The role of network science in glioblastoma
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/72576 |
Resumo: | Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine. |
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The role of network science in glioblastomaNetwork analysisDifferential network expressionModel regularizationCausal discoveryMulti-omicsBiomarker selectionPrecision medicinePersonalized therapyScience & TechnologyNetwork science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine.This work was partially supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with references CEECINST/00102/2018, CEECIND/00072/2018 and PD/BDE/143154/2019, UIDB/04516/2020, UIDB/00297/2020, UIDB/50021/2020, UIDB/50022/2020, UIDB/50026/2020, UIDP/50026/2020, NORTE-01-0145-FEDER-000013, and NORTE-01-0145-FEDER000023 and projects PTDC/CCI-BIO/4180/2020 and DSAIPA/DS/0026/2019. This project has received funding from the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 951970 (OLISSIPO project).Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoLopes, Marta B.Martins, Eduarda P.Vinga, SusanaCosta, Bruno Marques2021-03-022021-03-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/72576engLopes, M.B.; Martins, E.P.; Vinga, S.; Costa, B.M. The Role of Network Science in Glioblastoma. Cancers 2021, 13, 1045. https://doi.org/10.3390/cancers130510452072-669410.3390/cancers13051045https://www.mdpi.com/2072-6694/13/5/1045info: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:RCAAP2023-07-21T12:12:13Zoai:repositorium.sdum.uminho.pt:1822/72576Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:04:07.354203Repositório 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 |
The role of network science in glioblastoma |
title |
The role of network science in glioblastoma |
spellingShingle |
The role of network science in glioblastoma Lopes, Marta B. Network analysis Differential network expression Model regularization Causal discovery Multi-omics Biomarker selection Precision medicine Personalized therapy Science & Technology |
title_short |
The role of network science in glioblastoma |
title_full |
The role of network science in glioblastoma |
title_fullStr |
The role of network science in glioblastoma |
title_full_unstemmed |
The role of network science in glioblastoma |
title_sort |
The role of network science in glioblastoma |
author |
Lopes, Marta B. |
author_facet |
Lopes, Marta B. Martins, Eduarda P. Vinga, Susana Costa, Bruno Marques |
author_role |
author |
author2 |
Martins, Eduarda P. Vinga, Susana Costa, Bruno Marques |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Lopes, Marta B. Martins, Eduarda P. Vinga, Susana Costa, Bruno Marques |
dc.subject.por.fl_str_mv |
Network analysis Differential network expression Model regularization Causal discovery Multi-omics Biomarker selection Precision medicine Personalized therapy Science & Technology |
topic |
Network analysis Differential network expression Model regularization Causal discovery Multi-omics Biomarker selection Precision medicine Personalized therapy Science & Technology |
description |
Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-02 2021-03-02T00:00:00Z |
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 |
http://hdl.handle.net/1822/72576 |
url |
http://hdl.handle.net/1822/72576 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Lopes, M.B.; Martins, E.P.; Vinga, S.; Costa, B.M. The Role of Network Science in Glioblastoma. Cancers 2021, 13, 1045. https://doi.org/10.3390/cancers13051045 2072-6694 10.3390/cancers13051045 https://www.mdpi.com/2072-6694/13/5/1045 |
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 |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132449003798528 |