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Single-Cell Sequencing and Its Applications in Liver Cancer

As one of the most lethal cancers, primary liver cancer (PLC) has high tumor heterogeneity, including the heterogeneity between cancer cells. Traditional methods which have been used to identify tumor heterogeneity for a long time are based on large mixed cell samples, and the research results usual...

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Detalles Bibliográficos
Autores principales: Tian, Binle, Li, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097917/
https://www.ncbi.nlm.nih.gov/pubmed/35574365
http://dx.doi.org/10.3389/fonc.2022.857037
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author Tian, Binle
Li, Qi
author_facet Tian, Binle
Li, Qi
author_sort Tian, Binle
collection PubMed
description As one of the most lethal cancers, primary liver cancer (PLC) has high tumor heterogeneity, including the heterogeneity between cancer cells. Traditional methods which have been used to identify tumor heterogeneity for a long time are based on large mixed cell samples, and the research results usually show average level of the cell population, ignoring the heterogeneity between cancer cells. In recent years, single-cell sequencing has been increasingly applied to the studies of PLCs. It can detect the heterogeneity between cancer cells, distinguish each cell subgroup in the tumor microenvironment (TME), and also reveal the clonal characteristics of cancer cells, contributing to understand the evolution of tumor. Here, we introduce the process of single-cell sequencing, review the applications of single-cell sequencing in the heterogeneity of cancer cells, TMEs, oncogenesis, and metastatic mechanisms of liver cancer, and discuss some of the current challenges in the field.
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spelling pubmed-90979172022-05-13 Single-Cell Sequencing and Its Applications in Liver Cancer Tian, Binle Li, Qi Front Oncol Oncology As one of the most lethal cancers, primary liver cancer (PLC) has high tumor heterogeneity, including the heterogeneity between cancer cells. Traditional methods which have been used to identify tumor heterogeneity for a long time are based on large mixed cell samples, and the research results usually show average level of the cell population, ignoring the heterogeneity between cancer cells. In recent years, single-cell sequencing has been increasingly applied to the studies of PLCs. It can detect the heterogeneity between cancer cells, distinguish each cell subgroup in the tumor microenvironment (TME), and also reveal the clonal characteristics of cancer cells, contributing to understand the evolution of tumor. Here, we introduce the process of single-cell sequencing, review the applications of single-cell sequencing in the heterogeneity of cancer cells, TMEs, oncogenesis, and metastatic mechanisms of liver cancer, and discuss some of the current challenges in the field. Frontiers Media S.A. 2022-04-21 /pmc/articles/PMC9097917/ /pubmed/35574365 http://dx.doi.org/10.3389/fonc.2022.857037 Text en Copyright © 2022 Tian and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Tian, Binle
Li, Qi
Single-Cell Sequencing and Its Applications in Liver Cancer
title Single-Cell Sequencing and Its Applications in Liver Cancer
title_full Single-Cell Sequencing and Its Applications in Liver Cancer
title_fullStr Single-Cell Sequencing and Its Applications in Liver Cancer
title_full_unstemmed Single-Cell Sequencing and Its Applications in Liver Cancer
title_short Single-Cell Sequencing and Its Applications in Liver Cancer
title_sort single-cell sequencing and its applications in liver cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097917/
https://www.ncbi.nlm.nih.gov/pubmed/35574365
http://dx.doi.org/10.3389/fonc.2022.857037
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