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Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets
PURPOSE: Comparative reanalysis of single-cell transcriptomics data to gain useful novel insights into cancer stem cells (CSCs), which are a rare subset of cells within tumors, characterized by their capability to self-renew and differentiate, and their role in tumorigenicity. PATIENTS AND METHODS:...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216768/ https://www.ncbi.nlm.nih.gov/pubmed/34168465 http://dx.doi.org/10.2147/SCCAA.S307043 |
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author | Borziak, Kirill Finkelstein, Joseph |
author_facet | Borziak, Kirill Finkelstein, Joseph |
author_sort | Borziak, Kirill |
collection | PubMed |
description | PURPOSE: Comparative reanalysis of single-cell transcriptomics data to gain useful novel insights into cancer stem cells (CSCs), which are a rare subset of cells within tumors, characterized by their capability to self-renew and differentiate, and their role in tumorigenicity. PATIENTS AND METHODS: This project utilized publically available liver single-cell RNA-seq datasets of liver cancer and liver progenitor cell types to demonstrate how shared large amounts of data can generate new and valuable information. The data were analyzed using EdgeR differential expression analysis, with focus on a set of 34 known stemness markers. RESULTS: We showed that the expression of stemness markers SOX9, KRT19, KRT7, and CD24, and Yamanaka factors Oct4 and SOX2 in CSCs was significantly elevated relative to progenitor cell types, potentially explaining their increased differentiation and replication potential. CONCLUSION: These results help to further document the complementary expression changes that give CSCs their distinct phenotypic profile. Our findings have potential significance to advance our knowledge of the important genes relevant to CSCs. |
format | Online Article Text |
id | pubmed-8216768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-82167682021-06-23 Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets Borziak, Kirill Finkelstein, Joseph Stem Cells Cloning Original Research PURPOSE: Comparative reanalysis of single-cell transcriptomics data to gain useful novel insights into cancer stem cells (CSCs), which are a rare subset of cells within tumors, characterized by their capability to self-renew and differentiate, and their role in tumorigenicity. PATIENTS AND METHODS: This project utilized publically available liver single-cell RNA-seq datasets of liver cancer and liver progenitor cell types to demonstrate how shared large amounts of data can generate new and valuable information. The data were analyzed using EdgeR differential expression analysis, with focus on a set of 34 known stemness markers. RESULTS: We showed that the expression of stemness markers SOX9, KRT19, KRT7, and CD24, and Yamanaka factors Oct4 and SOX2 in CSCs was significantly elevated relative to progenitor cell types, potentially explaining their increased differentiation and replication potential. CONCLUSION: These results help to further document the complementary expression changes that give CSCs their distinct phenotypic profile. Our findings have potential significance to advance our knowledge of the important genes relevant to CSCs. Dove 2021-06-16 /pmc/articles/PMC8216768/ /pubmed/34168465 http://dx.doi.org/10.2147/SCCAA.S307043 Text en © 2021 Borziak and Finkelstein. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Borziak, Kirill Finkelstein, Joseph Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title | Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title_full | Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title_fullStr | Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title_full_unstemmed | Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title_short | Identification of Liver Cancer Stem Cell Stemness Markers Using a Comparative Analysis of Public Data Sets |
title_sort | identification of liver cancer stem cell stemness markers using a comparative analysis of public data sets |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216768/ https://www.ncbi.nlm.nih.gov/pubmed/34168465 http://dx.doi.org/10.2147/SCCAA.S307043 |
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