GEO DataSets

Analysis of soleus muscle of animals artificially selected for high and low inborn maximal oxygen uptake (VO2max) that were subjected to exercise-training. Low VO2max has a strong link to cardiovascular disease (CVD). Results provide insight into molecular mechanisms underlying low VO2max.

Organism:

Rattus norvegicus

Type:

Expression profiling by array, transformed count, 2 protocol, 2 strain sets

Platform:

GPL1355

Series:

GSE10527

16 Samples

Download data: CEL

(Submitter supplied) Purpose: Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between inborn aerobic capacity and soleus gene expression we examined genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity (HCR and LCR, respectively) over 16 generations. The artificial selection of LCR caused accumulation of risk factors of cardiovascular disease similar to the metabolic syndrome seen in man, whereas HCR had markedly better cardiac function. more...

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Dataset:

GDS4035

Platform:

GPL1355

16 Samples

Download data: CEL

(Submitter supplied) Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between aerobic capacity and cardiac gene expression we examined genome-wide gene expression in hearts of rats artificially selected for high- and low running capacity (HCR and LCR, respectively) over 16 generations. HCR were born with an athletic phenotype, whereas LCR exhibited features of the metabolic syndrome. more...

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Dataset:

GDS3131

Platform:

GPL1355

16 Samples

Download data: CEL

Analysis of hearts from low (LCRs) and high capacity runners (HCRs) with or without exercise training. Aerobic capacity is a strong predictor of cardiovascular mortality. Results provide insight into the molecular basis for the difference in inborn aerobic capacity in the LCRs and HCRs.

Organism:

Rattus norvegicus

Type:

Expression profiling by array, transformed count, 2 protocol, 2 strain sets

Platform:

GPL1355

Series:

GSE9445

16 Samples

Download data: CEL

(Submitter supplied) We used old (~96-102 weeks of age) and young (~28-34 weeks of age) rats from HCR and LCR generations 29 and 32, respectively. The study included eight groups; HCR-Old-Exhausted (H-O-E, n=6), HCR-Old-Rest (H-O-R, n=6), HCR-Young-Exhausted (H-Y-E, n=6), HCR- Young -Rest (H-Y-R, n=6), LCR-Old-Exhausted (L-O-E, n=6), LCR-Old-Rest (L-O-R, n=6), LCR-Young-Exhausted (L-Y-E, n=6), and LCR- Young -Rest (L-Y-R, n=6). more...

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Platform:

GPL19271

48 Samples

Download data: CEL

(Submitter supplied) Epidemiological studies reveal a strong link between low aerobic capacity and metabolic and cardiovascular diseases. Two-way artificial selection of rats based on low and high intrinsic exercise capacity has produced two strains that also differ in risk for metabolic syndrome (Koch LG, Britton SL. Artificial selection for intrinsic aerobic endurance running capacity in rats. Physiol Genomics 5:45-52, 2001). more...

Organism:

Rattus norvegicus

Type:

Expression profiling by array

Dataset:

GDS3723

Platform:

GPL6101

24 Samples

Download data: TXT

Analysis of gastrocnemius muscle from strains of low and high inherited aerobic exercise capacity; these strains also differ in their risk for metabolic syndrome. Results provide insight into the link between oxygen metabolism and metabolic disease risk factors.

Organism:

Rattus norvegicus

Type:

Expression profiling by array, count, 2 strain sets

Platform:

GPL6101

Series:

GSE17190

24 Samples

Download data

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL9454 GPL570

65 Samples

Download data: CEL

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

4 related Platforms

1531 Samples

Download data: CEL

(Submitter supplied) Digital gene expression profiling was used to characterize the assembly of genes expressed in equine skeletal muscle and to identify the subset of genes that were differentially expressed following a ten month period of exercise training. The study cohort comprised 7 thoroughbred racehorses from a single training yard. Skeletal muscle biopsies were collected at rest from the gluteus medius at two time points: T1 (unconditioned), (9 +/- 0.5 months old) and T2 (conditioned) (20 +/- 0.7 months old). more...

Organism:

Equus caballus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL10300

13 Samples

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(Submitter supplied) Exercise is beneficial to human’s health, and many of the effects are mediated by changes in immune function. However, the mechanisms underpinning the immune-regulatory effect of exercise remain unclear. We used microarrays to assess the global gene expression in blood leukocytes in young endurance athletes and non-athlete controls, the differential gene expression between two groups was analzyed using bioinformatic methods and enriched biological processes and pathways were identified for up- and down-regulated genes in athletes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

23 Samples

Download data: CEL

(Submitter supplied) While the salutary effects of exercise training on conduit artery endothelial cells have been reported in animals and humans with cardiovascular risk factors or disease, whether a healthy endothelium is alterable with exercise training is less certain. The purpose of this study was to evaluate the impact of exercise training on transcriptional profiles in normal endothelial cells using a genome-wide microarray analysis. more...

Organism:

Sus scrofa

Type:

Expression profiling by array

Platform:

GPL3533

29 Samples

Download data: CEL