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dc.contributor.authorDickinson, Paul
dc.contributor.authorSmith, Claire L.
dc.contributor.authorForster, Thorsten
dc.contributor.authorCraigon, Marie
dc.contributor.authorRoss, Alan J.
dc.contributor.authorKhondoker, Mizan R
dc.contributor.authorIvens, Alasdair
dc.contributor.authorLynn, David J.
dc.contributor.authorOrme, Judith
dc.contributor.authorJackson, Allan
dc.contributor.authorLacaze, Paul
dc.contributor.authorFlanagan, Katie L.
dc.contributor.authorStenson, Benjamin J
dc.contributor.authorGhazal, Peter
dc.date.accessioned2020-06-18T11:53:37Z
dc.date.available2020-06-18T11:53:37Z
dc.date.issued2014-11-15
dc.identifier.citationDickinson, P., Smith, C., Forster, T., Craigon, M., Ross, A., Khondoker, M., Ivens, A., Lynn, D., Orme, J., Jackson, A., Lacaze, P., Flanagan, K., Stenson, B. and Ghazal, P. Whole blood gene expression profiling of neonates with confirmed bacterial sepsis. Genomics Data, 2015, 3, 41-48. doi: https://dx.doi.org/10.1016/j.gdata.2014.11.003en_US
dc.identifier.urihttp://hdl.handle.net/11019/2019
dc.descriptionpeer-revieweden_US
dc.description.abstractNeonatal infection remains a primary cause of infant morbidity and mortality worldwide and yet our understanding of how human neonates respond to infection remains incomplete. Changes in host gene expression in response to infection may occur in any part of the body, with the continuous interaction between blood and tissues allowing blood cells to act as biosensors for the changes. In this study we have used whole blood transcriptome profiling to systematically identify signatures and the pathway biology underlying the pathogenesis of neonatal infection. Blood samples were collected from neonates at the first clinical signs of suspected sepsis alongside age matched healthy control subjects. Here we report a detailed description of the study design, including clinical data collected, experimental methods used and data analysis workflows and which correspond with data in Gene Expression Omnibus (GEO) data sets (GSE25504). Our data set has allowed identification of a patient invariant 52-gene classifier that predicts bacterial infection with high accuracy and lays the foundation for advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.en_US
dc.language.isoenen_US
dc.publisherElsevierDickinson, P., Smith, C., Forster, T., Craigon, M., Ross, A., Khondoker, M., Ivens, A., Lynn, D., Orme, J., Jackson, A., Lacaze, P., Flanagan, K., Stenson, B. and Ghazal, P. Whole blood gene expression profiling of neonates with confirmed bacterial sepsis. Genomics Data, [online] 3, pp.41-48. Available at: https://dx.doi.org/10.1016/j.gdata.2014.11.003 [Accessed 1 Aug. 2019].en_US
dc.relation.ispartofseriesGenomics Data;Vol. 3
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectNeonatal sepsisen_US
dc.subjectWhole blooden_US
dc.subjectGene expression profilingen_US
dc.subjectMicroarrayen_US
dc.titleWhole blood gene expression profiling of neonates with confirmed bacterial sepsisen_US
dc.typeArticleen_US
dc.embargo.terms2015-11-15en_US
dc.identifier.doihttps://dx.doi.org/10.1016/j.gdata.2014.11.003
dc.contributor.sponsorWellcome Trusten_US
dc.contributor.sponsorClouDx-ien_US
dc.contributor.sponsorChief Scientists Officeen_US
dc.contributor.sponsorBBSRCen_US
dc.contributor.sponsorEPSRCen_US
dc.contributor.sponsorMRCen_US
dc.contributor.sponsorTeagascen_US
dc.contributor.sponsorGrantNumberWT066784en_US
dc.contributor.sponsorGrantNumberETM202en_US
dc.contributor.sponsorGrantNumberBB/D019621/1en_US
dc.contributor.sponsorGrantNumberBB/D019621/1en_US
dc.contributor.sponsorGrantNumberG0701291en_US
dc.contributor.sponsorGrantNumberRMIS6018en_US
refterms.dateFOA2015-11-15T00:00:00Z


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