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Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures
BACKGROUND: Senescent cells are undesirable in cell therapy products due to reduced therapeutic activity and risk of aberrant cellular effects, and methods for assessing senescence are needed. Early-passage mesenchymal stromal cells (MSCs) are known to be small and spindle-shaped but become enlarged...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763576/ https://www.ncbi.nlm.nih.gov/pubmed/29321040 http://dx.doi.org/10.1186/s13287-017-0740-x |
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author | Oja, S. Komulainen, P. Penttilä, A. Nystedt, J. Korhonen, M. |
author_facet | Oja, S. Komulainen, P. Penttilä, A. Nystedt, J. Korhonen, M. |
author_sort | Oja, S. |
collection | PubMed |
description | BACKGROUND: Senescent cells are undesirable in cell therapy products due to reduced therapeutic activity and risk of aberrant cellular effects, and methods for assessing senescence are needed. Early-passage mesenchymal stromal cells (MSCs) are known to be small and spindle-shaped but become enlarged upon cell aging. Indeed, cell morphology is routinely evaluated during MSC production using subjective methods. We have therefore explored the possibility of utilizing automated imaging-based analysis of cell morphology in clinical cell manufacturing. METHODS: An imaging system was adopted for analyzing changes in cell morphology of bone marrow-derived MSCs during long-term culture. Cells taken from the cultures at the desired passages were plated at low density for imaging, representing morphological changes observed in the clinical-grade cultures. The manifestations of aging and onset of senescence were monitored by population doubling numbers, expression of p16(INK4a) and p21(Cip1/Waf1), β-galactosidase activity, and telomeric terminal restriction fragment analysis. RESULTS: Cell area was the most statistically significant and practical parameter for describing morphological changes, correlating with biochemical senescence markers. MSCs from passages 1 (p1) and 3 (p3) were remarkably uniform in size, with cell areas between 1800 and 2500 μm(2). At p5 the cells began to enlarge resulting in a 4.8-fold increase at p6–9 as compared to p1. The expression of p16(INK4a) and activity of β-galactosidase had a strong correlation with the increase in cell area, whereas the expression of p21(Cip1/Waf1) reached its maximum at the onset of growth arrest and subsequently decreased. Mean telomere length shortened at an apparently constant rate during culture, from 8.2 ± 0.3 kbp at p1, reaching 6.08 ± 0.6 kbp at senescence. CONCLUSIONS: Imaging analysis of cell morphology is a useful tool for evaluating aging in cell cultures throughout the lifespan of MSCs. Our findings suggest that imaging analysis can reproducibly detect aging-related changes in cell morphology in MSC cultures. These findings suggest that cell morphology is still a supreme measure of cell quality and may be utilized to develop new noninvasive imaging-based methods to screen and quantitate aging in clinical-grade cell cultures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-017-0740-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5763576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57635762018-01-17 Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures Oja, S. Komulainen, P. Penttilä, A. Nystedt, J. Korhonen, M. Stem Cell Res Ther Research BACKGROUND: Senescent cells are undesirable in cell therapy products due to reduced therapeutic activity and risk of aberrant cellular effects, and methods for assessing senescence are needed. Early-passage mesenchymal stromal cells (MSCs) are known to be small and spindle-shaped but become enlarged upon cell aging. Indeed, cell morphology is routinely evaluated during MSC production using subjective methods. We have therefore explored the possibility of utilizing automated imaging-based analysis of cell morphology in clinical cell manufacturing. METHODS: An imaging system was adopted for analyzing changes in cell morphology of bone marrow-derived MSCs during long-term culture. Cells taken from the cultures at the desired passages were plated at low density for imaging, representing morphological changes observed in the clinical-grade cultures. The manifestations of aging and onset of senescence were monitored by population doubling numbers, expression of p16(INK4a) and p21(Cip1/Waf1), β-galactosidase activity, and telomeric terminal restriction fragment analysis. RESULTS: Cell area was the most statistically significant and practical parameter for describing morphological changes, correlating with biochemical senescence markers. MSCs from passages 1 (p1) and 3 (p3) were remarkably uniform in size, with cell areas between 1800 and 2500 μm(2). At p5 the cells began to enlarge resulting in a 4.8-fold increase at p6–9 as compared to p1. The expression of p16(INK4a) and activity of β-galactosidase had a strong correlation with the increase in cell area, whereas the expression of p21(Cip1/Waf1) reached its maximum at the onset of growth arrest and subsequently decreased. Mean telomere length shortened at an apparently constant rate during culture, from 8.2 ± 0.3 kbp at p1, reaching 6.08 ± 0.6 kbp at senescence. CONCLUSIONS: Imaging analysis of cell morphology is a useful tool for evaluating aging in cell cultures throughout the lifespan of MSCs. Our findings suggest that imaging analysis can reproducibly detect aging-related changes in cell morphology in MSC cultures. These findings suggest that cell morphology is still a supreme measure of cell quality and may be utilized to develop new noninvasive imaging-based methods to screen and quantitate aging in clinical-grade cell cultures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-017-0740-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-10 /pmc/articles/PMC5763576/ /pubmed/29321040 http://dx.doi.org/10.1186/s13287-017-0740-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Oja, S. Komulainen, P. Penttilä, A. Nystedt, J. Korhonen, M. Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title | Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title_full | Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title_fullStr | Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title_full_unstemmed | Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title_short | Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
title_sort | automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763576/ https://www.ncbi.nlm.nih.gov/pubmed/29321040 http://dx.doi.org/10.1186/s13287-017-0740-x |
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