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High-Content Chemical and RNAi Screens for Suppressors of Neurotoxicity in a Huntington's Disease Model

Overview of attention for article published in PLOS ONE, August 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
6 patents

Readers on

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101 Mendeley
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Article details
Title
High-Content Chemical and RNAi Screens for Suppressors of Neurotoxicity in a Huntington's Disease Model
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0023841
Pubmed ID
Authors
Abstract

To identify Huntington's Disease therapeutics, we conducted high-content small molecule and RNAi suppressor screens using a Drosophila primary neural culture Huntingtin model. Drosophila primary neurons offer a sensitive readout for neurotoxicty, as their neurites develop dysmorphic features in the presence of mutant polyglutamine-expanded Huntingtin compared to nonpathogenic Huntingtin. By tracking the subcellular distribution of mRFP-tagged pathogenic Huntingtin and assaying neurite branch morphology via live-imaging, we identified suppressors that could reduce Huntingtin aggregation and/or prevent the formation of dystrophic neurites. The custom algorithms we used to quantify neurite morphologies in complex cultures provide a useful tool for future high-content screening approaches focused on neurodegenerative disease models. Compounds previously found to be effective aggregation inhibitors in mammalian systems were also effective in Drosophila primary cultures, suggesting translational capacity between these models. However, we did not observe a direct correlation between the ability of a compound or gene knockdown to suppress aggregate formation and its ability to rescue dysmorphic neurites. Only a subset of aggregation inhibitors could revert dysmorphic cellular profiles. We identified lkb1, an upstream kinase in the mTOR/Insulin pathway, and four novel drugs, Camptothecin, OH-Camptothecin, 18β-Glycyrrhetinic acid, and Carbenoxolone, that were strong suppressors of mutant Huntingtin-induced neurotoxicity. Huntingtin neurotoxicity suppressors identified through our screen also restored viability in an in vivo Drosophila Huntington's Disease model, making them attractive candidates for further therapeutic evaluation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 4%
United Kingdom 1 <1%
France 1 <1%
China 1 <1%
Unknown 94 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Researcher 18 18%
Student > Master 9 9%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 18 18%
Unknown 16 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 36 36%
Biochemistry, Genetics and Molecular Biology 13 13%
Neuroscience 12 12%
Medicine and Dentistry 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 10 10%
Unknown 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 March 2023.
All research outputs
#5,140,971
of 34,364,397 outputs
Outputs from PLOS ONE
#52,948
of 224,528 outputs
Outputs of similar age
#25,817
of 173,529 outputs
Outputs of similar age from PLOS ONE
#627
of 2,853 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,528 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done well, scoring higher than 75% of its peers.
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 173,529 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 2,853 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.