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Functional Neuromuscular Junctions Formed by Embryonic Stem Cell-Derived Motor Neurons

Overview of attention for article published in PLOS ONE, May 2012
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Title
Functional Neuromuscular Junctions Formed by Embryonic Stem Cell-Derived Motor Neurons
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0036049
Pubmed ID
Authors

Joy A. Umbach, Katrina L. Adams, Cameron B. Gundersen, Bennett G. Novitch

Abstract

A key objective of stem cell biology is to create physiologically relevant cells suitable for modeling disease pathologies in vitro. Much progress towards this goal has been made in the area of motor neuron (MN) disease through the development of methods to direct spinal MN formation from both embryonic and induced pluripotent stem cells. Previous studies have characterized these neurons with respect to their molecular and intrinsic functional properties. However, the synaptic activity of stem cell-derived MNs remains less well defined. In this study, we report the development of low-density co-culture conditions that encourage the formation of active neuromuscular synapses between stem cell-derived MNs and muscle cells in vitro. Fluorescence microscopy reveals the expression of numerous synaptic proteins at these contacts, while dual patch clamp recording detects both spontaneous and multi-quantal evoked synaptic responses similar to those observed in vivo. Together, these findings demonstrate that stem cell-derived MNs innervate muscle cells in a functionally relevant manner. This dual recording approach further offers a sensitive and quantitative assay platform to probe disorders of synaptic dysfunction associated with MN disease.

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Geographical breakdown

Country Count As %
United States 7 4%
France 2 1%
Israel 1 <1%
Belgium 1 <1%
United Kingdom 1 <1%
Unknown 164 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 30%
Researcher 33 19%
Student > Master 25 14%
Student > Bachelor 18 10%
Student > Postgraduate 8 5%
Other 18 10%
Unknown 21 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 25%
Neuroscience 26 15%
Engineering 23 13%
Biochemistry, Genetics and Molecular Biology 22 13%
Medicine and Dentistry 18 10%
Other 18 10%
Unknown 25 14%