Cited 5 times in
Network-based genetic investigation of virulence-associated phenotypes in methicillin-resistant Staphylococcus aureus
DC Field | Value | Language |
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dc.contributor.author | 윤상선 | - |
dc.date.accessioned | 2018-09-28T08:59:54Z | - |
dc.date.available | 2018-09-28T08:59:54Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/163312 | - |
dc.description.abstract | Staphylococcus aureus is a gram-positive bacterium that causes a wide range of infections. Recently, the spread of methicillin-resistant S. aureus (MRSA) strains has seriously reduced antibiotic treatment options. Anti-virulence strategies, the objective of which is to target the virulence instead of the viability of the pathogen, have become widely accepted as a means of avoiding the emergence of new antibiotic-resistant strains. To increase the number of anti-virulence therapeutic options, it is necessary to identify as many novel virulence-associated genes as possible in MRSA. Co-functional networks have proved useful for mapping gene-to-phenotype associations in various organisms. Herein, we present StaphNet (www.inetbio.org/staphnet), a genome-scale co-functional network for an MRSA strain, S. aureus subsp. USA300_FPR3757. StaphNet, which was constructed by the integration of seven distinct types of genomics data within a Bayesian statistics framework, covers approximately 94% of the coding genome with a high degree of accuracy. We implemented a companion web server for network-based gene prioritization of the phenotypes of 31 different S. aureus strains. We demonstrated that StaphNet can effectively identify genes for virulence-associated phenotypes in MRSA. These results suggest that StaphNet can facilitate target discovery for the development of anti-virulence drugs to treat MRSA infection. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | Network-based genetic investigation of virulence-associated phenotypes in methicillin-resistant Staphylococcus aureus | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Microbiology | - |
dc.contributor.googleauthor | Chan Yeong Kim | - |
dc.contributor.googleauthor | Muyoung Lee | - |
dc.contributor.googleauthor | Keehoon Lee | - |
dc.contributor.googleauthor | Sang Sun Yoon | - |
dc.contributor.googleauthor | Insuk Lee | - |
dc.identifier.doi | 10.1038/s41598-018-29120-3 | - |
dc.contributor.localId | A02558 | - |
dc.relation.journalcode | J02646 | - |
dc.identifier.eissn | 2045-2322 | - |
dc.identifier.pmid | 30018396 | - |
dc.contributor.alternativeName | Yoon, Sang Sun | - |
dc.contributor.affiliatedAuthor | Yoon, Sang Sun | - |
dc.citation.volume | 8 | - |
dc.citation.startPage | 10796 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, Vol.8 : 10796, 2018 | - |
dc.identifier.rimsid | 58576 | - |
dc.type.rims | ART | - |
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