Neurogenesis in the Central Nervous System

Dubreuil, Véronique; Farkas, Lilla M.; Calegari, Federico; Kosodo, Yoichi; Huttner, Wieland B.

doi:10.1002/9783527619689.ch7

Cited by 1 publication

(3 citation statements)

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“…53 Also active in this capacity is the transforming growth factor β (TGF-β) signaling network. 54 The microenvironment of each individual NPC varies with and is specified by the relative presence of these cell extrinsic factors.…”

Section: Cytoarchitectural Featuresmentioning

confidence: 99%

“…28 Consistent with this observation, Notch signaling is linked to the upregulation of transcription factors -such as NSCL1, NeuralD, and Math3 -implicated in the genetic specification of neuronal differentiation. 54 Several other genes -e.g., Ascl, atoh, and neurogenins, conserved from fruit flies to mammals -have been identified as neural-specific transcription factors, upregulated during neuronal differentiation in a manner that remains unresolved. 28,54 However, while these transcriptional programs control the migration and integration of immature daughter neurons, this appears to occur after the mother NPC had committed to a neurogenic division.…”

Section: Cytoarchitectural Featuresmentioning

confidence: 99%

“…54 Several other genes -e.g., Ascl, atoh, and neurogenins, conserved from fruit flies to mammals -have been identified as neural-specific transcription factors, upregulated during neuronal differentiation in a manner that remains unresolved. 28,54 However, while these transcriptional programs control the migration and integration of immature daughter neurons, this appears to occur after the mother NPC had committed to a neurogenic division. 28 Thus, within a lineage tree, early determinants of the transitions between the above modes of NPC division -symmetric proliferative, asymmetric neurogenic, and symmetric neurogenic -remain unresolved.…”

Section: Cytoarchitectural Featuresmentioning

confidence: 99%

See 2 more Smart Citations

On Simulating the Generation of Mosaicism During Mammalian Cerebral Cortical Development

Case

MacMillan

2009

J. Biol. Syst.

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Renewed calls for a systems biology reflect the hope hat enduring biological questions at single-cell and cell-population scales will be resolved as modern molecular biology, with its reductionist program, approaches a nearly-complete characterization of the molecular mechanisms of specific cellular processes. Due to the confounding complexity of biological organization across these scales, computational science is sought to complement the intuition of experimentalists. However, with respect to the molecular basis of cellular processes during development and disease, a gulf between feasible simulations and realistic biology persists. Formidable are the mathematical and computational challenges to conducting and validating cell population-scale simulations, drawn from single-cell level and molecular level details. Nonetheless, in some biological contexts, a focus on core processes crafted by evolution can yield coarse-grained mathematical models that retain explanatory potential despite drastic simplification of known biochemical kinetics. In this article, we bring this modeling philosophy to bear on the nature of neural progenitor cell decision making during mammalian cerebral cortical development. Specifically, we present the computational component to a research program addressing developmental links between (i) the cellular response to endogenous DNA damage, (ii) primary mechanisms of neuronal genetic heterogeneity, or mosaicism, and (iii) the cell fate decision making that defines the population kinetics of neurogenesis.

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Section: Cytoarchitectural Featuresmentioning

confidence: 99%