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A mathematical insight Into cell labelling experiments for clonal analysis

Picco, Noemi, Hippenmeyer, Simon, Woolley, Thomas, Rodarte, Julio, Streicher, Carmen, Molnar, Zoltan and Maini, Philip K. 2019. A mathematical insight Into cell labelling experiments for clonal analysis. Journal of Anatomy
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Abstract

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 program 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.

Item Type: Article
Status: In Press
Schools: Mathematics
Subjects: Q Science > QA Mathematics
Q Science > QM Human anatomy
Q Science > QP Physiology
Publisher: Wiley
ISSN: 0021-8782
Date of First Compliant Deposit: 2 April 2019
Date of Acceptance: 21 March 2019
Last Modified: 02 Apr 2019 10:00
URI: http://orca.cf.ac.uk/id/eprint/121088

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