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Pluripotent Stem Cells for the Study of CNS Development

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2011
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Title
Pluripotent Stem Cells for the Study of CNS Development
Published in
Frontiers in Molecular Neuroscience, January 2011
DOI 10.3389/fnmol.2011.00030
Pubmed ID
Authors

Timothy J. Petros, Jennifer A. Tyson, Stewart A. Anderson

Abstract

The mammalian central nervous system is a complex neuronal network consisting of a diverse array of cellular subtypes generated in a precise spatial and temporal pattern throughout development. Achieving a greater understanding of the molecular and genetic mechanisms that direct a relatively uniform population of neuroepithelial progenitors into diverse neuronal subtypes remains a significant challenge. The advent of pluripotent stem cell (PSC) technology allows researchers to generate diverse neural populations in vitro. Although the primary focus of PSC-derived neural cells has been their therapeutic potential, utilizing PSCs to study neurodevelopment is another frequently overlooked and equally important application. In this review, we explore the potential for utilizing PSCs to study neural development. We introduce the types of neurodevelopmental questions that PSCs can help to address, and we discuss the different strategies and technologies that researchers use to generate diverse subtypes of PSC-derived neurons. Additionally, we highlight the derivation of several thoroughly characterized neural subtypes; spinal motoneurons, midbrain dopaminergic neurons and cortical neurons. We hope that this review encourages researchers to develop innovative strategies for using PSCs for the study of mammalian, and specifically human, neurodevelopment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
France 1 <1%
Netherlands 1 <1%
Denmark 1 <1%
United Kingdom 1 <1%
Unknown 186 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 22%
Researcher 29 15%
Student > Master 27 14%
Student > Bachelor 25 13%
Professor 11 6%
Other 34 18%
Unknown 26 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 34%
Neuroscience 37 19%
Biochemistry, Genetics and Molecular Biology 33 17%
Medicine and Dentistry 11 6%
Engineering 6 3%
Other 12 6%
Unknown 30 15%