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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
Scientific data, 07/2023, Volume: 10, Issue: 1Journal Article
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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