In silico logical modelling to uncover cooperative interactions in cancer
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: | https://hdl.handle.net/10216/152485 |
Resumo: | The multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer cells and the surrounding tumour micro-environment. The search for these synergistic interactions using experimental models made tremen-dous contributions to our understanding of oncogenesis. Yet, these approaches remain labour-in-tensive and challenging. To tackle such a hurdle, an integrative, multidisciplinary effort is required. In this article, we highlight the use of logical computational models, combined with experimental validations, as an effective approach to identify cooperative mechanisms and therapeutic strategies in the context of cancer biology. In silico models overcome limitations of reductionist approaches by capturing tumour complexity and by generating powerful testable hypotheses. We review rep-resentative examples of logical models reported in the literature and their validation. We then provide further analyses of our logical model of Epithelium to Mesenchymal Transition (EMT), searching for additional cooperative interactions involving inputs from the tumour microenvironment and gain of function mutations in NOTCH. |
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In silico logical modelling to uncover cooperative interactions in cancerCooperative oncogenesisEpithelium to mesenchymal transitionLogical computational modelSignalling pathwaysTumour microenvironmentThe multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer cells and the surrounding tumour micro-environment. The search for these synergistic interactions using experimental models made tremen-dous contributions to our understanding of oncogenesis. Yet, these approaches remain labour-in-tensive and challenging. To tackle such a hurdle, an integrative, multidisciplinary effort is required. In this article, we highlight the use of logical computational models, combined with experimental validations, as an effective approach to identify cooperative mechanisms and therapeutic strategies in the context of cancer biology. In silico models overcome limitations of reductionist approaches by capturing tumour complexity and by generating powerful testable hypotheses. We review rep-resentative examples of logical models reported in the literature and their validation. We then provide further analyses of our logical model of Epithelium to Mesenchymal Transition (EMT), searching for additional cooperative interactions involving inputs from the tumour microenvironment and gain of function mutations in NOTCH.MDPI20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/152485eng1661-659610.3390/ijms22094897Selvaggio, GChaouiya, CJanody, Finfo: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:RCAAP2023-11-29T15:18:35Zoai:repositorio-aberto.up.pt:10216/152485Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:20:17.367529Repositório 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 |
In silico logical modelling to uncover cooperative interactions in cancer |
title |
In silico logical modelling to uncover cooperative interactions in cancer |
spellingShingle |
In silico logical modelling to uncover cooperative interactions in cancer Selvaggio, G Cooperative oncogenesis Epithelium to mesenchymal transition Logical computational model Signalling pathways Tumour microenvironment |
title_short |
In silico logical modelling to uncover cooperative interactions in cancer |
title_full |
In silico logical modelling to uncover cooperative interactions in cancer |
title_fullStr |
In silico logical modelling to uncover cooperative interactions in cancer |
title_full_unstemmed |
In silico logical modelling to uncover cooperative interactions in cancer |
title_sort |
In silico logical modelling to uncover cooperative interactions in cancer |
author |
Selvaggio, G |
author_facet |
Selvaggio, G Chaouiya, C Janody, F |
author_role |
author |
author2 |
Chaouiya, C Janody, F |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Selvaggio, G Chaouiya, C Janody, F |
dc.subject.por.fl_str_mv |
Cooperative oncogenesis Epithelium to mesenchymal transition Logical computational model Signalling pathways Tumour microenvironment |
topic |
Cooperative oncogenesis Epithelium to mesenchymal transition Logical computational model Signalling pathways Tumour microenvironment |
description |
The multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer cells and the surrounding tumour micro-environment. The search for these synergistic interactions using experimental models made tremen-dous contributions to our understanding of oncogenesis. Yet, these approaches remain labour-in-tensive and challenging. To tackle such a hurdle, an integrative, multidisciplinary effort is required. In this article, we highlight the use of logical computational models, combined with experimental validations, as an effective approach to identify cooperative mechanisms and therapeutic strategies in the context of cancer biology. In silico models overcome limitations of reductionist approaches by capturing tumour complexity and by generating powerful testable hypotheses. We review rep-resentative examples of logical models reported in the literature and their validation. We then provide further analyses of our logical model of Epithelium to Mesenchymal Transition (EMT), searching for additional cooperative interactions involving inputs from the tumour microenvironment and gain of function mutations in NOTCH. |
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/10216/152485 |
url |
https://hdl.handle.net/10216/152485 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1661-6596 10.3390/ijms22094897 |
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 |
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1799136120128143360 |