Project description:Transcriptional responses in lungs of mice infected with Respiratory Syncytial Virus (RSV) were compared to a control and mock infections
Project description:In this dataset, we identify microRNAs and other ncRNAs in neuronal (SHSY5Y) cells following a 12h or 24h infection with Respiratory Syncytial Virus (RSV) or Measles virus (MeV) relative to mock treated neuronal cells
Project description:In this study we investigated whether there exists a genomic signature that can accurately predict the course of a respiratory syncytial virus (RSV) infection in hospitalized young infants. We used early blood microarray transcriptome profiles from 39 infants that were followed until recovery and of which the level of disease severity was determined retrospectively. Applying support vector machine learning on age by sex standardized transcriptomic data, an 84 gene signature was identified that discriminated hospitalized infants with eventually less severe RSV infection from infants that suffered from most severe RSV disease.
