ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2021
Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1.
Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Transcriptomic profiling of a canine malignant eyelid melanoma.Brazilian journal of veterinary medicine · 2026Article
- In Vitro Cytotoxic Effects and Mechanisms of Action of Eleutherine Isolated fromMolecules (Basel, Switzerland) · 2022Article
- Repeated Cycles of Binge-Like Ethanol Exposure Induces Neurobehavioral Changes During Short- and Long-Term Withdrawal in Adolescent Female Rats.Oxidative medicine and cellular longevity · 2022Article
- High SPIN4 Expression Is Linked to Advanced Nodal Status and Inferior Prognosis in Nasopharyngeal Carcinoma Patients.Life (Basel, Switzerland) · 2021Article
- Meningiomas: An Overview of the Landscape of Copy Number Alterations in Samples from an Admixed Population.Journal of oncology · 2020Article
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Authors and funding
8 authors.
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Abstract
Cancer cell lines are widely used as in vitro models of tumorigenesis, facilitating fundamental discoveries in cancer biology and translational medicine. Currently, there are few options for glioblastoma (GBM) treatment and limited in vitro models with accurate genomic and transcriptomic characterization. Here, a detailed characterization of a new GBM cell line, namely AHOL1, was conducted in order to fully characterize its molecular composition based on its karyotype, copy number alteration (CNA), and transcriptome profiling, followed by the validation of key elements associated with GBM tumorigenesis. Large numbers of CNAs and differentially expressed genes (DEGs) were identified. CNAs were distributed throughout the genome, including gains at Xq11.1-q28, Xp22.33-p11.1, Xq21.1-q21.33, 4p15.1-p14, 8q23.2-q23.3 and losses at Yq11.21-q12, Yp11.31-p11.2, and 15q11.1-q11.2 positions. Nine druggable genes were identified, including HCRTR2, ETV1, PTPRD, PRKX, STS, RPS6KA6, ZFY, USP9Y, and KDM5D. By integrating DEGs and CNAs, we identified 57 overlapping genes enriched in fourteen pathways. Altered expression of several cancer-related candidates found in the DEGs-CNA dataset was confirmed by RT-qPCR. Taken together, this first comprehensive genomic and transcriptomic landscape of AHOL1 provides unique resources for further studies and identifies several druggable targets that may be useful for therapeutics and biologic and molecular investigation of GBM.
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