MicrobioLink: An Integrated Computational Pipeline to Infer Functional Effects of Microbiome-Host Interactions

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorEarlham Institute-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorEötvös Loránd University-
Autor(es): dc.contributorQuadram Institute Bioscience-
Autor(es): dc.contributorMetabolism and Ageing-
Autor(es): dc.creatorAndrighetti, Tahila [UNESP]-
Autor(es): dc.creatorBohar, Balazs-
Autor(es): dc.creatorLemke, Ney [UNESP]-
Autor(es): dc.creatorSudhakar, Padhmanand-
Autor(es): dc.creatorKorcsmaros, Tamas-
Data de aceite: dc.date.accessioned2022-02-22T00:34:35Z-
Data de disponibilização: dc.date.available2022-02-22T00:34:35Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-05-21-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/cells9051278-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201815-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201815-
Descrição: dc.descriptionMicrobiome-host interactions play significant roles in health and in various diseases including autoimmune disorders. Uncovering these inter-kingdom cross-talks propels our understanding of disease pathogenesis and provides useful leads on potential therapeutic targets. Despite the biological significance of microbe-host interactions, there is a big gap in understanding the downstream effects of these interactions on host processes. Computational methods are expected to fill this gap by generating, integrating, and prioritizing predictions-as experimental detection remains challenging due to feasibility issues. Here, we present MicrobioLink, a computational pipeline to integrate predicted interactions between microbial and host proteins together with host molecular networks. Using the concept of network diffusion, MicrobioLink can analyse how microbial proteins in a certain context are influencing cellular processes by modulating gene or protein expression. We demonstrated the applicability of the pipeline using a case study. We used gut metaproteomic data from Crohn's disease patients and healthy controls to uncover the mechanisms by which the microbial proteins can modulate host genes which belong to biological processes implicated in disease pathogenesis. MicrobioLink, which is agnostic of the microbial protein sources (bacterial, viral, etc.), is freely available on GitHub.-
Descrição: dc.descriptionBiotechnology and Biological Sciences Research Council-
Descrição: dc.descriptionEarlham Institute, Norwich Research Park-
Descrição: dc.descriptionInstitute of Biosciences São Paulo University (UNESP)-
Descrição: dc.descriptionDepartment of Genetics Eötvös Loránd University-
Descrição: dc.descriptionQuadram Institute Bioscience, Norwich Research Park-
Descrição: dc.descriptionDepartment of Chronic Diseases Metabolism and Ageing-
Descrição: dc.descriptionInstitute of Biosciences São Paulo University (UNESP)-
Descrição: dc.descriptionBiotechnology and Biological Sciences Research Council: BB/J004529/1, BB/P016774/1 and BB/CSP17270/1-
Descrição: dc.descriptionBiotechnology and Biological Sciences Research Council: BB/R012490/1, BBS/E/F/000PR10353 and BBS/E/F/000PR10355-
Idioma: dc.languageen-
Relação: dc.relationCells-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcomputational pipeline-
Palavras-chave: dc.subjectmicrobiota–host interactions-
Palavras-chave: dc.subjectnetwork diffusion-
Palavras-chave: dc.subjectnetworks-
Palavras-chave: dc.subjectprotein–protein interactions-
Palavras-chave: dc.subjectsystems biology-
Título: dc.titleMicrobioLink: An Integrated Computational Pipeline to Infer Functional Effects of Microbiome-Host Interactions-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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