Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis
Abstract 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-laps...
Guardado en:
Autores principales: | , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1d3b0eea7c2b4bea94b00830e6e0e51d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:1d3b0eea7c2b4bea94b00830e6e0e51d |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:1d3b0eea7c2b4bea94b00830e6e0e51d2021-12-02T16:08:12ZDynamics of single human embryonic stem cells and their pairs: a quantitative analysis10.1038/s41598-017-00648-02045-2322https://doaj.org/article/1d3b0eea7c2b4bea94b00830e6e0e51d2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00648-0https://doaj.org/toc/2045-2322Abstract 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.L. E. WadkinL. F. ElliotI. NeganovaN. G. ParkerV. ChichagovaG. SwanA. LaudeM. LakoA. ShukurovNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine R Science Q |
spellingShingle |
Medicine R Science Q L. E. Wadkin L. F. Elliot I. Neganova N. G. Parker V. Chichagova G. Swan A. Laude M. Lako A. Shukurov Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
description |
Abstract 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 |
article |
author |
L. E. Wadkin L. F. Elliot I. Neganova N. G. Parker V. Chichagova G. Swan A. Laude M. Lako A. Shukurov |
author_facet |
L. E. Wadkin L. F. Elliot I. Neganova N. G. Parker V. Chichagova G. Swan A. Laude M. Lako A. Shukurov |
author_sort |
L. E. Wadkin |
title |
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_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_sort |
dynamics of single human embryonic stem cells and their pairs: a quantitative analysis |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/1d3b0eea7c2b4bea94b00830e6e0e51d |
work_keys_str_mv |
AT lewadkin dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT lfelliot dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT ineganova dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT ngparker dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT vchichagova dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT gswan dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT alaude dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT mlako dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis AT ashukurov dynamicsofsinglehumanembryonicstemcellsandtheirpairsaquantitativeanalysis |
_version_ |
1718384580613898240 |