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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...

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Autores principales: Bondoc, Alexander, Glaser, Kathryn, Jin, Kang, Lake, Charissa, Cairo, Stefano, Geller, James, Tiao, Gregory, Aronow, Bruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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