Steer liver transcriptome
Differential expression of genes related to gain and intake in the liver of beef cattle.
Sex, Specimen part
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 SamplesBeef cow adipose tissue transcriptome
Differential transcript abundance in adipose tissue of mature beef cows during feed restriction and realimentation.
Specimen part
View SamplesSteer spleen transcriptome
Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake.
Specimen part
View SamplesIn the present study 23 participants completed three months of supervised aerobic exercise training of one leg (training period 1) followed by 9 months of rest before 12 of the participants completed a second exercise training period (training period 2) of three months of both legs. Skeletal muscle biopsies have been collected before and after the training periods. We have compared trained leg with untrained leg and studied gene and isoform expression. Additional samples included in this study has been previously submitted (GEO accession number GSE58387 and GSE60590). Overall design: Analyze of transcriptome in skeletal muscle biopsy samples in response to exercise training in 23 participants in total (in addition to data previously submitted GEO accession number GSE58387 and GSE60590). Biopsy is collected from skeletal muscle before and after training period.
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
View SamplesA total of 23 participants (data available in present submission and in GSE58608) completed three months of supervised aerobic exercise training of one leg. Skeletal muscle biopsies have been collected before and after the training period. We have investigated differences between trained and untrained leg and before and after training by studying the gene and isoform expression. Additional samples present in this study has been previously published (GEO accession number GSE58608). Overall design: Analysis of transcriptome in skeletal muscle biopsy samples in response to exercise training in 22 participants (of the total 23 participants). One biopsy is collected from each leg before and after training period.
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
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 24 skeletal muscle biopsy samples, 12 individuals and one biopsy per leg per individual
The Impact of Endurance Training on Human Skeletal Muscle Memory, Global Isoform Expression and Novel Transcripts.
No sample metadata fields
View SamplesSteer mesenteric fat transcriptome.
Relationships between the genes expressed in the mesenteric adipose tissue of beef cattle and feed intake and gain.
Specimen part
View SamplesSteer small intestine transcriptome
Differential gene expression in the duodenum, jejunum and ileum among crossbred beef steers with divergent gain and feed intake phenotypes.
Specimen part
View SamplesAsbestos has been shown to cause chromosomal damage and DNA aberrations. The fiber is associated with many different lung diseases such as asbestosis, malignant mesothelioma, and lung cancer, but the disease-related processes are still largely unknown. Our aim was to identify specific gene expression profiles by using Affymetrix arrays, in human cell lines A549, Beas-2B, and MeT5A exposed to asbestos in a time-dependent manner. The hybridization data was analyzed using an algorithm specifically designed for clustering short time series expression data, a canonical correlation analysis (CCA) for identifying correlations between the cell lines, and a Gene Ontology (GO) analysis method for the identification of enriched differentially expressed biological processes.
Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines.
No sample metadata fields
View Samples