In silico logical modelling to uncover cooperative interactions in cancer

Detalhes bibliográficos
Autor(a) principal: Selvaggio, G
Data de Publicação: 2021
Outros Autores: Chaouiya, C, Janody, F
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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spelling 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
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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
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