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Proteomics of Huntington’s Disease-Affected Human Embryonic Stem Cells Reveals an Evolving Pathology Involving Mitochondrial Dysfunction and Metabolic Disturbances

Overview of attention for article published in Journal of Proteome Research, October 2014
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 blog
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6 X users
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2 Facebook pages

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60 Mendeley
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Title
Proteomics of Huntington’s Disease-Affected Human Embryonic Stem Cells Reveals an Evolving Pathology Involving Mitochondrial Dysfunction and Metabolic Disturbances
Published in
Journal of Proteome Research, October 2014
DOI 10.1021/pr500649m
Pubmed ID
Authors

Leon R. McQuade, Anushree Balachandran, Heather A. Scott, Simer Khaira, Mark S. Baker, Uli Schmidt

Abstract

Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder caused by a mutation in the Huntingtin gene, where excessive (>36) CAG repeats encode for glutamine expansion in the huntingtin protein. Research using mouse models and human pathological material has indicated dysfunctions in a myriad of systems, including mitochondrial and ubiquitin/proteasome complexes, cytoskeletal transport, signalling and transcriptional regulation. Here, we examined the earliest biochemical and pathways involved in HD pathology. We conducted a proteomics study combined with immunocytochemical analysis of undifferentiated HD-affected and unaffected human embryonic stem cells (hESC). Analysis of 1,883 identifications derived from membrane and cytosolic enriched fractions revealed mitochondria as the primary dysfunctional organ in HD-affected pluripotent cells, in the absence of significant differences in huntingtin protein. Furthermore, based upon analysis of 645 proteins found in neurodifferentiated hESC, we show a shift to transcriptional dysregulation and cytoskeletal abnormalities as the primary pathologies in HD-affected cells differentiating along neural lineages in vitro. We also show this is concomitant with an up-regulation in expression of huntingtin protein in HD-affected cells. This study demonstrates the utility of a model that recapitulates HD pathology and offers insights into disease initiation, aetiology, progression and potential therapeutic intervention.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Australia 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 12 20%
Student > Master 7 12%
Student > Bachelor 7 12%
Professor 4 7%
Other 9 15%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 27%
Neuroscience 12 20%
Biochemistry, Genetics and Molecular Biology 12 20%
Medicine and Dentistry 4 7%
Chemistry 3 5%
Other 7 12%
Unknown 6 10%
Attention Score in Context

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 01 December 2014.
All research outputs
#2,871,392
of 22,766,595 outputs
Outputs from Journal of Proteome Research
#741
of 6,021 outputs
Outputs of similar age
#35,203
of 260,448 outputs
Outputs of similar age from Journal of Proteome Research
#12
of 174 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,021 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 87% 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 260,448 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 174 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.