Cited 24 times in
Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa
DC Field | Value | Language |
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dc.contributor.author | 윤상선 | - |
dc.date.accessioned | 2017-02-27T07:30:37Z | - |
dc.date.available | 2017-02-27T07:30:37Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/146899 | - |
dc.description.abstract | Pseudomonas aeruginosa is a Gram-negative bacterium of clinical significance. Although the genome of PAO1, a prototype strain of P. aeruginosa, has been extensively studied, approximately one-third of the functional genome remains unknown. With the emergence of antibiotic-resistant strains of P. aeruginosa, there is an urgent need to develop novel antibiotic and anti-virulence strategies, which may be facilitated by an approach that explores P. aeruginosa gene function in systems-level models. Here, we present a genome-wide functional network of P. aeruginosa genes, PseudomonasNet, which covers 98% of the coding genome, and a companion web server to generate functional hypotheses using various network-search algorithms. We demonstrate that PseudomonasNet-assisted predictions can effectively identify novel genes involved in virulence and antibiotic resistance. Moreover, an antibiotic-resistance network based on PseudomonasNet reveals that P. aeruginosa has common modular genetic organisations that confer increased or decreased resistance to diverse antibiotics, which accounts for the pervasiveness of cross-resistance across multiple drugs. The same network also suggests that P. aeruginosa has developed mechanism of trade-off in resistance across drugs by altering genetic interactions. Taken together, these results clearly demonstrate the usefulness of a genome-scale functional network to investigate pathogenic systems in P. aeruginosa. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | SCIENTIFIC REPORTS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Computational Biology | - |
dc.subject.MESH | Drug Resistance, Bacterial* | - |
dc.subject.MESH | Gene Regulatory Networks | - |
dc.subject.MESH | Genes, Bacterial | - |
dc.subject.MESH | Pseudomonas aeruginosa/drug effects* | - |
dc.subject.MESH | Pseudomonas aeruginosa/pathogenicity* | - |
dc.subject.MESH | Systems Biology | - |
dc.subject.MESH | Virulence Factors/analysis* | - |
dc.title | Network-assisted investigation of virulence and antibiotic-resistance systems in Pseudomonas aeruginosa | - |
dc.type | Article | - |
dc.publisher.location | England | - |
dc.contributor.college | College of Medicine | - |
dc.contributor.department | Dept. of Microbiology | - |
dc.contributor.googleauthor | Sohyun Hwang | - |
dc.contributor.googleauthor | Chan Yeong Kim | - |
dc.contributor.googleauthor | Sun-Gou Ji | - |
dc.contributor.googleauthor | Junhyeok Go | - |
dc.contributor.googleauthor | Hanhae Kim | - |
dc.contributor.googleauthor | Sunmo Yang | - |
dc.contributor.googleauthor | Hye Jin Kim | - |
dc.contributor.googleauthor | Ara Cho | - |
dc.contributor.googleauthor | Sang Sun Yoon | - |
dc.contributor.googleauthor | Insuk Lee | - |
dc.identifier.doi | 10.1038/srep26223 | - |
dc.contributor.localId | A02558 | - |
dc.relation.journalcode | J02646 | - |
dc.identifier.eissn | 2045-2322 | - |
dc.identifier.pmid | 27194047 | - |
dc.contributor.alternativeName | Yoon, Sang Sun | - |
dc.contributor.affiliatedAuthor | Yoon, Sang Sun | - |
dc.citation.volume | 6 | - |
dc.citation.startPage | 26223 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC REPORTS, Vol.6 : 26223, 2016 | - |
dc.date.modified | 2017-02-24 | - |
dc.identifier.rimsid | 46465 | - |
dc.type.rims | ART | - |
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