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Diversifying Neural Cells through Order of Birth and Asymmetry of Division

Name: Diversifying Neural Cells through Order of Birth and Asymmetry of Division
Creator: Weimin Zhong
Keywords: Neurons, 0301 basic medicine, 0303 health sciences, Neuroscience(all), Stem Cells, Intracellular Signaling Peptides and Proteins, Cell Differentiation, Nerve Tissue Proteins, Nervous System, 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2003 English Publisher:Elsevier BVJournal:Neuron, volume 37, pages 11-14 (issn: 0896-6273,

Authors: Weimin Zhong;

doi: 10.1016/s0896-6273(02)01178-9

pmid: 12526768

Diversifying Neural Cells through Order of Birth and Asymmetry of Division

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Abstract

A key question in developmental neurobiology is how the diversity of cell types that make up the mature nervous system are generated from a common set of progenitor cells. Drosophila genes governing temporal cell fate determination and asymmetric cell divisions involving numb may represent evolutionarily conserved mechanisms for regulating cell fate diversification in the developing nervous system.

Related Organizations

Yale University
United States

Keywords

Neurons, Neuroscience(all), Stem Cells, Intracellular Signaling Peptides and Proteins, Cell Differentiation, Nerve Tissue Proteins, Nervous System, Juvenile Hormones, Drosophila melanogaster, Animals, Drosophila Proteins, Humans, Cell Lineage, Cell Division

19 Research products, page 1 of 2

Notch
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POU domain protein
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Neurogenic locus Notch protein
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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	59
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%