Human survival from injury requires an appropriate inflammatory and immune response. We describe the circulating leukocyte transcriptome after severe trauma and show that the severe stress produce a global
A genomic storm in critically injured humans.
Sex, Age, Specimen part
View SamplesBlood was sampled from severe burns patients over time as well as healthy subjects. Genome-wide expression analyses were conducted using the Affymetrix U133 plus 2.0 GeneChip.
Genomic responses in mouse models poorly mimic human inflammatory diseases.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis.
Specimen part, Cell line, Treatment, Subject
View SamplesPhysiological, anatomical, and clinical laboratory analytic scoring systems (APACHE, Injury Severity Score (ISS)) have been utilized, with limited success, to predict outcome following injury. We hypothesized that a peripheral blood leukocyte gene expression score could predict outcome, including multiple organ failure, following severe blunt trauma.
A genomic score prognostic of outcome in trauma patients.
Sex, Age
View SamplesWe report here the genes that are sequentially expressed in white blood cells from blood and spleen at 2 hours, 2 day,3 days, and 7 days after burn and sham injury or trauma-hemorrhage (T-H) and sham T-H. Includes WBC treated with LPS for 2 hours and 1 day.
Comparison of longitudinal leukocyte gene expression after burn injury or trauma-hemorrhage in mice.
Specimen part, Treatment, Time
View SamplesThis SuperSeries is composed of the SubSeries listed below.
STAT6 transcription factor is a facilitator of the nuclear receptor PPARγ-regulated gene expression in macrophages and dendritic cells.
Specimen part, Treatment, Subject, Time
View SamplesOligonucleotide and complementary DNA microarrays are being used to subclassify histologically similar tumours, monitor disease progress, and individualize treatment regimens. However, extracting new biological insight from high-throughput genomic studies of human diseases is a challenge, limited by difficulties in recognizing and evaluating relevant biological processes from huge quantities of experimental data. Here we present a structured network knowledge-base approach to analyse genome-wide transcriptional responses in the context of known functional interrelationships among proteins, small molecules and phenotypes. This approach was used to analyse changes in blood leukocyte gene expression patterns in human subjects receiving an inflammatory stimulus (bacterial endotoxin). We explore the known genome-wide interaction network to identify significant functional modules perturbed in response to this stimulus. Our analysis reveals that the human blood leukocyte response to acute systemic inflammation includes the transient dysregulation of leukocyte bioenergetics and modulation of translational machinery. These findings provide insight into the regulation of global leukocyte activities as they relate to innate immune system tolerance and increased susceptibility to infection in humans.
A network-based analysis of systemic inflammation in humans.
No sample metadata fields
View Samplesgene expression profiles of leukocytes from blood (WBCs) and spleen harvested at an early (two hours) time point after injury or sham injury in mice subjected to trauma-hemorrhage, burn injury or lipopolysaccharide (LPS)-infusion at three experimental sites
Commonality and differences in leukocyte gene expression patterns among three models of inflammation and injury.
No sample metadata fields
View Samplesexpression files supporting: Application of genome-wide expression analysis to human health and disease. PNAS
Application of genome-wide expression analysis to human health and disease.
No sample metadata fields
View SamplesT cell exhaustion is a well-defined process diminishing the efficacy of the CD8 response in persistent viremia. What is less understood is whether early differences in T cell regulation already predetermine the fate of the T cell response and infection outcome. Its dichotomous outcome that is unique among human viral infections makes hepatitis C virus infection uniquely suited to compare transcriptional regulation between HCV-specific CD8 T cells that do and do not achieve viral control.
No associated publication
Sex, Age, Specimen part, Race, Subject, Time
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