Microarray based mRNA profiling was used to identify the mechanism of action for the small molecule b-AP15.
Inhibition of proteasome deubiquitinating activity as a new cancer therapy.
Cell line, Treatment
View SamplesVitamin A is the only known compound that produces spontaneous fractures in rats. In an effort to resolve the molecular mechanism behind this effect, we fed young rats high doses of vitamin A and performed a global transcriptional analysis of diaphyseal bone after one week, i.e. just before the first fractures appeared. Microarray gene expression analysis revealed that 68 transcripts were differentially expressed in hypervitaminotic cortical bone and 118 transcripts were found when the bone marrow was also included. 98% of the differentially expressed genes in the bone marrow sample were up-regulated. In contrast, hypervitaminotic cortical bone without marrow showed reduced expression of 37% of differentially expressed genes. Gene Ontology (GO) analysis revealed that only samples containing bone marrow were associated to a GO term, which principally represented extracellular matrix (ECM). This is consistent with the histological findings of increased endosteal bone formation. Four of the genes in this ECM cluster and four other genes, including Cyp26b1 which is known to be up-regulated by vitamin A, were selected and verified by real-time PCR. In addition, immunohistochemical staining of bone sections confirmed that the bone-specific molecule, osteoadherin (Omd) was up-regulated. Further analysis of the major gene expression changes revealed distinct differences between cortical bone and bone marrow, e.g. there appeared to be augmented Wnt signaling in the bone marrow but reduced Wnt signaling in cortical bone. Moreover, induced expression of hypoxia-associated genes was only found in samples containing bone marrow. Together, these results corroborate our previous observations of compartment-specific effects of vitamin A, with reduced periosteal but increased endosteal bone formation, and suggest important roles for Wnt signaling and hypoxia in the processes leading to spontaneous fractures.
Microarray profiling of diaphyseal bone of rats suffering from hypervitaminosis A.
Sex, Age, Specimen part, Disease
View SamplesWe performed microarray analysis to investigate the gene expression profile changes induced by Hmg20b knock down in I/11 cells.
The DNA binding factor Hmg20b is a repressor of erythroid differentiation.
Specimen part
View SamplesSteer liver transcriptome
Differential expression of genes related to gain and intake in the liver of beef cattle.
Sex, Specimen part
View SamplesThe specific contribution of the two TNF-receptors Tnfr1 and Tnfr2 to TNF-induced inflammation in the glomerulus is unknown. In mice, TNF exposure induces glomerular expression of inflammatory mediators like adhesion molecules and chemokines in vivo, and glomerular accumulation of leukocytes.
Distinct contributions of TNF receptor 1 and 2 to TNF-induced glomerular inflammation in mice.
Specimen part, Treatment
View Samples593 FFPE colorectal cancer samples were used to generate three prediction models: Recurrence prediction, 5FU efficacy prediction, and FOLFOX efficacy prediction
Building personalized treatment plans for early-stage colorectal cancer patients.
Specimen part
View SamplesExpression profiling of cultured HL-1 cardiomyocytes subjected to hypoxia for 8 hours.
The VLDL receptor promotes lipotoxicity and increases mortality in mice following an acute myocardial infarction.
Cell line
View SamplesThe amount of RNA sequencing data on skeletal muscle is very limited. We have analyzed a large set of human muscle biopsy samples and provide extensive information on the baseline skeletal muscle transcriptome, including completely novel protein-coding transcripts. Overall design: Analyze of transcriptome in 23 skeletal muscle biopsy samples from six individuals. Four biopsies from each subject, two biopsies from each leg (except subject 6 which has only three biopsies in total).
The human skeletal muscle transcriptome: sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing.
No sample metadata fields
View SamplesSepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances.
Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study.
Sex, Specimen part, Subject, Time
View SamplesBeef cow adipose tissue transcriptome
Differential transcript abundance in adipose tissue of mature beef cows during feed restriction and realimentation.
Specimen part
View Samples