TY - JOUR
T1 - Gene expression profiles of liver cancer cell lines reveal two hepatocyte-like and fibroblast-like clusters
AU - Fukuyama, Keita
AU - Asagiri, Masataka
AU - Sugimoto, Masahiro
AU - Tsushima, Hiraki
AU - Seo, Satoru
AU - Taura, Kojiro
AU - Uemoto, Shinji
AU - Iwaisako, Keiko
N1 - Publisher Copyright:
© 2021 Public Library of Science. All rights reserved.
PY - 2021/2
Y1 - 2021/2
N2 - Cancer cell lines are widely used in basic research to study cancer development, growth, invasion, or metastasis. They are also used for the development and screening of anticancer drugs. However, there are no clear criteria for choosing the most suitable cell lines among the wide variety of cancer cell lines commercially available for research, and the choice is often based on previously published reports. Here, we investigated the characteristics of liver cancer cell lines by analyzing the gene expression data available in the Cancer Cell Line Encyclopedia. Unsupervised clustering analysis of 28 liver cancer cell lines yielded two main clusters. One cluster showed a gene expression pattern similar to that of hepatocytes, and the other showed a pattern similar to that of fibroblasts. Analysis of hepatocellular carcinoma gene expression profiles available in The Cancer Genome Atlas showed that the gene expression patterns in most hepatoma tissues were similar to those in the hepatocytelike cluster. With respect to liver cancer research, our findings may be useful for selecting an appropriate cell line for a specific study objective. Furthermore, our approach of utilizing a public database for comparing the properties of cell lines could be an attractive cell line selection strategy that can be applied to other fields of research.
AB - Cancer cell lines are widely used in basic research to study cancer development, growth, invasion, or metastasis. They are also used for the development and screening of anticancer drugs. However, there are no clear criteria for choosing the most suitable cell lines among the wide variety of cancer cell lines commercially available for research, and the choice is often based on previously published reports. Here, we investigated the characteristics of liver cancer cell lines by analyzing the gene expression data available in the Cancer Cell Line Encyclopedia. Unsupervised clustering analysis of 28 liver cancer cell lines yielded two main clusters. One cluster showed a gene expression pattern similar to that of hepatocytes, and the other showed a pattern similar to that of fibroblasts. Analysis of hepatocellular carcinoma gene expression profiles available in The Cancer Genome Atlas showed that the gene expression patterns in most hepatoma tissues were similar to those in the hepatocytelike cluster. With respect to liver cancer research, our findings may be useful for selecting an appropriate cell line for a specific study objective. Furthermore, our approach of utilizing a public database for comparing the properties of cell lines could be an attractive cell line selection strategy that can be applied to other fields of research.
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U2 - 10.1371/journal.pone.0245939
DO - 10.1371/journal.pone.0245939
M3 - Article
C2 - 33539378
AN - SCOPUS:85100576608
SN - 1932-6203
VL - 16
JO - PLoS One
JF - PLoS One
IS - 2 February
M1 - e0245939
ER -