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Visualizing Cell State Transition Using Raman Spectroscopy
System level understanding of the cell requires detailed description of the cell state, which is often characterized by the expression levels of proteins. However, understanding the cell state requires comprehensive information of the cell, which is usually obtained from a large number of cells and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883674/ https://www.ncbi.nlm.nih.gov/pubmed/24409302 http://dx.doi.org/10.1371/journal.pone.0084478 |
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author | Ichimura, Taro Chiu, Liang-da Fujita, Katsumasa Kawata, Satoshi Watanabe, Tomonobu M. Yanagida, Toshio Fujita, Hideaki |
author_facet | Ichimura, Taro Chiu, Liang-da Fujita, Katsumasa Kawata, Satoshi Watanabe, Tomonobu M. Yanagida, Toshio Fujita, Hideaki |
author_sort | Ichimura, Taro |
collection | PubMed |
description | System level understanding of the cell requires detailed description of the cell state, which is often characterized by the expression levels of proteins. However, understanding the cell state requires comprehensive information of the cell, which is usually obtained from a large number of cells and their disruption. In this study, we used Raman spectroscopy, which can report changes in the cell state without introducing any label, as a non-invasive method with single cell capability. Significant differences in Raman spectra were observed at the levels of both the cytosol and nucleus in different cell-lines from mouse, indicating that Raman spectra reflect differences in the cell state. Difference in cell state was observed before and after the induction of differentiation in neuroblastoma and adipocytes, showing that Raman spectra can detect subtle changes in the cell state. Cell state transitions during embryonic stem cell (ESC) differentiation were visualized when Raman spectroscopy was coupled with principal component analysis (PCA), which showed gradual transition in the cell states during differentiation. Detailed analysis showed that the diversity between cells are large in undifferentiated ESC and in mesenchymal stem cells compared with terminally differentiated cells, implying that the cell state in stem cells stochastically fluctuates during the self-renewal process. The present study strongly indicates that Raman spectral morphology, in combination with PCA, can be used to establish cells' fingerprints, which can be useful for distinguishing and identifying different cellular states. |
format | Online Article Text |
id | pubmed-3883674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38836742014-01-09 Visualizing Cell State Transition Using Raman Spectroscopy Ichimura, Taro Chiu, Liang-da Fujita, Katsumasa Kawata, Satoshi Watanabe, Tomonobu M. Yanagida, Toshio Fujita, Hideaki PLoS One Research Article System level understanding of the cell requires detailed description of the cell state, which is often characterized by the expression levels of proteins. However, understanding the cell state requires comprehensive information of the cell, which is usually obtained from a large number of cells and their disruption. In this study, we used Raman spectroscopy, which can report changes in the cell state without introducing any label, as a non-invasive method with single cell capability. Significant differences in Raman spectra were observed at the levels of both the cytosol and nucleus in different cell-lines from mouse, indicating that Raman spectra reflect differences in the cell state. Difference in cell state was observed before and after the induction of differentiation in neuroblastoma and adipocytes, showing that Raman spectra can detect subtle changes in the cell state. Cell state transitions during embryonic stem cell (ESC) differentiation were visualized when Raman spectroscopy was coupled with principal component analysis (PCA), which showed gradual transition in the cell states during differentiation. Detailed analysis showed that the diversity between cells are large in undifferentiated ESC and in mesenchymal stem cells compared with terminally differentiated cells, implying that the cell state in stem cells stochastically fluctuates during the self-renewal process. The present study strongly indicates that Raman spectral morphology, in combination with PCA, can be used to establish cells' fingerprints, which can be useful for distinguishing and identifying different cellular states. Public Library of Science 2014-01-07 /pmc/articles/PMC3883674/ /pubmed/24409302 http://dx.doi.org/10.1371/journal.pone.0084478 Text en © 2014 Ichimura et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Ichimura, Taro Chiu, Liang-da Fujita, Katsumasa Kawata, Satoshi Watanabe, Tomonobu M. Yanagida, Toshio Fujita, Hideaki Visualizing Cell State Transition Using Raman Spectroscopy |
title | Visualizing Cell State Transition Using Raman Spectroscopy |
title_full | Visualizing Cell State Transition Using Raman Spectroscopy |
title_fullStr | Visualizing Cell State Transition Using Raman Spectroscopy |
title_full_unstemmed | Visualizing Cell State Transition Using Raman Spectroscopy |
title_short | Visualizing Cell State Transition Using Raman Spectroscopy |
title_sort | visualizing cell state transition using raman spectroscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883674/ https://www.ncbi.nlm.nih.gov/pubmed/24409302 http://dx.doi.org/10.1371/journal.pone.0084478 |
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