
Pubmed ID
Authors

Shamprasad Varija Raghu, Farhan Mohammad, Jia Yi Chua, Joanne Shi Woon Lam, Mavis Loberas, Sadhna Sahani, Claudia S. Barros, Adam Claridge-Chang

Abstract

The analysis of behavior requires that the underlying neuronal circuits are identified and genetically isolated. In several major model species-most notably Drosophila-neurogeneticists identify and isolate neural circuits with a binary heterologous expression-control system: Gal4-UASG. One limitation of Gal4-UASG is that expression patterns are often too broad to map circuits precisely. To help refine the range of Gal4 lines, we developed an intersectional genetic AND operator. Interoperable with Gal4, the new system's key component is a fusion protein in which the DNA-binding domain of Gal4 has been replaced with a zinc finger domain with a different DNA-binding specificity. In combination with its cognate binding site (UASZ) the zinc-finger-replaced Gal4 ('Zal1') was functional as a standalone transcription factor. Zal1 transgenes also refined Gal4 expression ranges when combined with UASGZ, a hybrid upstream activation sequence. In this way, combining Gal4 and Zal1 drivers captured restricted cell sets compared with single drivers and improved genetic fidelity. This intersectional genetic AND operation presumably derives from the action of a heterodimeric transcription factor: Gal4-Zal1. Configurations of Zal1-UASZ and Zal1-Gal4-UASGZ are versatile tools for defining, refining, and manipulating targeted neural expression patterns with precision.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Student > Ph. D. Student 5 31%
Student > Master 1 6%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Neuroscience 5 31%
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 2 13%
Chemistry 2 13%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 1 6%

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 October 2018.
All research outputs
#8,651,805
of 13,804,624 outputs
Outputs from Molecular Brain
#362
of 637 outputs
Outputs of similar age
#162,217
of 271,032 outputs
Outputs of similar age from Molecular Brain
#1
of 1 outputs
Altmetric has tracked 13,804,624 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 637 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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