A protein interaction network associated with asthma

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dc.contributor.authorHwang, Sohyunko
dc.contributor.authorSon, Seung-Wooko
dc.contributor.authorKim, Sang Cheolko
dc.contributor.authorKim, Young Jooko
dc.contributor.authorJeong, Hawoongko
dc.contributor.authorLee, Doheonko
dc.date.accessioned2010-03-04T02:09:32Z-
dc.date.available2010-03-04T02:09:32Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2008-06-
dc.identifier.citationJOURNAL OF THEORETICAL BIOLOGY, v.252, no.4, pp.722 - 731-
dc.identifier.issn0022-5193-
dc.identifier.urihttp://hdl.handle.net/10203/16917-
dc.description.abstractIdentifying candidate genes related to complex diseases or traits and mapping their relationships require a system-level analysis at a cellular scale. The objective of the present study is to systematically analyze the complex effects of interrelated genes and provide a framework for revealing their relationships in association with a specific disease (asthma in this case). We observed that protein-protein interaction (PPI) networks associated with asthma have a power-law connectivity distribution as many other biological networks have. The hub nodes and skeleton substructure of the result network are consistent with the prior knowledge about asthma pathways, and also suggest unknown candidate target genes associated with asthma, including GNB2L1, BRCA1, CBL, and VAV1. In particular, GNB2L1 appears to play a very important role in the asthma network through frequent interactions with key proteins in cellular signaling. This network-based approach represents an alternative method for analyzing the complex effects of candidate genes associated with complex diseases and suggesting a list of gene drug targets. The full list of genes and the analysis details are available in the following online supplementary materials: http://biosoft.kaist.ac.kr:8080/resources/asthma-Ppi. (C) 2008 Elsevier Ltd. All rights reserved.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherACADEMIC PRESS LTD ELSEVIER SCIENCE LTD-
dc.subjectBRONCHIAL EPITHELIAL-CELLS-
dc.subjectGROWTH-FACTOR RECEPTOR-
dc.subjectGENE-EXPRESSION-
dc.subjectCOMMUNITY STRUCTURE-
dc.subjectSCAFFOLD PROTEIN-
dc.subjectTYROSINE KINASE-
dc.subjectACTIVATION-
dc.subjectCOMPLEX-
dc.subjectCENTRALITY-
dc.subjectRESOURCE-
dc.titleA protein interaction network associated with asthma-
dc.typeArticle-
dc.identifier.wosid000257333500012-
dc.identifier.scopusid2-s2.0-44449119819-
dc.type.rimsART-
dc.citation.volume252-
dc.citation.issue4-
dc.citation.beginningpage722-
dc.citation.endingpage731-
dc.citation.publicationnameJOURNAL OF THEORETICAL BIOLOGY-
dc.identifier.doi10.1016/j.jtbi.2008.02.011-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorJeong, Hawoong-
dc.contributor.localauthorLee, Doheon-
dc.contributor.nonIdAuthorHwang, Sohyun-
dc.contributor.nonIdAuthorSon, Seung-Woo-
dc.contributor.nonIdAuthorKim, Sang Cheol-
dc.contributor.nonIdAuthorKim, Young Joo-
dc.type.journalArticleArticle-
dc.subject.keywordAuthordisease network-
dc.subject.keywordAuthorprotein-protein interaction-
dc.subject.keywordAuthormicroarray expression-
dc.subject.keywordAuthorsystem biology-
dc.subject.keywordPlusBRONCHIAL EPITHELIAL-CELLS-
dc.subject.keywordPlusGROWTH-FACTOR RECEPTOR-
dc.subject.keywordPlusGENE-EXPRESSION-
dc.subject.keywordPlusCOMMUNITY STRUCTURE-
dc.subject.keywordPlusSCAFFOLD PROTEIN-
dc.subject.keywordPlusTYROSINE KINASE-
dc.subject.keywordPlusACTIVATION-
dc.subject.keywordPlusCOMPLEX-
dc.subject.keywordPlusCENTRALITY-
dc.subject.keywordPlusRESOURCE-
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