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Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples
Single-cell electrical phenotyping (e.g., specific membrane capacitance (C(m)) and cytoplasm conductivity (σ(p))) has long been regarded as potential label-free biophysical markers in tumor status evaluation. However, previous studies only reported the differentiation of tumor cell lines without cla...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725910/ https://www.ncbi.nlm.nih.gov/pubmed/26766416 http://dx.doi.org/10.1038/srep19487 |
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author | Zhao, Yang Jiang, Mei Chen, Deyong Zhao, Xiaoting Xue, Chengcheng Hao, Rui Yue, Wentao Wang, Junbo Chen, Jian |
author_facet | Zhao, Yang Jiang, Mei Chen, Deyong Zhao, Xiaoting Xue, Chengcheng Hao, Rui Yue, Wentao Wang, Junbo Chen, Jian |
author_sort | Zhao, Yang |
collection | PubMed |
description | Single-cell electrical phenotyping (e.g., specific membrane capacitance (C(m)) and cytoplasm conductivity (σ(p))) has long been regarded as potential label-free biophysical markers in tumor status evaluation. However, previous studies only reported the differentiation of tumor cell lines without classifying real tumor samples using cellular electrical properties. In this study, two types of mouse tumor models were constructed by injecting two types of tumor cell lines (A549 and H1299), respectively. Then tumor portions were retrieved for immunohistochemistry studies and single-cell electrical phenotyping based on home-developed microfluidic platforms. Immunohistochemistry results of tumor samples confirmed the adenocarcinoma and large-cell carcinoma characteristics for A549 and H1299 based tumor samples, respectively. Meanwhile, cellular C(m) and σ(p) were characterized as 2.25 ± 0.50 μF/cm(2) and 0.96 ± 0.20 S/m for A549 based tumor samples (n(cell) = 1336, Mouse I, II, III) and 1.76 ± 0.54 μF/cm(2) and 1.35 ± 0.28 S/m for H1299 based tumor samples (n(cell) = 1442, Mouse IV, V, VI). Significant differences in C(m) and σ(p) were observed between these two types of tumor samples, validating the feasibility of using C(m) and σ(p) for mouse tumor classification. |
format | Online Article Text |
id | pubmed-4725910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47259102016-01-28 Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples Zhao, Yang Jiang, Mei Chen, Deyong Zhao, Xiaoting Xue, Chengcheng Hao, Rui Yue, Wentao Wang, Junbo Chen, Jian Sci Rep Article Single-cell electrical phenotyping (e.g., specific membrane capacitance (C(m)) and cytoplasm conductivity (σ(p))) has long been regarded as potential label-free biophysical markers in tumor status evaluation. However, previous studies only reported the differentiation of tumor cell lines without classifying real tumor samples using cellular electrical properties. In this study, two types of mouse tumor models were constructed by injecting two types of tumor cell lines (A549 and H1299), respectively. Then tumor portions were retrieved for immunohistochemistry studies and single-cell electrical phenotyping based on home-developed microfluidic platforms. Immunohistochemistry results of tumor samples confirmed the adenocarcinoma and large-cell carcinoma characteristics for A549 and H1299 based tumor samples, respectively. Meanwhile, cellular C(m) and σ(p) were characterized as 2.25 ± 0.50 μF/cm(2) and 0.96 ± 0.20 S/m for A549 based tumor samples (n(cell) = 1336, Mouse I, II, III) and 1.76 ± 0.54 μF/cm(2) and 1.35 ± 0.28 S/m for H1299 based tumor samples (n(cell) = 1442, Mouse IV, V, VI). Significant differences in C(m) and σ(p) were observed between these two types of tumor samples, validating the feasibility of using C(m) and σ(p) for mouse tumor classification. Nature Publishing Group 2016-01-14 /pmc/articles/PMC4725910/ /pubmed/26766416 http://dx.doi.org/10.1038/srep19487 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhao, Yang Jiang, Mei Chen, Deyong Zhao, Xiaoting Xue, Chengcheng Hao, Rui Yue, Wentao Wang, Junbo Chen, Jian Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title | Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title_full | Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title_fullStr | Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title_full_unstemmed | Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title_short | Single-Cell Electrical Phenotyping Enabling the Classification of Mouse Tumor Samples |
title_sort | single-cell electrical phenotyping enabling the classification of mouse tumor samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4725910/ https://www.ncbi.nlm.nih.gov/pubmed/26766416 http://dx.doi.org/10.1038/srep19487 |
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