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Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines
Hepatocellular carcinoma (HCC) is the most common liver cancer with a high rate of metastasis. However, the molecular mechanisms that drive metastasis remain unclear. We combined single-cell transcriptomic, proteomic, and chromatin accessibility data to investigate how heterogeneous phenotypes contr...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850337/ https://www.ncbi.nlm.nih.gov/pubmed/35198910 http://dx.doi.org/10.1016/j.isci.2022.103857 |
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author | Wang, Shanshan Xie, Jiarui Zou, Xuanxuan Pan, Taotao Yu, Qichao Zhuang, Zhenkun Zhong, Yu Zhao, Xin Wang, Zifei Li, Rui Lei, Ying Yin, Jianhua Yuan, Yue Wei, Xiaoyu Liu, Longqi Liu, Shiping Yang, Huanming Wu, Liang |
author_facet | Wang, Shanshan Xie, Jiarui Zou, Xuanxuan Pan, Taotao Yu, Qichao Zhuang, Zhenkun Zhong, Yu Zhao, Xin Wang, Zifei Li, Rui Lei, Ying Yin, Jianhua Yuan, Yue Wei, Xiaoyu Liu, Longqi Liu, Shiping Yang, Huanming Wu, Liang |
author_sort | Wang, Shanshan |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is the most common liver cancer with a high rate of metastasis. However, the molecular mechanisms that drive metastasis remain unclear. We combined single-cell transcriptomic, proteomic, and chromatin accessibility data to investigate how heterogeneous phenotypes contribute to metastatic potential in five HCC cell lines. We confirmed that the prevalence of a mesenchymal state and levels of cell proliferation are linked to the metastatic potential. We also identified a rare hypoxic subtype that has a higher capacity for glycolysis and exhibits dormant, invasive, and malignant characteristics. This subtype has increased metastatic potential. We further identified a robust 14-gene panel representing this hypoxia signature and this hypoxia signature could serve as a prognostic index. Our data provide a valuable data resource, facilitate a deeper understanding of metastatic mechanisms, and may help diagnosis of metastatic potential in individual patients, thus supporting personalized medicine. |
format | Online Article Text |
id | pubmed-8850337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88503372022-02-22 Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines Wang, Shanshan Xie, Jiarui Zou, Xuanxuan Pan, Taotao Yu, Qichao Zhuang, Zhenkun Zhong, Yu Zhao, Xin Wang, Zifei Li, Rui Lei, Ying Yin, Jianhua Yuan, Yue Wei, Xiaoyu Liu, Longqi Liu, Shiping Yang, Huanming Wu, Liang iScience Article Hepatocellular carcinoma (HCC) is the most common liver cancer with a high rate of metastasis. However, the molecular mechanisms that drive metastasis remain unclear. We combined single-cell transcriptomic, proteomic, and chromatin accessibility data to investigate how heterogeneous phenotypes contribute to metastatic potential in five HCC cell lines. We confirmed that the prevalence of a mesenchymal state and levels of cell proliferation are linked to the metastatic potential. We also identified a rare hypoxic subtype that has a higher capacity for glycolysis and exhibits dormant, invasive, and malignant characteristics. This subtype has increased metastatic potential. We further identified a robust 14-gene panel representing this hypoxia signature and this hypoxia signature could serve as a prognostic index. Our data provide a valuable data resource, facilitate a deeper understanding of metastatic mechanisms, and may help diagnosis of metastatic potential in individual patients, thus supporting personalized medicine. Elsevier 2022-02-02 /pmc/articles/PMC8850337/ /pubmed/35198910 http://dx.doi.org/10.1016/j.isci.2022.103857 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wang, Shanshan Xie, Jiarui Zou, Xuanxuan Pan, Taotao Yu, Qichao Zhuang, Zhenkun Zhong, Yu Zhao, Xin Wang, Zifei Li, Rui Lei, Ying Yin, Jianhua Yuan, Yue Wei, Xiaoyu Liu, Longqi Liu, Shiping Yang, Huanming Wu, Liang Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title | Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title_full | Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title_fullStr | Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title_full_unstemmed | Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title_short | Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
title_sort | single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850337/ https://www.ncbi.nlm.nih.gov/pubmed/35198910 http://dx.doi.org/10.1016/j.isci.2022.103857 |
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