Whole blood gene expression profiling of neonates with confirmed bacterial sepsis

Dickinson, Paul, Smith, Claire L., Forster, Thorsten, Craigon, Marie, Ross, Alan J., Khondoker, Mizanur R., Ivens, Alasdair, Lynn, David J., Orme, Judith, Jackson, Allan, Lacaze, Paul, Flanagan, Katie L., Stenson, Benjamin J. and Ghazal, Peter (2015) Whole blood gene expression profiling of neonates with confirmed bacterial sepsis. Genomics Data, 3. pp. 41-48. ISSN 2213-5960

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Abstract

Neonatal 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.

Item Type: Article
Additional Information: © 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
Uncontrolled Keywords: neonatal sepsis,whole blood,gene expression profiling,microarray
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Depositing User: Pure Connector
Date Deposited: 24 Sep 2016 00:39
Last Modified: 17 Mar 2020 22:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/60160
DOI: 10.1016/j.gdata.2014.11.003

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