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dc.contributor.authorFukuyama, Keitaen
dc.contributor.authorAsagiri, Masatakaen
dc.contributor.authorSugimoto, Masahiroen
dc.contributor.authorTsushima, Hirakien
dc.contributor.authorSeo, Satoruen
dc.contributor.authorTaura, Kojiroen
dc.contributor.authorUemoto, Shinjien
dc.contributor.authorIwaisako, Keikoen
dc.contributor.alternative福山, 啓太ja
dc.contributor.alternative瀬尾, 智ja
dc.contributor.alternative田浦, 康二朗ja
dc.contributor.alternative上本, 伸二ja
dc.contributor.alternative祝迫, 惠子ja
dc.date.accessioned2022-12-08T01:19:13Z-
dc.date.available2022-12-08T01:19:13Z-
dc.date.issued2021-02-
dc.identifier.urihttp://hdl.handle.net/2433/277676-
dc.description.abstractCancer 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 hepatocyte-like 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.en
dc.language.isoeng-
dc.publisherPublic Library of Science (PLoS)en
dc.rights© 2021 Fukuyama et al.en
dc.rightsThis 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 credited.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectHepatocellular carcinomaen
dc.subjectGene expressionen
dc.subjectCancers and neoplasmsen
dc.subjectCultured fibroblastsen
dc.subjectB cellsen
dc.subjectFibroblastsen
dc.subjectPrimary cellsen
dc.subjectDrug research and developmenten
dc.titleGene expression profiles of liver cancer cell lines reveal two hepatocyte-like and fibroblast-like clustersen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitlePLOS ONEen
dc.identifier.volume16-
dc.identifier.issue2-
dc.relation.doi10.1371/journal.pone.0245939-
dc.textversionpublisher-
dc.identifier.artnume0245939-
dc.identifier.pmid33539378-
dcterms.accessRightsopen access-
datacite.awardNumber17K10510-
datacite.awardNumber20K08996-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17K10510/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K08996/-
dc.identifier.eissn1932-6203-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle筋線維芽細胞に着目した肝内胆管癌、膵癌の治療法についてja
jpcoar.awardTitle肝胆膵領域のがん間質の線維化についての解析 新たなバイオマーカーや治療標的の探索ja
出現コレクション:学術雑誌掲載論文等

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