DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sung, J. | - |
dc.contributor.author | Kim, Seunghyeon | - |
dc.contributor.author | Cabatbat, J.J.T. | - |
dc.contributor.author | Jang, S. | - |
dc.contributor.author | Jin, Y.-S. | - |
dc.contributor.author | Gyoo Yeol Jung | - |
dc.contributor.author | Chia, N. | - |
dc.contributor.author | Kim, P.-J. | - |
dc.date.accessioned | 2018-01-04T06:51:23Z | - |
dc.date.available | 2018-01-04T06:51:23Z | - |
dc.date.created | 2017-07-05 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/39098 | - |
dc.description.abstract | A system-level framework of complex microbe-microbe and host-microbe chemical cross-Talk would help elucidate the role of our gut microbiota in health and disease. Here we report a literature-curated interspecies network of the human gut microbiota, called NJS16. This is an extensive data resource composed of ? 1/4570 microbial species and 3 human cell types metabolically interacting through >4,400 small-molecule transport and macromolecule degradation events. Based on the contents of our network, we develop a mathematical approach to elucidate representative microbial and metabolic features of the gut microbial community in a given population, such as a disease cohort. Applying this strategy to microbiome data from type 2 diabetes patients reveals a context-specific infrastructure of the gut microbial ecosystem, core microbial entities with large metabolic influence, and frequently produced metabolic compounds that might indicate relevant community metabolic processes. Our network presents a foundation towards integrative investigations of community-scale microbial activities within the human gut. ? The Author(s) 2017. | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | Nature Communications | - |
dc.title | Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/NCOMMS15393 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Nature Communications, v.8, pp.15393 | - |
dc.identifier.wosid | 000462642000001 | - |
dc.citation.startPage | 15393 | - |
dc.citation.title | Nature Communications | - |
dc.citation.volume | 8 | - |
dc.contributor.affiliatedAuthor | Kim, Seunghyeon | - |
dc.contributor.affiliatedAuthor | Gyoo Yeol Jung | - |
dc.contributor.affiliatedAuthor | Kim, P.-J. | - |
dc.identifier.scopusid | 2-s2.0-85020381670 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.scptc | 3 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.description.isOpenAccess | Y | - |
dc.type.docType | Article | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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