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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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dc.citation.startPage 679 -
dc.citation.title BMC GENOMICS -
dc.citation.volume 13 -
dc.contributor.author Seo, Joo-Hyun -
dc.contributor.author Hong, Jay Sung-Joong -
dc.contributor.author Kim, Donghyuk -
dc.contributor.author Cho, Byung-Kwan -
dc.contributor.author Huang, Tzu-Wen -
dc.contributor.author Tsai, Shih-Feng -
dc.contributor.author Palsson, Bernhard O. -
dc.contributor.author Charusanti, Pep -
dc.date.accessioned 2023-12-22T04:37:34Z -
dc.date.available 2023-12-22T04:37:34Z -
dc.date.created 2018-07-04 -
dc.date.issued 2012-11 -
dc.description.abstract Background: The increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae isolates, but sequence information alone does not provide important structural and operational information for its genome. Results: Here we take a systems biology approach to annotate the K. pneumoniae MGH 78578 genome at the structural and operational levels. Through the acquisition and simultaneous analysis of multiple sample-matched -omics data sets from two growth conditions, we detected 2677, 1227, and 1066 binding sites for RNA polymerase, RpoD, and RpoS, respectively, 3660 RNA polymerase-guided transcript segments, and 3585 transcription start sites throughout the genome. Moreover, analysis of the transcription start site data identified 83 probable leaderless mRNAs, while analysis of unannotated transcripts suggested the presence of 119 putative open reading frames, 15 small RNAs, and 185 antisense transcripts that are not currently annotated. Conclusions: These findings highlight the strengths of systems biology approaches to the refinement of sequence-based annotations, and to provide new insight into fundamental genome-level biology for this important human pathogen. -
dc.identifier.bibliographicCitation BMC GENOMICS, v.13, pp.679 -
dc.identifier.doi 10.1186/1471-2164-13-679 -
dc.identifier.issn 1471-2164 -
dc.identifier.scopusid 2-s2.0-84870057527 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/24290 -
dc.identifier.url https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-13-679 -
dc.identifier.wosid 000313032200001 -
dc.language 영어 -
dc.publisher BIOMED CENTRAL LTD -
dc.title Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features -
dc.type Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Klebsiella pneumoniae -
dc.subject.keywordAuthor Infectious disease -
dc.subject.keywordAuthor Transcriptional architecture -
dc.subject.keywordAuthor Omics data -
dc.subject.keywordAuthor Systems biology -
dc.subject.keywordPlus PYOGENIC LIVER-ABSCESS -
dc.subject.keywordPlus DIAMINOPIMELATE DECARBOXYLASE SYNTHESIS -
dc.subject.keywordPlus RNA-ENCODING GENES -
dc.subject.keywordPlus ESCHERICHIA-COLI -
dc.subject.keywordPlus ANTIBIOTIC-RESISTANCE -
dc.subject.keywordPlus SEROTYPE K1 -
dc.subject.keywordPlus NOSOCOMIAL PATHOGENS -
dc.subject.keywordPlus HELICOBACTER-PYLORI -
dc.subject.keywordPlus BINDING-PROTEIN -
dc.subject.keywordPlus GROWTH-PHASE -

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