Lung disease death predictor gene expression

Towards individual radiosensitivity / late radiation injury: Dose estimates provide only a general idea of the average radiation injury expected across a population. Predictors of individual radiation injury response and outcome will be even more useful. Building on our successful studies of blood-based transcriptomic predictors for individualized radiation-induced ARS mortality, we will assess the utility of gene expression biomarkers for the individualized prediction of later mortality from lung injury. We will develop signatures of injury and recovery, and use mouse models to investigate the impact of inflammatory pathways on our biodosimetric signatures. We then performed gene expression profiling analysis using data obtained from RNA-seq of 4 different cells at two time points. Overall design: Comparative gene expression profiling analysis of RNA-seq data for blood cell response to radiation and for identification of survival biomarkers for delayed lung injury