| Title |
Subcellular Parkinson’s Disease-Specific Alpha-Synuclein Species Show Altered Behavior in Neurodegeneration
|
|---|---|
| Published in |
Molecular Neurobiology, November 2016
|
| DOI | 10.1007/s12035-016-0266-8 |
| Pubmed ID | |
| Authors |
Rashed Abdullah, Ketan S. Patil, Benjamin Rosen, Ramavati Pal, Shubhangi Prabhudesai, Sungsu Lee, Indranil Basak, Esthelle Hoedt, Peter Yang, Keith Panick, Hsin-Pin Ho, Emmanuel Chang, Charalampos Tzoulis, Jan Petter Larsen, Thomas A. Neubert, Guido Alves, Simon G. Møller |
| Abstract |
Parkinson's disease and other synucleinopathies are characterized by the presence of intra-neuronal protein aggregates enriched in the presynaptic protein α-synuclein. α-synuclein is considered an intrinsically disordered 14 kDa monomer, and although poorly understood, its transition to higher-order multimeric species may play central roles in healthy neurons and during Parkinson's disease pathogenesis. In this study, we demonstrate that α-synuclein exists as defined, subcellular-specific species that change characteristics in response to oxidative stress in neuroblastoma cells and in response to Parkinson's disease pathogenesis in human cerebellum and frontal cortex. We further show that the phosphorylation patterns of different α-synuclein species are subcellular specific and dependent on the oxidative environment. Using high-performance liquid chromatography and mass spectrometry, we identify a Parkinson's disease enriched, cytosolic ~36-kDa α-synuclein species which can be recapitulated in Parkinson's disease model neuroblastoma cells. The characterization of subcellular-specific α-synuclein features in neurodegeneration will allow for the identification of neurotoxic α-synuclein species, which represent prime targets to reduce α-synuclein pathogenicity. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Bachelor | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Neuroscience | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Chemistry | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 November 2016.
All research outputs
#4,195,563
of 22,901,818 outputs
Outputs from Molecular Neurobiology
#871
of 3,468 outputs
Outputs of similar age
#69,569
of 310,682 outputs
Outputs of similar age from Molecular Neurobiology
#34
of 108 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,468 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 gotten more attention than average, scoring higher than 69% of its peers.
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We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.