The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Subregional Specification of Embryonic Stem Cell-Derived Ventral Telencephalic Tissues by Timed and Combinatory Treatment with Extrinsic Signals
Open accessAbstract
During early telencephalic development, the major portion of the ventral telencephalic (subpallial) region becomes subdivided into three regions, the lateral (LGE), medial (MGE), and caudal (CGE) ganglionic eminences. In this study, we systematically recapitulated subpallial patterning in mouse embryonic stem cell (ESC) cultures and investigated temporal and combinatory actions of patterning signals. In serum-free floating culture, the dorsal-ventral specification of ESC-derived telencephalic neuroectoderm is dose-dependently directed by Sonic hedgehog (Shh) signaling. Early Shh treatment, even before the expression onset of Foxg1 (also Bf1; earliest marker of the telencephalic lineage), is critical for efficiently generating LGE progenitors, and continuous Shh signaling until day 9 is necessary to commit these cells to the LGE lineage. When induced under these conditions and purified by fluorescence-activated cell sorter, telencephalic cells efficiently differentiated into Nolz1+/Ctip2+LGE neuronal precursors and subsequently, both in culture and after in vivo grafting, into DARPP32+medium-sized spiny neurons. Purified telencephalic progenitors treated with high doses of the Hedgehog (Hh) agonist SAG (Smoothened agonist) differentiated into MGE- and CGE-like tissues. Interestingly, in addition to strong Hh signaling, the efficient specification of MGE cells requires Fgf8 signaling but is inhibited by treatment with Fgf15/19. In contrast, CGE differentiation is promoted by Fgf15/19 but suppressed by Fgf8, suggesting that specific Fgf signals play different, critical roles in the positional specification of ESC-derived ventral subpallial tissues. We discuss a model of the antagonistic Fgf8 and Fgf15/19 signaling in rostral-caudal subpallial patterning and compare it with the roles of these molecules in cortical patterning.
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Eiraku, M., Watanabe, K., Matsuo-Takasaki, M., Kawada, M., Yonemura, S., Matsumura, M., Wataya, T., Nishiyama, A., Muguruma, K., & Sasai, Y. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.09.002 · Cited by 1,522
Self-citationReceptor Specificity of the Fibroblast Growth Factor Family
Zhang, X., Ibrahimi, O. A., Olsen, S. K., Umemori, H., Mohammadi, M., & Ornitz, D. M. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m601252200 · Cited by 1,164
The origin and specification of cortical interneurons
Wonders, C. P., & Anderson, S. A. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1954 · Cited by 980 · cited 3×
“Several in vivo studies showed that a majority of MGE-derived cortical interneurons are positive for SOM or PV, whereas the CGE-derived cortical interneurons preferentially express CAR and/or vasointestinal peptide (VIP) (Xu et al., 2004; Butt et al., 2005; Wonders and Anderson, 2006).”
BackgroundSussel, L., Marin, O., Kimura, S., & Rubenstein, J. L. R. (1999) · Development · doi:10.1242/dev.126.15.3359 · Cited by 873
Self-citationTbr1 regulates differentiation of the preplate and layer 6
Hevner, R. F., Shi, L., Justice, N., Hsueh, Y.-P., Sheng, M., Smiga, S., Bulfone, A., Goffinet, A. M., Campagnoni, A. T., & Rubenstein, J. L. R. (2001) · Neuron · doi:10.1016/s0896-6273(01)00211-2 · Cited by 857
Self-citationAn intrinsic mechanism of corticogenesis from embryonic stem cells
Gaspard, N., Bouschet, T., Hourez, R., Dimidschstein, J., Naeije, G., van den Ameele, J., Espuny-Camacho, I., Herpoel, A., Passante, L., Schiffmann, S. N., et al. (2008) · Nature · doi:10.1038/nature07287 · Cited by 641
Origins of Cortical Interneuron Subtypes
Xu, Q., Cobos, I., De La Cruz, E., Rubenstein, J. L., & Anderson, S. A. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.5667-03.2004 · Cited by 639
Self-citationThe temporal and spatial origins of cortical interneurons predict their physiological subtype
Butt, S. J. B., Fuccillo, M., Nery, S., Noctor, S., Kriegstein, A., Corbin, J. G., & Fishell, G. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.034 · Cited by 587
Flames, N., Pla, R., Gelman, D. M., Rubenstein, J. L. R., Puelles, L., & Marín, O. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2750-07.2007 · Cited by 560
Self-citationThe caudal ganglionic eminence is a source of distinct cortical and subcortical cell populations
Nery, S., Fishell, G., & Corbin, J. G. (2002) · Nature Neuroscience · doi:10.1038/nn971 · Cited by 558
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Metadata
- Authors
- Danjo, T., Eiraku, M., Muguruma, K., Watanabe, K., Kawada, M., Yanagawa, Y., Rubenstein, J. L. R., & Sasai, Y.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-02-02
- Volume
- 31
- Issue
- 5
- Pages
- 1919-1933
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2117703421
- Cited by
- 180
- References
- 14
- FWCI
- 4.93
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Danjo, T., Eiraku, M., Muguruma, K., Watanabe, K., Kawada, M., Yanagawa, Y., Rubenstein, J. L. R., & Sasai, Y. (2011). Subregional Specification of Embryonic Stem Cell-Derived Ventral Telencephalic Tissues by Timed and Combinatory Treatment with Extrinsic Signals. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.5128-10.2011
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
