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A mathematical insight into cell labelling experiments for clonal analysis
Studying the progression of the proliferative and differentiative patterns of neural stem cells at the individual cell level is crucial to the understanding of cortex development and how the disruption of such patterns can lead to malformations and neurodevelopmental diseases. However, our understan...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704238/ https://www.ncbi.nlm.nih.gov/pubmed/31173344 http://dx.doi.org/10.1111/joa.13001 |
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author | Picco, Noemi Hippenmeyer, Simon Rodarte, Julio Streicher, Carmen Molnár, Zoltán Maini, Philip K. Woolley, Thomas E. |
author_facet | Picco, Noemi Hippenmeyer, Simon Rodarte, Julio Streicher, Carmen Molnár, Zoltán Maini, Philip K. Woolley, Thomas E. |
author_sort | Picco, Noemi |
collection | PubMed |
description | Studying the progression of the proliferative and differentiative patterns of neural stem cells at the individual cell level is crucial to the understanding of cortex development and how the disruption of such patterns can lead to malformations and neurodevelopmental diseases. However, our understanding of the precise lineage progression programme at single‐cell resolution is still incomplete due to the technical variations in lineage‐tracing approaches. One of the key challenges involves developing a robust theoretical framework in which we can integrate experimental observations and introduce correction factors to obtain a reliable and representative description of the temporal modulation of proliferation and differentiation. In order to obtain more conclusive insights, we carry out virtual clonal analysis using mathematical modelling and compare our results against experimental data. Using a dataset obtained with Mosaic Analysis with Double Markers, we illustrate how the theoretical description can be exploited to interpret and reconcile the disparity between virtual and experimental results. |
format | Online Article Text |
id | pubmed-6704238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67042382019-08-26 A mathematical insight into cell labelling experiments for clonal analysis Picco, Noemi Hippenmeyer, Simon Rodarte, Julio Streicher, Carmen Molnár, Zoltán Maini, Philip K. Woolley, Thomas E. J Anat Original Articles Studying the progression of the proliferative and differentiative patterns of neural stem cells at the individual cell level is crucial to the understanding of cortex development and how the disruption of such patterns can lead to malformations and neurodevelopmental diseases. However, our understanding of the precise lineage progression programme at single‐cell resolution is still incomplete due to the technical variations in lineage‐tracing approaches. One of the key challenges involves developing a robust theoretical framework in which we can integrate experimental observations and introduce correction factors to obtain a reliable and representative description of the temporal modulation of proliferation and differentiation. In order to obtain more conclusive insights, we carry out virtual clonal analysis using mathematical modelling and compare our results against experimental data. Using a dataset obtained with Mosaic Analysis with Double Markers, we illustrate how the theoretical description can be exploited to interpret and reconcile the disparity between virtual and experimental results. John Wiley and Sons Inc. 2019-06-07 2019-09 /pmc/articles/PMC6704238/ /pubmed/31173344 http://dx.doi.org/10.1111/joa.13001 Text en © 2019 The Authors. Journal of Anatomy published by John Wiley & Sons Ltd on behalf of Anatomical Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Picco, Noemi Hippenmeyer, Simon Rodarte, Julio Streicher, Carmen Molnár, Zoltán Maini, Philip K. Woolley, Thomas E. A mathematical insight into cell labelling experiments for clonal analysis |
title | A mathematical insight into cell labelling experiments for clonal analysis |
title_full | A mathematical insight into cell labelling experiments for clonal analysis |
title_fullStr | A mathematical insight into cell labelling experiments for clonal analysis |
title_full_unstemmed | A mathematical insight into cell labelling experiments for clonal analysis |
title_short | A mathematical insight into cell labelling experiments for clonal analysis |
title_sort | mathematical insight into cell labelling experiments for clonal analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704238/ https://www.ncbi.nlm.nih.gov/pubmed/31173344 http://dx.doi.org/10.1111/joa.13001 |
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