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Regional biomechanical imaging of liver cancer cells
Liver cancer is one of the leading cancers, especially in developing countries. Understanding the biomechanical properties of the liver cancer cells can not only help to elucidate the mechanisms behind the cancer progression, but also provide important information for diagnosis and treatment. At the...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746127/ https://www.ncbi.nlm.nih.gov/pubmed/31528212 http://dx.doi.org/10.7150/jca.32985 |
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author | Pei, Weiwei Chen, Jiayao Wang, Chao Qiu, Suhao Zeng, Jianfeng Gao, Mingyuan Zhou, Bin Li, Dan Sacks, Michael S. Han, Lin Shan, Hong Hu, Wentao Feng, Yuan Zhou, Guangming |
author_facet | Pei, Weiwei Chen, Jiayao Wang, Chao Qiu, Suhao Zeng, Jianfeng Gao, Mingyuan Zhou, Bin Li, Dan Sacks, Michael S. Han, Lin Shan, Hong Hu, Wentao Feng, Yuan Zhou, Guangming |
author_sort | Pei, Weiwei |
collection | PubMed |
description | Liver cancer is one of the leading cancers, especially in developing countries. Understanding the biomechanical properties of the liver cancer cells can not only help to elucidate the mechanisms behind the cancer progression, but also provide important information for diagnosis and treatment. At the cellular level, we used well-established atomic force microscopy (AFM) techniques to characterize the heterogeneity of mechanical properties of two different types of human liver cancer cells and a normal liver cell line. Stiffness maps with a resolution of 128x128 were acquired for each cell. The distributions of the indentation moduli of the cells showed significant differences between cancerous cells and healthy controls. Significantly, the variability was even greater amongst different types of cancerous cells. Fitting of the histogram of the effective moduli using a normal distribution function showed the Bel7402 cells were stiffer than the normal cells while HepG2 cells were softer. Morphological analysis of the cell structures also showed a higher cytoskeleton content among the cancerous cells. Results provided a foundation for applying knowledge of cell stiffness heterogeneity to search for tissue-level, early-stage indicators of liver cancer. |
format | Online Article Text |
id | pubmed-6746127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-67461272019-09-16 Regional biomechanical imaging of liver cancer cells Pei, Weiwei Chen, Jiayao Wang, Chao Qiu, Suhao Zeng, Jianfeng Gao, Mingyuan Zhou, Bin Li, Dan Sacks, Michael S. Han, Lin Shan, Hong Hu, Wentao Feng, Yuan Zhou, Guangming J Cancer Research Paper Liver cancer is one of the leading cancers, especially in developing countries. Understanding the biomechanical properties of the liver cancer cells can not only help to elucidate the mechanisms behind the cancer progression, but also provide important information for diagnosis and treatment. At the cellular level, we used well-established atomic force microscopy (AFM) techniques to characterize the heterogeneity of mechanical properties of two different types of human liver cancer cells and a normal liver cell line. Stiffness maps with a resolution of 128x128 were acquired for each cell. The distributions of the indentation moduli of the cells showed significant differences between cancerous cells and healthy controls. Significantly, the variability was even greater amongst different types of cancerous cells. Fitting of the histogram of the effective moduli using a normal distribution function showed the Bel7402 cells were stiffer than the normal cells while HepG2 cells were softer. Morphological analysis of the cell structures also showed a higher cytoskeleton content among the cancerous cells. Results provided a foundation for applying knowledge of cell stiffness heterogeneity to search for tissue-level, early-stage indicators of liver cancer. Ivyspring International Publisher 2019-07-25 /pmc/articles/PMC6746127/ /pubmed/31528212 http://dx.doi.org/10.7150/jca.32985 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Pei, Weiwei Chen, Jiayao Wang, Chao Qiu, Suhao Zeng, Jianfeng Gao, Mingyuan Zhou, Bin Li, Dan Sacks, Michael S. Han, Lin Shan, Hong Hu, Wentao Feng, Yuan Zhou, Guangming Regional biomechanical imaging of liver cancer cells |
title | Regional biomechanical imaging of liver cancer cells |
title_full | Regional biomechanical imaging of liver cancer cells |
title_fullStr | Regional biomechanical imaging of liver cancer cells |
title_full_unstemmed | Regional biomechanical imaging of liver cancer cells |
title_short | Regional biomechanical imaging of liver cancer cells |
title_sort | regional biomechanical imaging of liver cancer cells |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746127/ https://www.ncbi.nlm.nih.gov/pubmed/31528212 http://dx.doi.org/10.7150/jca.32985 |
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