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A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex
BACKGROUND: Neurogenesis in the murine cerebral cortex involves the coordinated divisions of two main types of progenitor cells, whose numbers, division modes and cell cycle durations set up the final neuronal output. To understand the respective roles of these factors in the neurogenesis process, w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744691/ https://www.ncbi.nlm.nih.gov/pubmed/31521111 http://dx.doi.org/10.1186/s12859-019-3018-8 |
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author | Postel, Marie Karam, Alice Pézeron, Guillaume Schneider-Maunoury, Sylvie Clément, Frédérique |
author_facet | Postel, Marie Karam, Alice Pézeron, Guillaume Schneider-Maunoury, Sylvie Clément, Frédérique |
author_sort | Postel, Marie |
collection | PubMed |
description | BACKGROUND: Neurogenesis in the murine cerebral cortex involves the coordinated divisions of two main types of progenitor cells, whose numbers, division modes and cell cycle durations set up the final neuronal output. To understand the respective roles of these factors in the neurogenesis process, we combine experimental in vivo studies with mathematical modeling and numerical simulations of the dynamics of neural progenitor cells. A special focus is put on the population of intermediate progenitors (IPs), a transit amplifying progenitor type critically involved in the size of the final neuron pool. RESULTS: A multiscale formalism describing IP dynamics allows one to track the progression of cells along the subsequent phases of the cell cycle, as well as the temporal evolution of the different cell numbers. Our model takes into account the dividing apical progenitors (AP) engaged into neurogenesis, both neurogenic and proliferative IPs, and the newborn neurons. The transfer rates from one population to another are subject to the mode of division (proliferative, or neurogenic) and may be time-varying. The model outputs are successfully fitted to experimental cell numbers from mouse embryos at different stages of cortical development, taking into account IPs and neurons, in order to adjust the numerical parameters. We provide additional information on cell kinetics, such as the mitotic and S phase indexes, and neurogenic fraction. CONCLUSIONS: Applying the model to a mouse mutant for Ftm/Rpgrip1l, a gene involved in human ciliopathies with severe brain abnormalities, reveals a shortening of the neurogenic period associated with an increased influx of newborn IPs from apical progenitors at mid-neurogenesis. Our model can be used to study other mouse mutants with cortical neurogenesis defects and can be adapted to study the importance of progenitor dynamics in cortical evolution and human diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3018-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6744691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67446912019-09-18 A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex Postel, Marie Karam, Alice Pézeron, Guillaume Schneider-Maunoury, Sylvie Clément, Frédérique BMC Bioinformatics Research Article BACKGROUND: Neurogenesis in the murine cerebral cortex involves the coordinated divisions of two main types of progenitor cells, whose numbers, division modes and cell cycle durations set up the final neuronal output. To understand the respective roles of these factors in the neurogenesis process, we combine experimental in vivo studies with mathematical modeling and numerical simulations of the dynamics of neural progenitor cells. A special focus is put on the population of intermediate progenitors (IPs), a transit amplifying progenitor type critically involved in the size of the final neuron pool. RESULTS: A multiscale formalism describing IP dynamics allows one to track the progression of cells along the subsequent phases of the cell cycle, as well as the temporal evolution of the different cell numbers. Our model takes into account the dividing apical progenitors (AP) engaged into neurogenesis, both neurogenic and proliferative IPs, and the newborn neurons. The transfer rates from one population to another are subject to the mode of division (proliferative, or neurogenic) and may be time-varying. The model outputs are successfully fitted to experimental cell numbers from mouse embryos at different stages of cortical development, taking into account IPs and neurons, in order to adjust the numerical parameters. We provide additional information on cell kinetics, such as the mitotic and S phase indexes, and neurogenic fraction. CONCLUSIONS: Applying the model to a mouse mutant for Ftm/Rpgrip1l, a gene involved in human ciliopathies with severe brain abnormalities, reveals a shortening of the neurogenic period associated with an increased influx of newborn IPs from apical progenitors at mid-neurogenesis. Our model can be used to study other mouse mutants with cortical neurogenesis defects and can be adapted to study the importance of progenitor dynamics in cortical evolution and human diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3018-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-14 /pmc/articles/PMC6744691/ /pubmed/31521111 http://dx.doi.org/10.1186/s12859-019-3018-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Postel, Marie Karam, Alice Pézeron, Guillaume Schneider-Maunoury, Sylvie Clément, Frédérique A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title | A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title_full | A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title_fullStr | A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title_full_unstemmed | A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title_short | A multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
title_sort | multiscale mathematical model of cell dynamics during neurogenesis in the mouse cerebral cortex |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6744691/ https://www.ncbi.nlm.nih.gov/pubmed/31521111 http://dx.doi.org/10.1186/s12859-019-3018-8 |
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