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Lupperger, V. ; Marr, C. ; Chapouton, P.

Reoccurring neural stem cell divisions in the adult zebrafish telencephalon are sufficient for the emergence of aggregated spatiotemporal patterns.

PLoS Biol. 18:e3000708 (2020)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Radial Glia; Progenitor Cells; Notch Activity; Quiescence; Brain; Cycle; Heterogeneity; Neurogenesis; Niche; Proliferation
Sprache englisch
Veröffentlichungsjahr 2020
HGF-Berichtsjahr 2020
ISSN (print) / ISBN 1544-9173
e-ISSN 1545-7885
Zeitschrift PLoS Biology
Quellenangaben Band: 18, Heft: 12, Seiten: , Artikelnummer: e3000708 Supplement: ,
Verlag Public Library of Science (PLoS)
Verlagsort 1160 Battery Street, Ste 100, San Francisco, Ca 94111 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Stem Cell Research (ISF)
Institute of Computational Biology (ICB)
POF Topic(s) 30204 - Cell Programming and Repair
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Stem Cell and Neuroscience
Enabling and Novel Technologies
PSP-Element(e) G-500800-001
G-503800-001
Förderungen European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
Bundesministerium fur Bildung und Forschung (BMBF)
DOI 10.1371/journal.pbio.3000708
WOS ID WOS:000598026300002
Scopus ID 85097656124
PubMed ID 33290409
Erfassungsdatum 2020-12-16
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