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ALS disease modeling and drug screening using patient-specific iPS cells

Overview of attention for article published in Rinshō shinkeigaku Clinical neurology, January 2013
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Title
ALS disease modeling and drug screening using patient-specific iPS cells
Published in
Rinshō shinkeigaku Clinical neurology, January 2013
DOI 10.5692/clinicalneurol.53.1020
Pubmed ID
Authors

Naohiro Egawa, Haruhisa Inoue

Abstract

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder in which motor neuron (MN) loss in the spinal cord leads to progressive paralysis and death. Cytosolic aggregations in ALS MNs are composed of Tar DNA-binding protein-43 (TDP-43). Genetic analysis has identified more than twenty mutations of TDP-43 in ALS cases. Although accumulating evidence provides several hypotheses of disease mechanism, it is still needed to discover effective cure for ALS. We aimed to reveal cellular phenotypes in ALS MNs for identifying a drug-screening target for ALS using patient-specific induced pluripotent stem cells (iPSCs). To generate patient-specific iPSCs, dermal fibroblasts were obtained by biopsy from ALS patients carrying mutant TDP-43. The fibroblasts were reprogrammed by retrovirus or episomal vectors. Disease-specific iPSCs were differentiated into MNs expressing HB9 and SMI-32. Despite short culture period, ALS MNs recapitulated several disease phenotypes including detergent-insoluble TDP-43, shortened neurites and cellular vulnerability that observed in patient and animal models. Anacardic acid treatment reverted those phenotypes. Disease-specific iPSCs might provide a first step for drug-screening platform for ALS using patient-specific iPSCs.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Ph. D. Student 4 16%
Student > Master 3 12%
Student > Bachelor 2 8%
Other 1 4%
Other 3 12%
Unknown 7 28%
Readers by discipline Count As %
Medicine and Dentistry 7 28%
Neuroscience 4 16%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 16%
Unknown 7 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 December 2013.
All research outputs
#17,896,464
of 26,203,160 outputs
Outputs from Rinshō shinkeigaku Clinical neurology
#309
of 707 outputs
Outputs of similar age
#198,400
of 293,637 outputs
Outputs of similar age from Rinshō shinkeigaku Clinical neurology
#20
of 53 outputs
Altmetric has tracked 26,203,160 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 293,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.