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GSE7404
Mus musculus
144 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We 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.
Publication Title
Comparison of longitudinal leukocyte gene expression after burn injury or trauma-hemorrhage in mice.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 182 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Physiological, 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.
Publication Title
A genomic score prognostic of outcome in trauma patients.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 19 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Neutrophils play critical roles in modulating the immune response. However, neutrophils have a short circulating half life, are readily stimulated in vitro, and have low levels of cellular mRNA when compared to other blood leukocyte populations. All of these factors have made it difficult to evaluate neutrophils from clinical populations for molecular and functional studies.
Publication Title
Clinical microfluidics for neutrophil genomics and proteomics.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 110 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Oligonucleotide 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.
Publication Title
A network-based analysis of systemic inflammation in humans.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 856 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
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
Publication Title
A genomic storm in critically injured humans.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 587 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Blood 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.
Publication Title
Genomic responses in mouse models poorly mimic human inflammatory diseases.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 45 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This data was used as an example to illustrate a computational method for assessing statistical significance in microarray experiments
Publication Title
Assessing statistical significance in microarray experiments using the distance between microarrays.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We propose a method to compare the location and variability of gene ex-pression between two groups of microarrays using a permutation test based on the pairwise distance between microarrays. The microarrays could be samples from distinct clinical or biological populations or microarrays prepared at two different levels of an experimental factor. For these tests the entire microarray or some pre-specifed subset of genes, not the individual gene, is the unit of analysis. We apply this method to compare results from two dfferent protocols for preparing labeled targets for microarray hybridization and their subsequent gene expression analysis.
Publication Title
Assessing statistical significance in microarray experiments using the distance between microarrays.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 177 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To understand the age-dependent response to burn injury, blood samples from pediatric and adult patients were collected at different times after severe burn injury.
Publication Title
Analysis of factorial time-course microarrays with application to a clinical study of burn injury.
Sample Metadata Fields
Sex, Disease
View Samples- Homo sapiens
- 88 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
expression files supporting: Application of genome-wide expression analysis to human health and disease. PNAS
Publication Title
Application of genome-wide expression analysis to human health and disease.
Sample Metadata Fields
No sample metadata fields
View Samples