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Ubiquilin-2 drives NF-κB activity and cytosolic TDP-43 aggregation in neuronal cells

Overview of attention for article published in Molecular Brain, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 501)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Ubiquilin-2 drives NF-κB activity and cytosolic TDP-43 aggregation in neuronal cells
Published in
Molecular Brain, January 2015
DOI 10.1186/s13041-015-0162-6
Pubmed ID
Authors

Vincent Picher-Martel, Kallol Dutta, Daniel Phaneuf, Gen Sobue, Jean-Pierre Julien

Abstract

Mutations in the gene encoding Ubiquilin-2 (UBQLN2) are linked to amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). UBQLN2 plays a central role in ubiquitin proteasome system (UPS) and UBQLN2 mutants can form cytoplasmic aggregates in vitro and in vivo. Here, we report that overexpression of WT or mutant UBQLN2 species enhanced nuclear factor κB (NF-κB) activation in Neuro2A cells. The inhibition of NF-κB stress-mediated activation with SB203580, a p38 MAPK inhibitor, demonstrated a role for MAPK in NF-κB activation by UBQLN2 species. Live cell imaging and microscopy showed that UBQLN2 aggregates are dynamic structures that promote cytoplasmic accumulation of TAR DNA-binding protein (TDP-43), a major component of ALS inclusion bodies. Furthermore, up-regulation of UBQLN2 species in neurons caused an ER-stress response and increased their vulnerability to death by toxic mediator TNF-α. Withaferin A, a known NF-κB inhibitor, reduced mortality of Neuro2A cells overexpressing UBQLN2 species. These results suggest that UBQLN2 dysregulation in neurons can drive NF-κB activation and cytosolic TDP-43 aggregation, supporting the concept of pathway convergence in ALS pathogenesis. These Ubiquilin-2 pathogenic pathways might represent suitable therapeutic targets for future ALS treatment.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 11 21%
Student > Bachelor 8 15%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Other 8 15%
Unknown 3 6%
Readers by discipline Count As %
Neuroscience 16 31%
Agricultural and Biological Sciences 12 23%
Biochemistry, Genetics and Molecular Biology 11 21%
Medicine and Dentistry 4 8%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 November 2015.
All research outputs
#1,075,077
of 11,426,369 outputs
Outputs from Molecular Brain
#44
of 501 outputs
Outputs of similar age
#34,455
of 250,057 outputs
Outputs of similar age from Molecular Brain
#5
of 32 outputs
Altmetric has tracked 11,426,369 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 501 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 90% 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 250,057 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 86% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.