Artigo

Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1

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 character...

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Autor principal: Ferreira, W. A. S
Outros Autores: Amorim, C. K. N, Burbano, R. R, Villacis, R. A. R, Marchi, F. A, Medina, T. S, Lima, M. M. C. de, Oliveira, Edivaldo Herculano Corr?a de
Grau: Artigo
Idioma: eng
Publicado em: Associa??o Brasileira de Divulga??o Cient?fica 2021
Assuntos:
Acesso em linha: http://patua.iec.gov.br//handle/iec/4244
id ir-iec-4244
recordtype dspace
spelling ir-iec-42442021-02-03T23:51:21Z Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1 Ferreira, W. A. S Amorim, C. K. N Burbano, R. R Villacis, R. A. R Marchi, F. A Medina, T. S Lima, M. M. C. de Oliveira, Edivaldo Herculano Corr?a de Neoplasias Encef?licas Glioblastoma / gen?tica Glioma Hibridiza??o Gen?mica Comparativa / m?todos 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. This research was funded by Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico (CNPq) (Grant Number: 455078/2014-9) and Evandro Chagas Institute. 2021-02-03T23:22:18Z 2021-02-03T23:22:18Z 2021 Artigo FERREIRA, W. A. S. et al. Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1. Brazilian Journal of Medical and Biological Research, v. 54, n. 3, p. 1-12, Jan. 2021. 1414-431X http://patua.iec.gov.br//handle/iec/4244 /10.1590/1414-431x20209571 eng Acesso Aberto application/pdf Associa??o Brasileira de Divulga??o Cient?fica
institution Instituto Evandro Chagas (IEC)
collection PATUA
language eng
topic Neoplasias Encef?licas
Glioblastoma / gen?tica
Glioma
Hibridiza??o Gen?mica Comparativa / m?todos
spellingShingle Neoplasias Encef?licas
Glioblastoma / gen?tica
Glioma
Hibridiza??o Gen?mica Comparativa / m?todos
Ferreira, W. A. S
Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
topic_facet Neoplasias Encef?licas
Glioblastoma / gen?tica
Glioma
Hibridiza??o Gen?mica Comparativa / m?todos
description 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.
format Artigo
author Ferreira, W. A. S
author2 Amorim, C. K. N
Burbano, R. R
Villacis, R. A. R
Marchi, F. A
Medina, T. S
Lima, M. M. C. de
Oliveira, Edivaldo Herculano Corr?a de
author2Str Amorim, C. K. N
Burbano, R. R
Villacis, R. A. R
Marchi, F. A
Medina, T. S
Lima, M. M. C. de
Oliveira, Edivaldo Herculano Corr?a de
title Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
title_short Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
title_full Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
title_fullStr Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
title_full_unstemmed Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1
title_sort genomic and transcriptomic characterization of the human glioblastoma cell line ahol1
publisher Associa??o Brasileira de Divulga??o Cient?fica
publishDate 2021
url http://patua.iec.gov.br//handle/iec/4244
_version_ 1717584518676742144
score 11.755432