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Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma
Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and molecular investigations are limited and effective treatment options for chemoresistant disease are lacking. There is a knowledge gap in the investigation of key driver cells of HB in tumor. Here we show single cell ri...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426487/ https://www.ncbi.nlm.nih.gov/pubmed/34497364 http://dx.doi.org/10.1038/s42003-021-02562-8 |
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author | Bondoc, Alexander Glaser, Kathryn Jin, Kang Lake, Charissa Cairo, Stefano Geller, James Tiao, Gregory Aronow, Bruce |
author_facet | Bondoc, Alexander Glaser, Kathryn Jin, Kang Lake, Charissa Cairo, Stefano Geller, James Tiao, Gregory Aronow, Bruce |
author_sort | Bondoc, Alexander |
collection | PubMed |
description | Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and molecular investigations are limited and effective treatment options for chemoresistant disease are lacking. There is a knowledge gap in the investigation of key driver cells of HB in tumor. Here we show single cell ribonucleic acid sequencing (scRNAseq) analysis of human tumor, background liver, and patient derived xenograft (PDX) to demonstrate gene expression patterns within tumor and to identify intratumor cell subtype heterogeneity to define differing roles in pathogenesis based on intracellular signaling in pediatric HB. We have identified a driver tumor cell cluster in HB by genetic expression which can be examined to define disease mechanism and treatments. Identification of both critical mechanistic pathways combined with unique cell populations provide the basis for discovery and investigation of novel treatment strategies in vitro and in vivo. |
format | Online Article Text |
id | pubmed-8426487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84264872021-09-22 Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma Bondoc, Alexander Glaser, Kathryn Jin, Kang Lake, Charissa Cairo, Stefano Geller, James Tiao, Gregory Aronow, Bruce Commun Biol Article Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and molecular investigations are limited and effective treatment options for chemoresistant disease are lacking. There is a knowledge gap in the investigation of key driver cells of HB in tumor. Here we show single cell ribonucleic acid sequencing (scRNAseq) analysis of human tumor, background liver, and patient derived xenograft (PDX) to demonstrate gene expression patterns within tumor and to identify intratumor cell subtype heterogeneity to define differing roles in pathogenesis based on intracellular signaling in pediatric HB. We have identified a driver tumor cell cluster in HB by genetic expression which can be examined to define disease mechanism and treatments. Identification of both critical mechanistic pathways combined with unique cell populations provide the basis for discovery and investigation of novel treatment strategies in vitro and in vivo. Nature Publishing Group UK 2021-09-08 /pmc/articles/PMC8426487/ /pubmed/34497364 http://dx.doi.org/10.1038/s42003-021-02562-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bondoc, Alexander Glaser, Kathryn Jin, Kang Lake, Charissa Cairo, Stefano Geller, James Tiao, Gregory Aronow, Bruce Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title_full | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title_fullStr | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title_full_unstemmed | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title_short | Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
title_sort | identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426487/ https://www.ncbi.nlm.nih.gov/pubmed/34497364 http://dx.doi.org/10.1038/s42003-021-02562-8 |
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