Deriving excitatory neurons of the neocortex from pluripotent stem cells. Hansen, D. V, Rubenstein, J. L R, & Kriegstein, A. R Neuron, 70(4):645–660, May, 2011.
abstract   bibtex   
The human cerebral cortex is an immensely complex structure that subserves critical functions that can be disrupted in developmental and degenerative disorders. Recent innovations in cellular reprogramming and differentiation techniques have provided new ways to study the cellular components of the cerebral cortex. Here, we discuss approaches to generate specific subtypes of excitatory cortical neurons from pluripotent stem cells. We review spatial and temporal aspects of cortical neuron specification that can guide efforts to produce excitatory neuron subtypes with increased resolution. Finally, we discuss distinguishing features of human cortical development and their translational ramifications for cortical stem cell technologies.
@ARTICLE{Hansen2011-ce,
  title    = "Deriving excitatory neurons of the neocortex from pluripotent
              stem cells",
  author   = "Hansen, David V and Rubenstein, John L R and Kriegstein, Arnold R",
  abstract = "The human cerebral cortex is an immensely complex structure that
              subserves critical functions that can be disrupted in
              developmental and degenerative disorders. Recent innovations in
              cellular reprogramming and differentiation techniques have
              provided new ways to study the cellular components of the
              cerebral cortex. Here, we discuss approaches to generate specific
              subtypes of excitatory cortical neurons from pluripotent stem
              cells. We review spatial and temporal aspects of cortical neuron
              specification that can guide efforts to produce excitatory neuron
              subtypes with increased resolution. Finally, we discuss
              distinguishing features of human cortical development and their
              translational ramifications for cortical stem cell technologies.",
  journal  = "Neuron",
  volume   =  70,
  number   =  4,
  pages    = "645--660",
  month    =  may,
  year     =  2011,
  language = "en"
}

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