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A common gene expression signature in Huntington’s disease patient brain regions

Overview of attention for article published in BMC Medical Genomics, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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4 tweeters

Citations

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30 Dimensions

Readers on

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74 Mendeley
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Title
A common gene expression signature in Huntington’s disease patient brain regions
Published in
BMC Medical Genomics, October 2014
DOI 10.1186/s12920-014-0060-2
Pubmed ID
Authors

Andreas Neueder, Gillian P Bates

Abstract

BackgroundGene expression data provide invaluable insights into disease mechanisms. In Huntington¿s disease (HD), a neurodegenerative disease caused by a tri-nucleotide repeat expansion in the huntingtin gene, extensive transcriptional dysregulation has been reported. Conventional dysregulation analysis has shown that e.g. in the caudate nucleus of the post mortem HD brain the gene expression level of about a third of all genes was altered. Owing to this large number of dysregulated genes, the underlying relevance of expression changes is often lost in huge gene lists that are difficult to comprehend.MethodsTo alleviate this problem, we employed weighted correlation network analysis to archival gene expression datasets of HD post mortem brain regions.ResultsWe were able to uncover previously unidentified transcription dysregulation in the HD cerebellum that contained a gene expression signature in common with the caudate nucleus and the BA4 region of the frontal cortex. Furthermore, we found that yet unassociated pathways, e.g. global mRNA processing, were dysregulated in HD. We provide evidence to show that, contrary to previous findings, mutant huntingtin is sufficient to induce a subset of stress response genes in the cerebellum and frontal cortex BA4 region. The comparison of HD with other neurodegenerative disorders showed that the immune system, in particular the complement system, is generally activated. We also demonstrate that HD mouse models mimic some aspects of the disease very well, while others, e.g. the activation of the immune system are inadequately reflected.ConclusionOur analysis provides novel insights into the molecular pathogenesis in HD and identifies genes and pathways as potential therapeutic targets.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 27%
Researcher 20 27%
Student > Master 12 16%
Student > Postgraduate 9 12%
Student > Bachelor 7 9%
Other 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 31%
Biochemistry, Genetics and Molecular Biology 16 22%
Neuroscience 12 16%
Psychology 6 8%
Medicine and Dentistry 6 8%
Other 10 14%
Unknown 1 1%

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 01 October 2015.
All research outputs
#1,301,409
of 6,229,091 outputs
Outputs from BMC Medical Genomics
#103
of 383 outputs
Outputs of similar age
#41,307
of 155,182 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 15 outputs
Altmetric has tracked 6,229,091 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 383 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 71% 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 155,182 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 72% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.