Whole blood gene expression profiling of neonates with confirmed bacterial sepsis

Paul Dickinson, Claire L Smith, Thorsten Forster, Marie Craigon, Alan Ross, Mizanur R. Khondoker, Alasdair Ivens, David J Lynn, Judith Orme, Allan Jackson, Paul Lacaze, K. L. Flanagan, Ben Stenson, Peter Ghazal

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)41-48
JournalGenomics Data
Volume3
Early online date27 Nov 2014
DOIs
Publication statusPublished - Mar 2015

Keywords

  • Neonatal sepsis
  • Whole blood
  • Gene expression profiling
  • Microarray

Fingerprint

Dive into the research topics of 'Whole blood gene expression profiling of neonates with confirmed bacterial sepsis'. Together they form a unique fingerprint.

Cite this