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Further characterization of embryonic stem cell-derived radial glial cells

  • Sean S. Liour(corresponding author)
    ,
  • Stacey A. Kraemer
    ,
  • Michael B. Dinkins
    ,
  • Chen Ying Su
    ,
  • Makoto Yanagisawa
    ,
  • Robert K. Yu
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

Previously, we showed that radial glia-like (RG) cells differentiated from embryonic stem (ES) cells after retinoic acid induction (Liour and Yu, 2003: Glia 42:109-117). In the present study, we demonstrate that the production of RG cells from ES cells is independent of the neural differentiation protocol used. These ES cell-derived RG (ES-RG) cells are similar in morphology to RG cells in vivo and express several characteristic RG cell markers. The processes of these ES-RG cells are organized into radial arrays similar to the RG scaffold in developing CNS. Expression of Pax6, along with other circumstantial data, suggests that at least some of these ES-RG cells are neural progenitors. The progression of neurogenesis into gliogenesis during the in vitro neural differentiation of ES cells recapitulates the in vivo developmental process. The identification of two cell surface markers, SSEA-1 and GM1, on both the native embryonic RG cells and ES-RG cells, may facilitate purification of radial glial cells for future studies and cell therapy. Overall, our study suggests that differentiation of radial glial cells is a common pathway during the neural differentiation of ES cells.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 43-56 (14 pages)

Journal (Volume, Issue Number)

Glia (Volume 53, Issue 1)

Publication milestones

  • Published - 01/01/2006

Publication status

Published - 01/01/2006

ISSN

0894-1491

Publication IDs

  • Scopus: 30444453006
  • PubMed: 16158417

Publication metrics

Metrics

SciVal
citations
33
Scopus
citations
SciVal
FWCI
1.17
SciVal
Author count
6
SciVal
Paper percentile
81
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1

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Captures
34
Citation count
35