The recent advances in the mathematical modelling of human pluripotent stem cells

Human pluripotent stem cells hold great promise for developments in regenerative medicine and drug design. The mathematical modelling of stem cells and their properties is necessary to understand and quantify key behaviours and develop non-invasive prognostic modelling tools to assist in the optimis...

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Detalles Bibliográficos
Autores principales: Wadkin, L. E., Orozco-Fuentes, S., Neganova, I., Lako, M., Shukurov, A., Parker, N. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Review Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391994/
https://www.ncbi.nlm.nih.gov/pubmed/32803125
http://dx.doi.org/10.1007/s42452-020-2070-3
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author Wadkin, L. E.
Orozco-Fuentes, S.
Neganova, I.
Lako, M.
Shukurov, A.
Parker, N. G.
author_facet Wadkin, L. E.
Orozco-Fuentes, S.
Neganova, I.
Lako, M.
Shukurov, A.
Parker, N. G.
author_sort Wadkin, L. E.
collection PubMed
description Human pluripotent stem cells hold great promise for developments in regenerative medicine and drug design. The mathematical modelling of stem cells and their properties is necessary to understand and quantify key behaviours and develop non-invasive prognostic modelling tools to assist in the optimisation of laboratory experiments. Here, the recent advances in the mathematical modelling of hPSCs are discussed, including cell kinematics, cell proliferation and colony formation, and pluripotency and differentiation.
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spelling pubmed-73919942020-08-12 The recent advances in the mathematical modelling of human pluripotent stem cells Wadkin, L. E. Orozco-Fuentes, S. Neganova, I. Lako, M. Shukurov, A. Parker, N. G. SN Appl Sci Review Paper Human pluripotent stem cells hold great promise for developments in regenerative medicine and drug design. The mathematical modelling of stem cells and their properties is necessary to understand and quantify key behaviours and develop non-invasive prognostic modelling tools to assist in the optimisation of laboratory experiments. Here, the recent advances in the mathematical modelling of hPSCs are discussed, including cell kinematics, cell proliferation and colony formation, and pluripotency and differentiation. Springer International Publishing 2020-01-27 2020 /pmc/articles/PMC7391994/ /pubmed/32803125 http://dx.doi.org/10.1007/s42452-020-2070-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review Paper
Wadkin, L. E.
Orozco-Fuentes, S.
Neganova, I.
Lako, M.
Shukurov, A.
Parker, N. G.
The recent advances in the mathematical modelling of human pluripotent stem cells
title The recent advances in the mathematical modelling of human pluripotent stem cells
title_full The recent advances in the mathematical modelling of human pluripotent stem cells
title_fullStr The recent advances in the mathematical modelling of human pluripotent stem cells
title_full_unstemmed The recent advances in the mathematical modelling of human pluripotent stem cells
title_short The recent advances in the mathematical modelling of human pluripotent stem cells
title_sort recent advances in the mathematical modelling of human pluripotent stem cells
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391994/
https://www.ncbi.nlm.nih.gov/pubmed/32803125
http://dx.doi.org/10.1007/s42452-020-2070-3
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