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Cell functional enviromics: Unravelling the function of environmental factors

BACKGROUND: While functional genomics, focused on gene functions and gene-gene interactions, has become a very active field of research in molecular biology, equivalent methodologies embracing the environment and gene-environment interactions are relatively less developed. Understanding the function...

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Detalles Bibliográficos
Autores principales: Teixeira, Ana P, Dias, João ML, Carinhas, Nuno, Sousa, Marcos, Clemente, João J, Cunha, António E, von Stosch, Moritz, Alves, Paula M, Carrondo, Manuel JT, Oliveira, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118353/
https://www.ncbi.nlm.nih.gov/pubmed/21645360
http://dx.doi.org/10.1186/1752-0509-5-92
Descripción
Sumario:BACKGROUND: While functional genomics, focused on gene functions and gene-gene interactions, has become a very active field of research in molecular biology, equivalent methodologies embracing the environment and gene-environment interactions are relatively less developed. Understanding the function of environmental factors is, however, of paramount importance given the complex, interactive nature of environmental and genetic factors across multiple time scales. RESULTS: Here, we propose a systems biology framework, where the function of environmental factors is set at its core. We set forth a "reverse" functional analysis approach, whereby cellular functions are reconstructed from the analysis of dynamic envirome data. Our results show these data sets can be mapped to less than 20 core cellular functions in a typical mammalian cell culture, while explaining over 90% of flux data variance. A functional enviromics map can be created, which provides a template for manipulating the environmental factors to induce a desired phenotypic trait. CONCLUSION: Our results support the feasibility of cellular function reconstruction guided by the analysis and manipulation of dynamic envirome data.