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A small molecule mitigates hearing loss in a mouse model of Usher syndrome III

Overview of attention for article published in Nature Chemical Biology, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
9 news outlets
twitter
15 X users
patent
7 patents
facebook
4 Facebook pages
googleplus
1 Google+ user

Citations

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41 Dimensions

Readers on

mendeley
71 Mendeley
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Title
A small molecule mitigates hearing loss in a mouse model of Usher syndrome III
Published in
Nature Chemical Biology, April 2016
DOI 10.1038/nchembio.2069
Pubmed ID
Authors

Kumar N Alagramam, Suhasini R Gopal, Ruishuang Geng, Daniel H-C Chen, Ina Nemet, Richard Lee, Guilian Tian, Masaru Miyagi, Karine F Malagu, Christopher J Lock, William R K Esmieu, Andrew P Owens, Nicola A Lindsay, Krista Ouwehand, Faywell Albertus, David F Fischer, Roland W Bürli, Angus M MacLeod, William E Harte, Krzysztof Palczewski, Yoshikazu Imanishi

Abstract

Usher syndrome type III (USH3), characterized by progressive deafness, variable balance disorder and blindness, is caused by destabilizing mutations in the gene encoding the clarin-1 (CLRN1) protein. Here we report a new strategy to mitigate hearing loss associated with a common USH3 mutation CLRN1(N48K) that involves cell-based high-throughput screening of small molecules capable of stabilizing CLRN1(N48K), followed by a secondary screening to eliminate general proteasome inhibitors, and finally an iterative process to optimize structure-activity relationships. This resulted in the identification of BioFocus 844 (BF844). To test the efficacy of BF844, we developed a mouse model that mimicked the progressive hearing loss associated with USH3. BF844 effectively attenuated progressive hearing loss and prevented deafness in this model. Because the CLRN1(N48K) mutation causes both hearing and vision loss, BF844 could in principle prevent both sensory deficiencies in patients with USH3. Moreover, the strategy described here could help identify drugs for other protein-destabilizing monogenic disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 23%
Student > Bachelor 9 13%
Other 6 8%
Student > Ph. D. Student 6 8%
Student > Master 6 8%
Other 10 14%
Unknown 18 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 20%
Agricultural and Biological Sciences 11 15%
Chemistry 9 13%
Neuroscience 6 8%
Medicine and Dentistry 6 8%
Other 6 8%
Unknown 19 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 24 February 2022.
All research outputs
#442,901
of 23,189,371 outputs
Outputs from Nature Chemical Biology
#224
of 3,100 outputs
Outputs of similar age
#8,940
of 299,386 outputs
Outputs of similar age from Nature Chemical Biology
#10
of 51 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,100 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done particularly well, scoring higher than 92% 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 299,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.