Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/53668
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dc.contributorDepartment of Health Technology and Informatics-
dc.creatorChan, LWC-
dc.creatorLin, XH-
dc.creatorYung, G-
dc.creatorLui, T-
dc.creatorChiu, YM-
dc.creatorWang, FF-
dc.creatorTsui, NBY-
dc.creatorCho, WCS-
dc.creatorYip, SP-
dc.creatorSiu, PM-
dc.creatorWong, SCC-
dc.creatorYung, BYM-
dc.date.accessioned2016-06-27T06:27:36Z-
dc.date.available2016-06-27T06:27:36Z-
dc.identifier.urihttp://hdl.handle.net/10397/53668-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/en_US
dc.rightsThe following Nature Publishing Group publication Chan, L. W., Lin, X., Yung, G., Lui, T., Chiu, Y. M., Wang, F., ... & Wong, S. C. (2015). Novel structural co-expression analysis linking the NPM1-associated ribosomal biogenesis network to chronic myelogenous leukemia. Scientific reports, 5, 10973 is available at http://dx.doi.org/10.1038/srep10973en_US
dc.titleNovel structural co-expression analysis linking the NPM1-associated ribosomal biogenesis network to chronic myelogenous leukemiaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume5-
dc.identifier.doi10.1038/srep10973-
dcterms.abstractCo-expression analysis reveals useful dysregulation patterns of gene cooperativeness for understanding cancer biology and identifying new targets for treatment. We developed a structural strategy to identify co-expressed gene networks that are important for chronic myelogenous leukemia (CML). This strategy compared the distributions of expressional correlations between CML and normal states, and it identified a data-driven threshold to classify strongly co-expressed networks that had the best coherence with CML. Using this strategy, we found a transcriptome-wide reduction of co-expression connectivity in CML, reflecting potentially loosened molecular regulation. Conversely, when we focused on nucleophosmin 1(NPM1) associated networks, NPM1 established more co-expression linkages with BCR-ABL pathways and ribosomal protein networks in CML than normal. This finding implicates a new role of NPM1 in conveying tumorigenic signals from the BCR-ABL oncoprotein to ribosome biogenesis, affecting cellular growth. Transcription factors may be regulators of the differential co-expression patterns between CML and normal.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScientific reports, 24 July 2015, 5: 10973, p.1-13-
dcterms.isPartOfScientific reports-
dcterms.issued2015-07-24-
dc.identifier.scopus2-s2.0-84937938535-
dc.identifier.pmid26205693-
dc.identifier.eissn2045-2322-
dc.identifier.rosgroupid2015000751-
dc.description.ros2015-2016 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0021-n03en_US
dc.description.pubStatusPublisheden_US
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