Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines

Detalhes bibliográficos
Autor(a) principal: Peixoto, J
Data de Publicação: 2021
Outros Autores: Janaki-Raman, S, Schlicker, L, Schmitz, W, Walz, S, Winkelkotte, AM, Herold-Mende, C, Soares, P, Schulze, A, Lima, J
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/150484
Resumo: Altered metabolic processes contribute to carcinogenesis by modulating proliferation, survival and differentiation. Tumours are composed of different cell populations, with cancer stem-like cells being one of the most prominent examples. This specific pool of cells is thought to be responsible for cancer growth and recurrence and plays a particularly relevant role in glioblastoma (GBM), the most lethal form of primary brain tumours. Here, we have analysed the transcriptome and metabolome of an established GBM cell line (U87) and a patient-derived GBM stem-like cell line (NCH644) exposed to neurosphere or monolayer culture conditions. By integrating transcrip-tome and metabolome data, we identified key metabolic pathways and gene signatures that are associated with stem-like and differentiated states in GBM cells, and demonstrated that neuro-spheres and monolayer cells differ substantially in their metabolism and gene regulation. Further-more, arginine biosynthesis was identified as the most significantly regulated pathway in neuro-spheres, although individual nodes of this pathway were distinctly regulated in the two cellular systems. Neurosphere conditions, as opposed to monolayer conditions, cause a transcriptomic and metabolic rewiring that may be crucial for the regulation of stem-like features, where arginine bio-synthesis may be a key metabolic pathway. Additionally, TCGA data from GBM patients showed significant regulation of specific components of the arginine biosynthesis pathway, providing further evidence for the importance of this metabolic pathway in GBM.
id RCAP_bce48910c8cc2f41dda9bf6627ea6338
oai_identifier_str oai:repositorio-aberto.up.pt:10216/150484
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell linesAltered metabolic processes contribute to carcinogenesis by modulating proliferation, survival and differentiation. Tumours are composed of different cell populations, with cancer stem-like cells being one of the most prominent examples. This specific pool of cells is thought to be responsible for cancer growth and recurrence and plays a particularly relevant role in glioblastoma (GBM), the most lethal form of primary brain tumours. Here, we have analysed the transcriptome and metabolome of an established GBM cell line (U87) and a patient-derived GBM stem-like cell line (NCH644) exposed to neurosphere or monolayer culture conditions. By integrating transcrip-tome and metabolome data, we identified key metabolic pathways and gene signatures that are associated with stem-like and differentiated states in GBM cells, and demonstrated that neuro-spheres and monolayer cells differ substantially in their metabolism and gene regulation. Further-more, arginine biosynthesis was identified as the most significantly regulated pathway in neuro-spheres, although individual nodes of this pathway were distinctly regulated in the two cellular systems. Neurosphere conditions, as opposed to monolayer conditions, cause a transcriptomic and metabolic rewiring that may be crucial for the regulation of stem-like features, where arginine bio-synthesis may be a key metabolic pathway. Additionally, TCGA data from GBM patients showed significant regulation of specific components of the arginine biosynthesis pathway, providing further evidence for the importance of this metabolic pathway in GBM.MDPI20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/150484eng2072-669410.3390/cancers13061327Peixoto, JJanaki-Raman, SSchlicker, LSchmitz, WWalz, SWinkelkotte, AMHerold-Mende, CSoares, PSchulze, ALima, Jinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:23:27Zoai:repositorio-aberto.up.pt:10216/150484Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:22:26.962445Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
title Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
spellingShingle Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
Peixoto, J
title_short Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
title_full Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
title_fullStr Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
title_full_unstemmed Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
title_sort Integrated metabolomics and transcriptomics analysis of monolayer and neurospheres from established glioblastoma cell lines
author Peixoto, J
author_facet Peixoto, J
Janaki-Raman, S
Schlicker, L
Schmitz, W
Walz, S
Winkelkotte, AM
Herold-Mende, C
Soares, P
Schulze, A
Lima, J
author_role author
author2 Janaki-Raman, S
Schlicker, L
Schmitz, W
Walz, S
Winkelkotte, AM
Herold-Mende, C
Soares, P
Schulze, A
Lima, J
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Peixoto, J
Janaki-Raman, S
Schlicker, L
Schmitz, W
Walz, S
Winkelkotte, AM
Herold-Mende, C
Soares, P
Schulze, A
Lima, J
description Altered metabolic processes contribute to carcinogenesis by modulating proliferation, survival and differentiation. Tumours are composed of different cell populations, with cancer stem-like cells being one of the most prominent examples. This specific pool of cells is thought to be responsible for cancer growth and recurrence and plays a particularly relevant role in glioblastoma (GBM), the most lethal form of primary brain tumours. Here, we have analysed the transcriptome and metabolome of an established GBM cell line (U87) and a patient-derived GBM stem-like cell line (NCH644) exposed to neurosphere or monolayer culture conditions. By integrating transcrip-tome and metabolome data, we identified key metabolic pathways and gene signatures that are associated with stem-like and differentiated states in GBM cells, and demonstrated that neuro-spheres and monolayer cells differ substantially in their metabolism and gene regulation. Further-more, arginine biosynthesis was identified as the most significantly regulated pathway in neuro-spheres, although individual nodes of this pathway were distinctly regulated in the two cellular systems. Neurosphere conditions, as opposed to monolayer conditions, cause a transcriptomic and metabolic rewiring that may be crucial for the regulation of stem-like features, where arginine bio-synthesis may be a key metabolic pathway. Additionally, TCGA data from GBM patients showed significant regulation of specific components of the arginine biosynthesis pathway, providing further evidence for the importance of this metabolic pathway in GBM.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/150484
url https://hdl.handle.net/10216/150484
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-6694
10.3390/cancers13061327
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799136140475760640