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Physiological Normoxia and Absence of EGF Is Required for the Long-Term Propagation of Anterior Neural Precursors from Human Pluripotent Cells

Overview of attention for article published in PLOS ONE, January 2014
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Title
Physiological Normoxia and Absence of EGF Is Required for the Long-Term Propagation of Anterior Neural Precursors from Human Pluripotent Cells
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085932
Pubmed ID
Authors

Bilada Bilican, Matthew R. Livesey, Ghazal Haghi, Jing Qiu, Karen Burr, Rick Siller, Giles E. Hardingham, David J. A. Wyllie, Siddharthan Chandran

Abstract

Widespread use of human pluripotent stem cells (hPSCs) to study neuronal physiology and function is hindered by the ongoing need for specialist expertise in converting hPSCs to neural precursor cells (NPCs). Here, we describe a new methodology to generate cryo-preservable hPSC-derived NPCs that retain an anterior identity and are propagatable long-term prior to terminal differentiation, thus abrogating regular de novo neuralization. Key to achieving passagable NPCs without loss of identity is the combination of both absence of EGF and propagation in physiological levels (3%) of O2. NPCs generated in this way display a stable long-term anterior forebrain identity and importantly retain developmental competence to patterning signals. Moreover, compared to NPCs maintained at ambient O2 (21%), they exhibit enhanced uniformity and speed of functional maturation, yielding both deep and upper layer cortical excitatory neurons. These neurons display multiple attributes including the capability to form functional synapses and undergo activity-dependent gene regulation. The platform described achieves long-term maintenance of anterior neural precursors that can give rise to forebrain neurones in abundance, enabling standardised functional studies of neural stem cell maintenance, lineage choice and neuronal functional maturation for neurodevelopmental research and disease-modelling.

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Geographical breakdown

Country Count As %
Denmark 1 1%
Germany 1 1%
Unknown 76 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 33%
Researcher 13 17%
Student > Master 12 15%
Student > Bachelor 4 5%
Other 3 4%
Other 7 9%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 28%
Neuroscience 18 23%
Biochemistry, Genetics and Molecular Biology 10 13%
Medicine and Dentistry 7 9%
Engineering 2 3%
Other 6 8%
Unknown 13 17%