Your browser doesn't support javascript.
loading
MetGEMs Toolbox: Metagenome-scale models as integrative toolbox for uncovering metabolic functions and routes of human gut microbiome.
Patumcharoenpol, Preecha; Nakphaichit, Massalin; Panagiotou, Gianni; Senavonge, Anchalee; Suratannon, Narissara; Vongsangnak, Wanwipa.
Afiliação
  • Patumcharoenpol P; Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, Thailand.
  • Nakphaichit M; Department of Biotechnology, Faculty of Agro-Industry, Kasetsart University, Bangkok, Thailand.
  • Panagiotou G; Systems Biology & Bioinformatics Group, School of Biological Sciences, The University of Hong Kong, Hong Kong S.A.R., China.
  • Senavonge A; Department of Medicine and State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong S.A.R., China.
  • Suratannon N; Systems Biology & Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany.
  • Vongsangnak W; Pediatric Allergy & Clinical Immunology Research Unit, Division of Allergy and Immunology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, the Thai Red Cross Society, Bangkok, Thailand.
PLoS Comput Biol ; 17(1): e1008487, 2021 01.
Article em En | MEDLINE | ID: mdl-33406089
Investigating metabolic functional capability of a human gut microbiome enables the quantification of microbiome changes, which can cause a phenotypic change of host physiology and disease. One possible way to estimate the functional capability of a microbial community is through inferring metagenomic content from 16S rRNA gene sequences. Genome-scale models (GEMs) can be used as scaffold for functional estimation analysis at a systematic level, however up to date, there is no integrative toolbox based on GEMs for uncovering metabolic functions. Here, we developed the MetGEMs (metagenome-scale models) toolbox, an open-source application for inferring metabolic functions from 16S rRNA gene sequences to facilitate the study of the human gut microbiome by the wider scientific community. The developed toolbox was validated using shotgun metagenomic data and shown to be superior in predicting functional composition in human clinical samples compared to existing state-of-the-art tools. Therefore, the MetGEMs toolbox was subsequently applied for annotating putative enzyme functions and metabolic routes related in human disease using atopic dermatitis as a case study.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Software / Metagenoma / Metagenômica / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Tailândia

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Bactérias / Software / Metagenoma / Metagenômica / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Tailândia