| Title |
Induced Pluripotent Stem Cells in Huntington’s Disease: Disease Modeling and the Potential for Cell-Based Therapy
|
|---|---|
| Published in |
Molecular Neurobiology, December 2015
|
| DOI | 10.1007/s12035-015-9601-8 |
| Pubmed ID | |
| Authors |
Ling Liu, Jin-Sha Huang, Chao Han, Guo-Xin Zhang, Xiao-Yun Xu, Yan Shen, Jie Li, Hai-Yang Jiang, Zhi-Cheng Lin, Nian Xiong, Tao Wang |
| Abstract |
Huntington's disease (HD) is an incurable neurodegenerative disorder that is characterized by motor dysfunction, cognitive impairment, and behavioral abnormalities. It is an autosomal dominant disorder caused by a CAG repeat expansion in the huntingtin gene, resulting in progressive neuronal loss predominately in the striatum and cortex. Despite the discovery of the causative gene in 1993, the exact mechanisms underlying HD pathogenesis have yet to be elucidated. Treatments that slow or halt the disease process are currently unavailable. Recent advances in induced pluripotent stem cell (iPSC) technologies have transformed our ability to study disease in human neural cells. Here, we firstly review the progress made to model HD in vitro using patient-derived iPSCs, which reveal unique insights into illuminating molecular mechanisms and provide a novel human cell-based platform for drug discovery. We then highlight the promises and challenges for pluripotent stem cells that might be used as a therapeutic source for cell replacement therapy of the lost neurons in HD brains. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 31% |
| Spain | 1 | 8% |
| Thailand | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Student > Bachelor | 12 | 17% |
| Researcher | 10 | 14% |
| Student > Master | 7 | 10% |
| Professor | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 25% |
| Neuroscience | 15 | 22% |
| Medicine and Dentistry | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 30 December 2017.
All research outputs
#4,156,370
of 22,835,198 outputs
Outputs from Molecular Neurobiology
#861
of 3,458 outputs
Outputs of similar age
#69,903
of 388,829 outputs
Outputs of similar age from Molecular Neurobiology
#50
of 169 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,458 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 75% 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 388,829 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 81% of its contemporaries.
We're also able to compare this research output to 169 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 70% of its contemporaries.