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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...

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Autores principales: Oja, S., Komulainen, P., Penttilä, A., Nystedt, J., Korhonen, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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.
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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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