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Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue

Glioblastoma (GBM) is the most lethal intracranial tumor. Sequencing technologies have supported personalized therapy for precise diagnosis and optimal treatment of GBM by revealing clinically actionable molecular characteristics. Although accumulating sequence data from brain tumors and matched nor...

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Autores principales: Kim, Soon-Chan, Cho, Young-Eun, Shin, Young-Kyoung, Yu, Hyeon Jong, Chowdhury, Tamrin, Kim, Sojin, Yi, Kyung Sik, Choi, Chi-Hoon, Cha, Sang-Hoon, Park, Chul-Kee, Ku, Ja-Lok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338444/
https://www.ncbi.nlm.nih.gov/pubmed/37438387
http://dx.doi.org/10.1038/s41597-023-02365-y
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author Kim, Soon-Chan
Cho, Young-Eun
Shin, Young-Kyoung
Yu, Hyeon Jong
Chowdhury, Tamrin
Kim, Sojin
Yi, Kyung Sik
Choi, Chi-Hoon
Cha, Sang-Hoon
Park, Chul-Kee
Ku, Ja-Lok
author_facet Kim, Soon-Chan
Cho, Young-Eun
Shin, Young-Kyoung
Yu, Hyeon Jong
Chowdhury, Tamrin
Kim, Sojin
Yi, Kyung Sik
Choi, Chi-Hoon
Cha, Sang-Hoon
Park, Chul-Kee
Ku, Ja-Lok
author_sort Kim, Soon-Chan
collection PubMed
description Glioblastoma (GBM) is the most lethal intracranial tumor. Sequencing technologies have supported personalized therapy for precise diagnosis and optimal treatment of GBM by revealing clinically actionable molecular characteristics. Although accumulating sequence data from brain tumors and matched normal tissues have facilitated a comprehensive understanding of genomic features of GBM, these in silico evaluations could gain more biological credibility when they are verified with in vitro and in vivo models. From this perspective, GBM cell lines with whole exome sequencing (WES) datasets of matched tumor tissues and normal blood are suitable biological platforms to not only investigate molecular markers of GBM but also validate the applicability of druggable targets. Here, we provide a complete WES dataset of 26 GBM patient-derived cell lines along with their matched tumor tissues and blood to demonstrate that cell lines can mostly recapitulate genomic profiles of original tumors such as mutational signatures and copy number alterations.
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spelling pubmed-103384442023-07-14 Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue Kim, Soon-Chan Cho, Young-Eun Shin, Young-Kyoung Yu, Hyeon Jong Chowdhury, Tamrin Kim, Sojin Yi, Kyung Sik Choi, Chi-Hoon Cha, Sang-Hoon Park, Chul-Kee Ku, Ja-Lok Sci Data Data Descriptor Glioblastoma (GBM) is the most lethal intracranial tumor. Sequencing technologies have supported personalized therapy for precise diagnosis and optimal treatment of GBM by revealing clinically actionable molecular characteristics. Although accumulating sequence data from brain tumors and matched normal tissues have facilitated a comprehensive understanding of genomic features of GBM, these in silico evaluations could gain more biological credibility when they are verified with in vitro and in vivo models. From this perspective, GBM cell lines with whole exome sequencing (WES) datasets of matched tumor tissues and normal blood are suitable biological platforms to not only investigate molecular markers of GBM but also validate the applicability of druggable targets. Here, we provide a complete WES dataset of 26 GBM patient-derived cell lines along with their matched tumor tissues and blood to demonstrate that cell lines can mostly recapitulate genomic profiles of original tumors such as mutational signatures and copy number alterations. Nature Publishing Group UK 2023-07-12 /pmc/articles/PMC10338444/ /pubmed/37438387 http://dx.doi.org/10.1038/s41597-023-02365-y Text en © The Author(s) 2023, corrected publication 2023 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 Data Descriptor
Kim, Soon-Chan
Cho, Young-Eun
Shin, Young-Kyoung
Yu, Hyeon Jong
Chowdhury, Tamrin
Kim, Sojin
Yi, Kyung Sik
Choi, Chi-Hoon
Cha, Sang-Hoon
Park, Chul-Kee
Ku, Ja-Lok
Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title_full Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title_fullStr Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title_full_unstemmed Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title_short Patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
title_sort patient-derived glioblastoma cell lines with conserved genome profiles of the original tissue
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338444/
https://www.ncbi.nlm.nih.gov/pubmed/37438387
http://dx.doi.org/10.1038/s41597-023-02365-y
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