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Inhibition of Apoptosis Blocks Human Motor Neuron Cell Death in a Stem Cell Model of Spinal Muscular Atrophy

Overview of attention for article published in PLOS ONE, June 2012
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Title
Inhibition of Apoptosis Blocks Human Motor Neuron Cell Death in a Stem Cell Model of Spinal Muscular Atrophy
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039113
Pubmed ID
Authors

Dhruv Sareen, Allison D. Ebert, Brittany M. Heins, Jered V. McGivern, Loren Ornelas, Clive N. Svendsen

Abstract

Spinal muscular atrophy (SMA) is a genetic disorder caused by a deletion of the survival motor neuron 1 gene leading to motor neuron loss, muscle atrophy, paralysis, and death. We show here that induced pluripotent stem cell (iPSC) lines generated from two Type I SMA subjects-one produced with lentiviral constructs and the second using a virus-free plasmid-based approach-recapitulate the disease phenotype and generate significantly fewer motor neurons at later developmental time periods in culture compared to two separate control subject iPSC lines. During motor neuron development, both SMA lines showed an increase in Fas ligand-mediated apoptosis and increased caspase-8 and-3 activation. Importantly, this could be mitigated by addition of either a Fas blocking antibody or a caspase-3 inhibitor. Together, these data further validate this human stem cell model of SMA, suggesting that specific inhibitors of apoptotic pathways may be beneficial for patients.

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Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Spain 1 <1%
Sweden 1 <1%
Unknown 142 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Student > Master 26 18%
Researcher 25 17%
Student > Bachelor 13 9%
Professor > Associate Professor 9 6%
Other 21 14%
Unknown 27 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 31%
Neuroscience 23 16%
Biochemistry, Genetics and Molecular Biology 21 14%
Medicine and Dentistry 13 9%
Immunology and Microbiology 3 2%
Other 12 8%
Unknown 30 20%