Reoccurring neural stem cell divisions in the adult zebrafish telencephalon are sufficient for the emergence of aggregated spatiotemporal patterns.
PLoS Biol. 18:e3000708 (2020)
Regulation of quiescence and cell cycle entry is pivotal for the maintenance of stem cell populations. Regulatory mechanisms, however, are poorly understood. In particular, it is unclear how the activity of single stem cells is coordinated within the population or if cells divide in a purely random fashion. We addressed this issue by analyzing division events in an adult neural stem cell (NSC) population of the zebrafish telencephalon. Spatial statistics and mathematical modeling of over 80,000 NSCs in 36 brain hemispheres revealed weakly aggregated, nonrandom division patterns in space and time. Analyzing divisions at 2 time points allowed us to infer cell cycle and S-phase lengths computationally. Interestingly, we observed rapid cell cycle reentries in roughly 15% of newly born NSCs. In agent-based simulations of NSC populations, this redividing activity sufficed to induce aggregated spatiotemporal division patterns that matched the ones observed experimentally. In contrast, omitting redivisions leads to a random spatiotemporal distribution of dividing cells. Spatiotemporal aggregation of dividing stem cells can thus emerge solely from the cell's history.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Radial Glia; Progenitor Cells; Notch Activity; Quiescence; Brain; Cycle; Heterogeneity; Neurogenesis; Niche; Proliferation
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Language
english
Publication Year
2020
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2020
ISSN (print) / ISBN
1544-9173
e-ISSN
1545-7885
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Volume: 18,
Issue: 12,
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Article Number: e3000708
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Public Library of Science (PLoS)
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1160 Battery Street, Ste 100, San Francisco, Ca 94111 Usa
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Peer reviewed
POF-Topic(s)
30204 - Cell Programming and Repair
30205 - Bioengineering and Digital Health
Research field(s)
Stem Cell and Neuroscience
Enabling and Novel Technologies
PSP Element(s)
G-500800-001
G-503800-001
Grants
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
Bundesministerium fur Bildung und Forschung (BMBF)
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Erfassungsdatum
2020-12-16