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Directed Induction of Functional Motor Neuron-Like Cells from Genetically Engineered Human Mesenchymal Stem Cells

Overview of attention for article published in PLOS ONE, April 2012
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Title
Directed Induction of Functional Motor Neuron-Like Cells from Genetically Engineered Human Mesenchymal Stem Cells
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035244
Pubmed ID
Authors

Hwan-Woo Park, Jung-Sun Cho, Chul-Kyu Park, Sung Jun Jung, Chang-Hwan Park, Shin-Jae Lee, Seog Bae Oh, Young-Seok Park, Mi-Sook Chang

Abstract

Cell replacement using stem cells is a promising therapeutic approach to treat degenerative motor neuron (MN) disorders, such as amyotrophic lateral sclerosis and spinal cord injury. Human bone marrow-derived mesenchymal stem cells (hMSCs) are a desirable cell source for autologous cell replacement therapy to treat nervous system injury due to their plasticity, low immunogenicity, and a lower risk of tumor formation than embryonic stem cells. However, hMSCs are inefficient with regards to differentiating into MN-like cells. To solve this limitation, we genetically engineered hMSCs to express MN-associated transcription factors, Olig2 and Hb9, and then treat the hMSCs expressing Olig2 and Hb9 with optimal MN induction medium (MNIM). This method of induction led to higher expression (>30% of total cells) of MN markers. Electrophysiological data revealed that the induced hMSCs had the excitable properties of neurons and were able to form functional connections with muscle fibers in vitro. Furthermore, when the induced hMSCs were transplanted into an injured organotypic rat spinal cord slice culture, an ex vivo model of spinal cord injury, they exhibited characteristics of MNs. The data strongly suggest that induced Olig2/Hb9-expressing hMSCs were clearly reprogrammed and directed toward a MN-like lineage. We propose that methods to induce Olig2 and Hb9, followed by further induction with MNIM have therapeutic potential for autologous cell replacement therapy to treat degenerative MN disorders.

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The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Korea, Republic of 1 2%
Australia 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Student > Bachelor 8 13%
Researcher 7 11%
Professor 6 10%
Student > Postgraduate 3 5%
Other 9 15%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 19%
Biochemistry, Genetics and Molecular Biology 11 18%
Medicine and Dentistry 10 16%
Neuroscience 5 8%
Engineering 2 3%
Other 5 8%
Unknown 17 27%