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

Authors :
Soon-Chan Kim
Young-Eun Cho
Young-Kyoung Shin
Hyeon Jong Yu
Tamrin Chowdhury
Sojin Kim
Kyung Sik Yi
Chi-Hoon Choi
Sang-Hoon Cha
Chul-Kee Park
Ja-Lok Ku
Source :
Scientific Data, Vol 10, Iss 1, Pp 1-15 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract 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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.8555ba98b0944cc98c9445c006e11d0
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-023-02365-y