Induced pluripotent stem cells from a spinal muscular atrophy patient
Allison D. Ebert (),
Junying Yu,
Ferrill F. Rose,
Virginia B. Mattis,
Christian L. Lorson,
James A. Thomson and
Clive N. Svendsen ()
Additional contact information
Allison D. Ebert: The Waisman Center, and,
Junying Yu: The Genome Center and Wisconsin National Primate Research Center, University of Wisconsin-Madison, 425 Henry Mall, Madison, Wisconsin 53706, USA
Ferrill F. Rose: Bond Life Sciences Center, University of Missouri, 1201 Rollins Road, Columbia, Missouri 65211, USA
Virginia B. Mattis: Bond Life Sciences Center, University of Missouri, 1201 Rollins Road, Columbia, Missouri 65211, USA
Christian L. Lorson: Bond Life Sciences Center, University of Missouri, 1201 Rollins Road, Columbia, Missouri 65211, USA
James A. Thomson: The Stem Cell and Regenerative Medicine Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, Wisconsin 53705, USA
Clive N. Svendsen: The Waisman Center, and,
Nature, 2009, vol. 457, issue 7227, 277-280
Abstract:
Abstract Spinal muscular atrophy is one of the most common inherited forms of neurological disease leading to infant mortality. Patients have selective loss of lower motor neurons resulting in muscle weakness, paralysis and often death. Although patient fibroblasts have been used extensively to study spinal muscular atrophy, motor neurons have a unique anatomy and physiology which may underlie their vulnerability to the disease process. Here we report the generation of induced pluripotent stem cells from skin fibroblast samples taken from a child with spinal muscular atrophy. These cells expanded robustly in culture, maintained the disease genotype and generated motor neurons that showed selective deficits compared to those derived from the child’s unaffected mother. This is the first study to show that human induced pluripotent stem cells can be used to model the specific pathology seen in a genetically inherited disease. As such, it represents a promising resource to study disease mechanisms, screen new drug compounds and develop new therapies.
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:457:y:2009:i:7227:d:10.1038_nature07677
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DOI: 10.1038/nature07677
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