Hypothermia affects the body in positive and negative consequences. In cardiac, hypothermia depresses myocardial contraction, slows conduction, and decreases metabolic rate. However, little is known about the molecular mechanism. Here we compare the genes expression of human adult ventricular cardiomyocyte cells (AC16) treated with hypothermia, trying to find changes under different temperatures and then elucidate the candidate genes that may play important roles in the response to hypothermia. A total of 2413 differentially expressed genes (DEGs) were identified by microarray hybridization, which provided abundant data for further analysis. Gene Ontology enrichment analysis revealed that genes related to gene transcriptions, protein and lipid metabolic were significantly enriched. KEGG analysis showed that DEGs were significantly enriched in TGF- pathway and cytokine-cytokine receptor interaction, which may play important roles in response to hypothermia. A set of TFs (CPBP, Churchill, NF-AT1, GKLF, SRY, ZNF333, ING4, myogenin, DRI1 and CRX) was recognized to be the functional layer of key nodes, which mapped the signal of hypothermia to transcriptome. These identified DEGs, pathways and predicted TF could facilitate further investigations of the detailed molecular mechanisms, making it possible to take advantage of the potential applications of hypothermia in broader ranger
No associated publication
Cell line
View SamplesAtrial fibrillation (AF) is currently the most prevalent arrhythmia worldwide.Recent clinical data implicate the additional contribution of non-coding RNAs in the pathogenesis of AFwhich include microRNAs(miRNAs), endogenous small interfering RNAs, PIWIinteracting RNAs, and lncRNA. Notably, a growing number of lncRNAs have been implicated in disease etiology, although an association with AF has not been reported.
No associated publication
Sex
View SamplesHuman 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 Samples