Use of ``MGE enhancers'' for labeling and selection of embryonic stem cell-derived medial ganglionic eminence (MGE) progenitors and neurons. Chen, Y. J, Vogt, D., Wang, Y., Visel, A., Silberberg, S. N, Nicholas, C. R, Danjo, T., Pollack, J. L, Pennacchio, L. A, Anderson, S., Sasai, Y., Baraban, S. C, Kriegstein, A. R, Alvarez-Buylla, A., & Rubenstein, J. L R PLoS One, 8(5):e61956, May, 2013.
abstract   bibtex   
The medial ganglionic eminence (MGE) is an embryonic forebrain structure that generates the majority of cortical interneurons. MGE transplantation into specific regions of the postnatal central nervous system modifies circuit function and improves deficits in mouse models of epilepsy, Parkinson's disease, pain, and phencyclidine-induced cognitive deficits. Herein, we describe approaches to generate MGE-like progenitor cells from mouse embryonic stem (ES) cells. Using a modified embryoid body method, we provided gene expression evidence that mouse ES-derived Lhx6(+) cells closely resemble immature interneurons generated from authentic MGE-derived Lhx6(+) cells. We hypothesized that enhancers that are active in the mouse MGE would be useful tools in detecting when ES cells differentiate into MGE cells. Here we demonstrate the utility of enhancer elements [422 (DlxI12b), Lhx6, 692, 1056, and 1538] as tools to mark MGE-like cells in ES cell differentiation experiments. We found that enhancers DlxI12b, 692, and 1538 are active in Lhx6-GFP(+) cells, while enhancer 1056 is active in Olig2(+) cells. These data demonstrate unique techniques to follow and purify MGE-like derivatives from ES cells, including GABAergic cortical interneurons and oligodendrocytes, for use in stem cell-based therapeutic assays and treatments.
@ARTICLE{Chen2013-oe,
  title    = "Use of ``{MGE} enhancers'' for labeling and selection of
              embryonic stem cell-derived medial ganglionic eminence ({MGE})
              progenitors and neurons",
  author   = "Chen, Ying-Jiun J and Vogt, Daniel and Wang, Yanling and Visel,
              Axel and Silberberg, Shanni N and Nicholas, Cory R and Danjo,
              Teruko and Pollack, Joshua L and Pennacchio, Len A and Anderson,
              Stewart and Sasai, Yoshiki and Baraban, Scott C and Kriegstein,
              Arnold R and Alvarez-Buylla, Arturo and Rubenstein, John L R",
  abstract = "The medial ganglionic eminence (MGE) is an embryonic forebrain
              structure that generates the majority of cortical interneurons.
              MGE transplantation into specific regions of the postnatal
              central nervous system modifies circuit function and improves
              deficits in mouse models of epilepsy, Parkinson's disease, pain,
              and phencyclidine-induced cognitive deficits. Herein, we describe
              approaches to generate MGE-like progenitor cells from mouse
              embryonic stem (ES) cells. Using a modified embryoid body method,
              we provided gene expression evidence that mouse ES-derived
              Lhx6(+) cells closely resemble immature interneurons generated
              from authentic MGE-derived Lhx6(+) cells. We hypothesized that
              enhancers that are active in the mouse MGE would be useful tools
              in detecting when ES cells differentiate into MGE cells. Here we
              demonstrate the utility of enhancer elements [422 (DlxI12b),
              Lhx6, 692, 1056, and 1538] as tools to mark MGE-like cells in ES
              cell differentiation experiments. We found that enhancers
              DlxI12b, 692, and 1538 are active in Lhx6-GFP(+) cells, while
              enhancer 1056 is active in Olig2(+) cells. These data demonstrate
              unique techniques to follow and purify MGE-like derivatives from
              ES cells, including GABAergic cortical interneurons and
              oligodendrocytes, for use in stem cell-based therapeutic assays
              and treatments.",
  journal  = "PLoS One",
  volume   =  8,
  number   =  5,
  pages    = "e61956",
  month    =  may,
  year     =  2013,
  language = "en"
}

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