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Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.
Franzosa, Eric A; Hsu, Tiffany; Sirota-Madi, Alexandra; Shafquat, Afrah; Abu-Ali, Galeb; Morgan, Xochitl C; Huttenhower, Curtis.
Afiliação
  • Franzosa EA; 1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
  • Hsu T; 1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
  • Sirota-Madi A; 1] The Broad Institute, Cambridge, Massachusetts 02142, USA. [2] Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
  • Shafquat A; Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
  • Abu-Ali G; Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.
  • Morgan XC; 1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
  • Huttenhower C; 1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
Nat Rev Microbiol ; 13(6): 360-72, 2015 Jun.
Article em En | MEDLINE | ID: mdl-25915636
ABSTRACT
High-throughput DNA sequencing has proven invaluable for investigating diverse environmental and host-associated microbial communities. In this Review, we discuss emerging strategies for microbial community analysis that complement and expand traditional metagenomic profiling. These include novel DNA sequencing strategies for identifying strain-level microbial variation and community temporal dynamics; measuring multiple 'omic' data types that better capture community functional activity, such as transcriptomics, proteomics and metabolomics; and combining multiple forms of omic data in an integrated framework. We highlight studies in which the 'multi-omics' approach has led to improved mechanistic models of microbial community structure and function.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Proteômica / Biologia de Sistemas / Metabolômica / Metagenômica / Microbiota Limite: Humans Idioma: En Revista: Nat Rev Microbiol Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Proteômica / Biologia de Sistemas / Metabolômica / Metagenômica / Microbiota Limite: Humans Idioma: En Revista: Nat Rev Microbiol Ano de publicação: 2015 Tipo de documento: Article