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Advancing Stem Cell Models of Alpha-Synuclein Gene Regulation in Neurodegenerative Disease

Overview of attention for article published in Frontiers in Neuroscience, April 2018
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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Title
Advancing Stem Cell Models of Alpha-Synuclein Gene Regulation in Neurodegenerative Disease
Published in
Frontiers in Neuroscience, April 2018
DOI 10.3389/fnins.2018.00199
Pubmed ID
Authors

Desiree A. Piper, Danuta Sastre, Birgitt Schüle

Abstract

Alpha-synuclein (non A4 component of amyloid precursor, SNCA, NM_000345.3) plays a central role in the pathogenesis of Parkinson's disease (PD) and related Lewy body disorders such as Parkinson's disease dementia, Lewy body dementia, and multiple system atrophy. Since its discovery as a disease-causing gene in 1997, alpha-synuclein has been a central point of scientific interest both at the protein and gene level. Mutations, including copy number variants, missense mutations, short structural variants, and single nucleotide polymorphisms, can be causative for PD and affect conformational changes of the protein, can contribute to changes in expression of alpha-synuclein and its isoforms, and can influence regulation of temporal as well as spatial levels of alpha-synuclein in different tissues and cell types. A lot of progress has been made to understand both the physiological transcriptional and epigenetic regulation of the alpha-synuclein gene and whether changes in transcriptional regulation could lead to disease and neurodegeneration in PD and related alpha-synucleinopathies. Although the histopathological changes in these neurodegenerative disorders are similar, the temporal and spatial presentation and progression distinguishes them which could be in part due to changes or disruption of transcriptional regulation of alpha-synuclein. In this review, we describe different genetic alterations that contribute to PD and neurodegenerative conditions and review aspects of transcriptional regulation of the alpha-synuclein gene in the context of the development of PD. New technologies, advanced gene engineering and stem cell modeling, are on the horizon to shed further light on a better understanding of gene regulatory processes and exploit them for therapeutic developments.

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X Demographics

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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 %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 18%
Student > Ph. D. Student 12 17%
Student > Master 11 15%
Researcher 4 6%
Student > Postgraduate 4 6%
Other 8 11%
Unknown 19 27%
Readers by discipline Count As %
Neuroscience 18 25%
Biochemistry, Genetics and Molecular Biology 17 24%
Agricultural and Biological Sciences 4 6%
Medicine and Dentistry 3 4%
Nursing and Health Professions 1 1%
Other 6 8%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 February 2020.
All research outputs
#1,669,864
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#833
of 11,542 outputs
Outputs of similar age
#35,872
of 343,375 outputs
Outputs of similar age from Frontiers in Neuroscience
#27
of 248 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 343,375 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 89% of its contemporaries.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.