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Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis
Numerous biological approaches are available to characterise the mechanisms which govern the formation of human embryonic stem cell (hESC) colonies. To understand how the kinematics of single and pairs of hESCs impact colony formation, we study their mobility characteristics using time-lapse imaging...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428844/ https://www.ncbi.nlm.nih.gov/pubmed/28373677 http://dx.doi.org/10.1038/s41598-017-00648-0 |
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author | Wadkin, L. E. Elliot, L. F. Neganova, I. Parker, N. G. Chichagova, V. Swan, G. Laude, A. Lako, M. Shukurov, A. |
author_facet | Wadkin, L. E. Elliot, L. F. Neganova, I. Parker, N. G. Chichagova, V. Swan, G. Laude, A. Lako, M. Shukurov, A. |
author_sort | Wadkin, L. E. |
collection | PubMed |
description | Numerous biological approaches are available to characterise the mechanisms which govern the formation of human embryonic stem cell (hESC) colonies. To understand how the kinematics of single and pairs of hESCs impact colony formation, we study their mobility characteristics using time-lapse imaging. We perform a detailed statistical analysis of their speed, survival, directionality, distance travelled and diffusivity. We confirm that single and pairs of cells migrate as a diffusive random walk for at least 7 hours of evolution. We show that the presence of Cell Tracer significantly reduces hESC mobility. Our results open the path to employ the theoretical framework of the diffusive random walk for the prognostic modelling and optimisation of the growth of hESC colonies. Indeed, we employ this random walk model to estimate the seeding density required to minimise the occurrence of hESC colonies arising from more than one founder cell and the minimal cell number needed for successful colony formation. Our prognostic model can be extended to investigate the kinematic behaviour of somatic cells emerging from hESC differentiation and to enable its wide application in phenotyping of pluripotent stem cells for large scale stem cell culture expansion and differentiation platforms. |
format | Online Article Text |
id | pubmed-5428844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54288442017-05-15 Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis Wadkin, L. E. Elliot, L. F. Neganova, I. Parker, N. G. Chichagova, V. Swan, G. Laude, A. Lako, M. Shukurov, A. Sci Rep Article Numerous biological approaches are available to characterise the mechanisms which govern the formation of human embryonic stem cell (hESC) colonies. To understand how the kinematics of single and pairs of hESCs impact colony formation, we study their mobility characteristics using time-lapse imaging. We perform a detailed statistical analysis of their speed, survival, directionality, distance travelled and diffusivity. We confirm that single and pairs of cells migrate as a diffusive random walk for at least 7 hours of evolution. We show that the presence of Cell Tracer significantly reduces hESC mobility. Our results open the path to employ the theoretical framework of the diffusive random walk for the prognostic modelling and optimisation of the growth of hESC colonies. Indeed, we employ this random walk model to estimate the seeding density required to minimise the occurrence of hESC colonies arising from more than one founder cell and the minimal cell number needed for successful colony formation. Our prognostic model can be extended to investigate the kinematic behaviour of somatic cells emerging from hESC differentiation and to enable its wide application in phenotyping of pluripotent stem cells for large scale stem cell culture expansion and differentiation platforms. Nature Publishing Group UK 2017-04-03 /pmc/articles/PMC5428844/ /pubmed/28373677 http://dx.doi.org/10.1038/s41598-017-00648-0 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wadkin, L. E. Elliot, L. F. Neganova, I. Parker, N. G. Chichagova, V. Swan, G. Laude, A. Lako, M. Shukurov, A. Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title | Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title_full | Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title_fullStr | Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title_full_unstemmed | Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title_short | Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
title_sort | dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5428844/ https://www.ncbi.nlm.nih.gov/pubmed/28373677 http://dx.doi.org/10.1038/s41598-017-00648-0 |
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