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Dissecting neuron-specific functions of circadian genes using modified cell-specific CRISPR approaches

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, July 2023
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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Article details
Title
Dissecting neuron-specific functions of circadian genes using modified cell-specific CRISPR approaches
Published in
Proceedings of the National Academy of Sciences of the United States of America, July 2023
DOI 10.1073/pnas.2303779120
Pubmed ID
Authors
Abstract

Circadian behavioral rhythms in Drosophila melanogaster are regulated by about 75 pairs of brain neurons. They all express the core clock genes but have distinct functions and gene expression profiles. To understand the importance of these distinct molecular programs, neuron-specific gene manipulations are essential. Although RNAi based methods are standard to manipulate gene expression in a cell-specific manner, they are often ineffective, especially in assays involving smaller numbers of neurons or weaker Gal4 drivers. We and others recently exploited a neuron-specific CRISPR-based method to mutagenize genes within circadian neurons. Here, we further explore this approach to mutagenize three well-studied clock genes: the transcription factor gene vrille, the photoreceptor gene Cryptochrome (cry), and the neuropeptide gene Pdf (pigment dispersing factor). The CRISPR-based strategy not only reproduced their known phenotypes but also assigned cry function for different light-mediated phenotypes to discrete, different subsets of clock neurons. We further tested two recently published methods for temporal regulation in adult neurons, inducible Cas9 and the auxin-inducible gene expression system. The results were not identical, but both approaches successfully showed that the adult-specific knockout of the neuropeptide Pdf reproduces the canonical loss-of-function mutant phenotypes. In summary, a CRISPR-based strategy is a highly effective, reliable, and general method to temporally manipulate gene function in specific adult neurons.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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

Geographical breakdown
Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 4 25%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Unknown 8 50%
Readers by discipline
Readers by discipline Count As %
Neuroscience 3 19%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 1 6%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 December 2023.
All research outputs
#11,908,301
of 34,387,656 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#82,582
of 118,953 outputs
Outputs of similar age
#139,003
of 397,878 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#575
of 773 outputs
Altmetric has tracked 34,387,656 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 118,953 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 29th percentile – i.e., 29% 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 397,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 773 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.