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Cell motion predicts human epidermal stemness

Image-based identification of cultured stem cells and noninvasive evaluation of their proliferative capacity advance cell therapy and stem cell research. Here we demonstrate that human keratinocyte stem cells can be identified in situ by analyzing cell motion during their cultivation. Modeling exper...

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Autores principales: Nanba, Daisuke, Toki, Fujio, Tate, Sota, Imai, Matome, Matsushita, Natsuki, Shiraishi, Ken, Sayama, Koji, Toki, Hiroshi, Higashiyama, Shigeki, Barrandon, Yann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Rockefeller University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411274/
https://www.ncbi.nlm.nih.gov/pubmed/25897083
http://dx.doi.org/10.1083/jcb.201409024
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author Nanba, Daisuke
Toki, Fujio
Tate, Sota
Imai, Matome
Matsushita, Natsuki
Shiraishi, Ken
Sayama, Koji
Toki, Hiroshi
Higashiyama, Shigeki
Barrandon, Yann
author_facet Nanba, Daisuke
Toki, Fujio
Tate, Sota
Imai, Matome
Matsushita, Natsuki
Shiraishi, Ken
Sayama, Koji
Toki, Hiroshi
Higashiyama, Shigeki
Barrandon, Yann
author_sort Nanba, Daisuke
collection PubMed
description Image-based identification of cultured stem cells and noninvasive evaluation of their proliferative capacity advance cell therapy and stem cell research. Here we demonstrate that human keratinocyte stem cells can be identified in situ by analyzing cell motion during their cultivation. Modeling experiments suggested that the clonal type of cultured human clonogenic keratinocytes can be efficiently determined by analysis of early cell movement. Image analysis experiments demonstrated that keratinocyte stem cells indeed display a unique rotational movement that can be identified as early as the two-cell stage colony. We also demonstrate that α6 integrin is required for both rotational and collective cell motion. Our experiments provide, for the first time, strong evidence that cell motion and epidermal stemness are linked. We conclude that early identification of human keratinocyte stem cells by image analysis of cell movement is a valid parameter for quality control of cultured keratinocytes for transplantation.
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spelling pubmed-44112742015-10-27 Cell motion predicts human epidermal stemness Nanba, Daisuke Toki, Fujio Tate, Sota Imai, Matome Matsushita, Natsuki Shiraishi, Ken Sayama, Koji Toki, Hiroshi Higashiyama, Shigeki Barrandon, Yann J Cell Biol Research Articles Image-based identification of cultured stem cells and noninvasive evaluation of their proliferative capacity advance cell therapy and stem cell research. Here we demonstrate that human keratinocyte stem cells can be identified in situ by analyzing cell motion during their cultivation. Modeling experiments suggested that the clonal type of cultured human clonogenic keratinocytes can be efficiently determined by analysis of early cell movement. Image analysis experiments demonstrated that keratinocyte stem cells indeed display a unique rotational movement that can be identified as early as the two-cell stage colony. We also demonstrate that α6 integrin is required for both rotational and collective cell motion. Our experiments provide, for the first time, strong evidence that cell motion and epidermal stemness are linked. We conclude that early identification of human keratinocyte stem cells by image analysis of cell movement is a valid parameter for quality control of cultured keratinocytes for transplantation. The Rockefeller University Press 2015-04-27 /pmc/articles/PMC4411274/ /pubmed/25897083 http://dx.doi.org/10.1083/jcb.201409024 Text en © 2015 Nanba et al. This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Research Articles
Nanba, Daisuke
Toki, Fujio
Tate, Sota
Imai, Matome
Matsushita, Natsuki
Shiraishi, Ken
Sayama, Koji
Toki, Hiroshi
Higashiyama, Shigeki
Barrandon, Yann
Cell motion predicts human epidermal stemness
title Cell motion predicts human epidermal stemness
title_full Cell motion predicts human epidermal stemness
title_fullStr Cell motion predicts human epidermal stemness
title_full_unstemmed Cell motion predicts human epidermal stemness
title_short Cell motion predicts human epidermal stemness
title_sort cell motion predicts human epidermal stemness
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411274/
https://www.ncbi.nlm.nih.gov/pubmed/25897083
http://dx.doi.org/10.1083/jcb.201409024
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