Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Null diffusion-based enrichment for metabolomics data

  • Datos identificativos

    Identificador: imarina:3715450
    Autores:
    Picart-Armada, SergioFernandez-Albert, FrancescVinaixa, MariaRodriguez, Miguel AAivio, SuviStracker, Travis HYanes, OscarPerera-Lluna, Alexandre
    Resumen:
    Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological explanation for these variations. Although several methods are available for pathway enrichment using experimental evidence, metabolomics does not yet have a comprehensive overview in a network layout at multiple molecular levels. We propose a novel pathway enrichment procedure for analysing summary metabolomics data based on sub-network analysis in a graph representation of a reference database. Relevant entries are extracted from the database according to statistical measures over a null diffusive process that accounts for network topology and pathway crosstalk. Entries are reported as a sub-pathway network, including not only pathways, but also modules, enzymes, reactions and possibly other compound candidates for further analyses. This provides a richer biological context, suitable for generating new study hypotheses and potential enzymatic targets. Using this method, we report results from cells depleted for an uncharacterised mitochondrial gene using GC and LC-MS data and employing KEGG as a knowledge base. Partial validation is provided with NMR-based tracking of 13C glucose labelling of these cells.
  • Otros:

    Autor según el artículo: Picart-Armada, Sergio; Fernandez-Albert, Francesc; Vinaixa, Maria; Rodriguez, Miguel A; Aivio, Suvi; Stracker, Travis H; Yanes, Oscar; Perera-Lluna, Alexandre
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    Autor/es de la URV: Rodríguez Chacón, Matilde / Vinaixa Crevillent, Maria / Yanes Torrado, Óscar
    Palabras clave: Tool Pathways Lc/ms
    Resumen: Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological explanation for these variations. Although several methods are available for pathway enrichment using experimental evidence, metabolomics does not yet have a comprehensive overview in a network layout at multiple molecular levels. We propose a novel pathway enrichment procedure for analysing summary metabolomics data based on sub-network analysis in a graph representation of a reference database. Relevant entries are extracted from the database according to statistical measures over a null diffusive process that accounts for network topology and pathway crosstalk. Entries are reported as a sub-pathway network, including not only pathways, but also modules, enzymes, reactions and possibly other compound candidates for further analyses. This provides a richer biological context, suitable for generating new study hypotheses and potential enzymatic targets. Using this method, we report results from cells depleted for an uncharacterised mitochondrial gene using GC and LC-MS data and employing KEGG as a knowledge base. Partial validation is provided with NMR-based tracking of 13C glucose labelling of these cells.
    Áreas temáticas: Zootecnia / recursos pesqueiros Sociology Sociología Serviço social Saúde coletiva Química Psychology Psicología Planejamento urbano e regional / demografia Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Linguística e literatura Letras / linguística Interdisciplinary research in the social sciences Interdisciplinar Human geography and urban studies History & philosophy of science Historia Geografía Geociências General medicine General biochemistry,genetics and molecular biology General agricultural and biological sciences Farmacia Environmental studies Ensino Engenharias iv Engenharias iii Engenharias ii Engenharias i Enfermagem Educação física Educação Economia Direito Demography Comunicação e informação Ciências sociais aplicadas i Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência política e relações internacionais Ciência de alimentos Ciência da computação Biotecnología Biology Biodiversidade Biochemistry, genetics and molecular biology (miscellaneous) Astronomia / física Arquitetura, urbanismo e design Archaeology Antropologia / arqueologia Anthropology Agricultural and biological sciences (miscellaneous) Administração, ciências contábeis e turismo Administração pública e de empresas, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 19326203
    Direcció de correo del autor: maria.vinaixa@urv.cat oscar.yanes@urv.cat matilde.rodriguez@urv.cat maria.vinaixa@urv.cat
    Identificador del autor: 0000-0001-9804-0171 0000-0003-3695-7157 0000-0001-9804-0171
    Fecha de alta del registro: 2024-10-12
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Plos One. 12 (12): 467-
    Referencia de l'ítem segons les normes APA: Picart-Armada, Sergio; Fernandez-Albert, Francesc; Vinaixa, Maria; Rodriguez, Miguel A; Aivio, Suvi; Stracker, Travis H; Yanes, Oscar; Perera-Lluna, A (2017). Null diffusion-based enrichment for metabolomics data. Plos One, 12(12), 467-. DOI: 10.1371/journal.pone.0189012
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2017
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Agricultural and Biological Sciences (Miscellaneous),Biochemistry, Genetics and Molecular Biology (Miscellaneous),Biology,Medicine (Miscellaneous),Multidisciplinary,Multidisciplinary Sciences
    Tool
    Pathways
    Lc/ms
    Zootecnia / recursos pesqueiros
    Sociology
    Sociología
    Serviço social
    Saúde coletiva
    Química
    Psychology
    Psicología
    Planejamento urbano e regional / demografia
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicine (miscellaneous)
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Linguística e literatura
    Letras / linguística
    Interdisciplinary research in the social sciences
    Interdisciplinar
    Human geography and urban studies
    History & philosophy of science
    Historia
    Geografía
    Geociências
    General medicine
    General biochemistry,genetics and molecular biology
    General agricultural and biological sciences
    Farmacia
    Environmental studies
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Educação física
    Educação
    Economia
    Direito
    Demography
    Comunicação e informação
    Ciências sociais aplicadas i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência política e relações internacionais
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biology
    Biodiversidade
    Biochemistry, genetics and molecular biology (miscellaneous)
    Astronomia / física
    Arquitetura, urbanismo e design
    Archaeology
    Antropologia / arqueologia
    Anthropology
    Agricultural and biological sciences (miscellaneous)
    Administração, ciências contábeis e turismo
    Administração pública e de empresas, ciências contábeis e turismo
  • Documentos:

  • Cerca a google

    Search to google scholar