Cargando…
Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions
The mammosphere assay has become widely employed to quantify stem-like cells in a population. However, the problem is there is no standard protocol employed by the field. Cell seeding densities of 1,000 to 100,000 cells/mL have been reported. These high densities lead to cellular aggregation. To add...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170521/ https://www.ncbi.nlm.nih.gov/pubmed/30268511 http://dx.doi.org/10.1016/j.isci.2018.08.015 |
_version_ | 1783360663831183360 |
---|---|
author | Bailey, Patrick C. Lee, Rachel M. Vitolo, Michele I. Pratt, Stephen J.P. Ory, Eleanor Chakrabarti, Kristi Lee, Cornell J. Thompson, Keyata N. Martin, Stuart S. |
author_facet | Bailey, Patrick C. Lee, Rachel M. Vitolo, Michele I. Pratt, Stephen J.P. Ory, Eleanor Chakrabarti, Kristi Lee, Cornell J. Thompson, Keyata N. Martin, Stuart S. |
author_sort | Bailey, Patrick C. |
collection | PubMed |
description | The mammosphere assay has become widely employed to quantify stem-like cells in a population. However, the problem is there is no standard protocol employed by the field. Cell seeding densities of 1,000 to 100,000 cells/mL have been reported. These high densities lead to cellular aggregation. To address this, we have individually tracked 1,127 single MCF-7 and 696 single T47D human breast tumor cells by eye over the course of 14 days. This tracking has given us detailed information for the commonly used endpoints of 5, 7, and 14 days that is unclouded by cellular aggregation. This includes mean sphere sizes, sphere-forming efficiencies, and a well-defined minimum size for both lines. Importantly, we have correlated early cell division with eventual sphere formation. At 24 hr post seeding, we can predict the total spheres on day 14 with 98% accuracy in both lines. This approach removes cell aggregation and potentially shortens a 5- to 14-day assay to a 24 hours. |
format | Online Article Text |
id | pubmed-6170521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61705212018-10-05 Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions Bailey, Patrick C. Lee, Rachel M. Vitolo, Michele I. Pratt, Stephen J.P. Ory, Eleanor Chakrabarti, Kristi Lee, Cornell J. Thompson, Keyata N. Martin, Stuart S. iScience Article The mammosphere assay has become widely employed to quantify stem-like cells in a population. However, the problem is there is no standard protocol employed by the field. Cell seeding densities of 1,000 to 100,000 cells/mL have been reported. These high densities lead to cellular aggregation. To address this, we have individually tracked 1,127 single MCF-7 and 696 single T47D human breast tumor cells by eye over the course of 14 days. This tracking has given us detailed information for the commonly used endpoints of 5, 7, and 14 days that is unclouded by cellular aggregation. This includes mean sphere sizes, sphere-forming efficiencies, and a well-defined minimum size for both lines. Importantly, we have correlated early cell division with eventual sphere formation. At 24 hr post seeding, we can predict the total spheres on day 14 with 98% accuracy in both lines. This approach removes cell aggregation and potentially shortens a 5- to 14-day assay to a 24 hours. Elsevier 2018-08-21 /pmc/articles/PMC6170521/ /pubmed/30268511 http://dx.doi.org/10.1016/j.isci.2018.08.015 Text en © 2018. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Bailey, Patrick C. Lee, Rachel M. Vitolo, Michele I. Pratt, Stephen J.P. Ory, Eleanor Chakrabarti, Kristi Lee, Cornell J. Thompson, Keyata N. Martin, Stuart S. Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title | Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title_full | Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title_fullStr | Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title_full_unstemmed | Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title_short | Single-Cell Tracking of Breast Cancer Cells Enables Prediction of Sphere Formation from Early Cell Divisions |
title_sort | single-cell tracking of breast cancer cells enables prediction of sphere formation from early cell divisions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6170521/ https://www.ncbi.nlm.nih.gov/pubmed/30268511 http://dx.doi.org/10.1016/j.isci.2018.08.015 |
work_keys_str_mv | AT baileypatrickc singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT leerachelm singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT vitolomichelei singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT prattstephenjp singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT oryeleanor singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT chakrabartikristi singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT leecornellj singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT thompsonkeyatan singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions AT martinstuarts singlecelltrackingofbreastcancercellsenablespredictionofsphereformationfromearlycelldivisions |