E-MEXP-2069
Ontology highlight
ABSTRACT:
PROVIDER: E-MEXP-2069 | ExpressionAtlas | 2015-10-22
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-MEXP-2069-analysis-methods.tsv | Tabular | |||
| E-MEXP-2069-atlasExperimentSummary.Rdata | Rdata | |||
| E-MEXP-2069-configuration.xml | Xml | |||
| E-MEXP-2069-configuration.xml.beforeQC | Xml | |||
| E-MEXP-2069-percentile-ranks.tsv | Tabular |
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Project description:Profiling of circulating miRNAs before, 60 mins, 1day and 3 days after an acute resistance exercise. Three subjects performed an acute resistance exercise. The resistance exercise consisted of two consecutive exercises (bench press and bilateral leg press), consisting of five sets of 10 repetitions at 70% of 1 RM. The subjects were allowed to rest for 1 min between each set and exercise. The subjects were instructed to lift and lower the load at a constant velocity, taking about 2 s for each repetition. If the load became too heavy, the subject was assisted. The range of motion in each exercise was from 90° to 0° (0° at full extension). Blood samples were taken before, 60 mins, 1day and 3days after the exercise.
2013-06-29 | E-GEOD-48405 | biostudies-arrayexpress
Project description:We sequenced the whole mRNA of six thoroughbred horse (Equus caballus) blood and muscle tissues before and after exercising, generating a total of 1.3 billion short reads with 90-bp pair-end sequences from 24 samples. Comparing with current genome annotation, we identified 32,361 unigene clusters spanning 51.83 Mb that contained 11,933 (36.87%) annotated genes. More than 60% (20,428) unigene clusters did not match any current equine gene model. We identified 189,973 single nucleotide variations (SNVs) from the aligned sequences against the horse reference. Most SNVs (171,558 SNVs; 90.31%) were novel compared with over 1.1 million equine SNPs from two databases. Some genes have significantly different expression levels under different environment. We define those identical genes which have different expression levels are ‘differentially expressed’ and carried out differentially expressed gene analysis before and after exercise conditions. We discovered, 62 up- and 80 down-regulated genes in the blood and 878 up- and 285 down-regulated genes in the muscle from the 24 samples. Six out of 28 previously exercise-related known genes, HIF1A, ADRB2, PPARD, VEGF, TNC, and BDNF, were highly expressed in the muscle after exercise. We discovered 56 functionally unknown transcription factors that are probably associated with an early regulatory exercise mechanism from 91 differentially expressed transcription factors. We found interesting RNA expression patterns where different alternative splicing forms of the same gene showed reversed expressions before and after exercising. whole mRNA sequencing profiles of six thoroughbred horse (Equus caballus) blood and muscle tissues before and after exercising
2013-05-01 | E-GEOD-37870 | biostudies-arrayexpress
Project description:Regular physical exercise reduces cardiovascular disease (CVD) morbidity and mortality through several biological mechanisms. We were interested in white blood cell microRNA expression in response to exercise. Ten healthy adult males (19-39 years old) undertook 30 minutes of continuous treadmill running at 80% of maximal oxygen uptake (VO2max). Blood samples were taken before and immediately after exercise. Whole-genome microRNAs were then analysed in the extracted RNA.
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Project description:The aim of the current study was to characterize the genetic adaptive pathways altered by exercise in veteran athletes and age-matched untrained individuals. Two groups of 50-60 year old males: competitive cyclists and untrained, minimally active individuals were examined. All participants completed an acut bout of submaximal endurance exercise and blood samples pre- and post-exercise were analyzed for gene expression changes utilizing genome-wide DNA microarray analysis. Our results indicate distinct differences in gene expression involving energy metabolism, lipids, insuling signaling and cardiovascular function between the two groups. These findings may lead to new insights into beneficial signaling pathways of healthy aging and help identify surrogate markers for monitoring exercise and training load. Blood samples from the control and athlete groups were analyzed at three time-points: T1 (before exercise); T2 (immediately after exercise) and T3 (24 hours after exercise). There were n = 4 samples in each of control and athlete group at T1 and T3; and n = 7 for control group and n = 8 for athlete group at T2. One athlete sample (Sample # 010201) at time - point T2 had a technical replicate.
2013-09-27 | E-GEOD-51216 | biostudies-arrayexpress
Project description:Capacity of exercise and performance is the most valuable in the horses. They have been selected for strength, speed, and indurance trait. Athletic pheno types are influenced markedly by environment, management, and training. However, it has long been accepted that there are underlying genetic factors. To determine altered mRNA expression in circulating leukocytes of horses induced by exercise. Healthy neutered male warmblood horses were subjected to indoor exercise (trotting with alternative cantering for 6o minutes). Peripheral blood was collected from the jugular vein before and after the exercise, and subsequently buffy coat leukocytes were isolated by centrifugation. Total RNAs was isolated. Cyanine 3-labeled cRNA (complementary RNA) was generated from Agilentâs Low RNA Input Linear Amplification kit with 500 ng total RNA. Labeled cRNA was applied microarray (Agilent technologies, 8x60K) using Agilentâs Gene Expression Hybridization Kit. The present study revealed a subset of mRNAs in equine peripheral blood leukocytes affected by exercise, providing background information for genes associated with exercise in warm-blood horses. Three healthy, gelding warmblood horses between 9 and 17 yr were selected. 6 samples were collected containing 3 samples before exercise and 3 samples after exercise
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2013-05-01 | GSE37870 | GEO
Project description:Relatively brief bouts of exercise alter gene expression in peripheral blood mononuclear cells (PBMCs), but whether or not exercise changes gene expression in circulating neutrophils (whose numbers, like PBMCs, increase) is not known. We hypothesized that exercise would activate neutrophil genes involved in apoptosis, inflammation, and cell growth and repair, since these functions in leukocytes are known to be influenced by exercise. Blood was sampled before and immediately after 30-min of constant, heavy (about 80% peak O2 uptake) cycle-ergometer exercise in 12 healthy men (19-29 yr old) of average fitness. Neutrophils were isolated using density gradients; RNA was hybridized to Affymetrix U133+2 Genechip arrays. Using FDR<0.05 with 95% confidence a total of 526 genes were differentially expressed between before and after exercise. 316 genes had higher expression after exercise. The Jak/STAT pathway, known to inhibit apoptosis, was significantly activated (EASE score, p<0.005), but 14 genes were altered in a way likely to accelerate apoptosis as well. Similarly, both proinflammatory (e.g., IL32, TNFSF8 and CCR5) and anti-inflammatory (e.g., ANXA1) were affected. Growth and repair genes like AREG and FGF2 receptor genes (involved in angiogenesis) were also activated. Finally, a number of neutrophil genes known to be involved in pathological conditions like asthma and arthritis were altered by exercise, suggesting novel links between physical activity and disease or its prevention. In summary, brief heavy exercise leads to a previously unknown substantial and significant alteration in neutrophil gene expression. Experiment Overall Design: Twelve healthy men (19-29 yr old) participated in this study. A baseline blood sample was taken before the onset of exercise and immediately after 30-min exercise bout. Neutrophils were isolated using OptiPrep Density Gradient Medium (SIGMA). Total RNA was extracted using TRIzol. cRNA was hybridized onto Affymetrix U133+2 arrays (total of 24 chips).
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Project description:MiRNAs are essential mediators of many biological processes. The aim of this study was to investigate the dynamics of miRNA-mRNA regulatory networks during exercise and subsequent recovery period. Here we monitored the transcriptome changes by microarray analysis of the whole blood of eight highly trained athletes after 30 min of moderate exercise followed by 30 min and 60 min of recovery period. We combined expression profiling and bioinformatics and analysed metabolic pathways enriched with differentially expressed mRNAs and then mRNAs which are known to be validated targets of differentially expressed miRNAs. Finally we revealed four dynamically regulated networks comprising differentially expressed miRNAs and their known target mRNAs with anti-correlated expression profiles over time. The data suggest that hsa-miR-21-5p regulated TGFBR3, PDGFD and PPM1L mRNAs. Hsa-miR-24-2-5p was likely to be responsible for MYC and KCNJ2 genes and hsa-miR-27a-5p for ST3GAL6. The targets of hsa-miR-181a-5p included ROPN1L and SLC37A3. All these mRNAs are involved in processes highly relevant to exercise response, including immune function, apoptosis, membrane traffic of proteins and transcription regulation. We have identified four miRNA-mRNA networks dynamically regulated following exercise. This work is the first study to monitor miRNAs and mRNAs in parallel into recovery period. The results provide a novel insight into the regulatory role of miRNAs in stress adaptation. Each subject performed a treadmill test with an incremental step protocol until exhaustion. Blood samples were taken from the antecubital vein using indwelling catheter before (T1), immediately after ramp test to exaustion (T2) and after 30 min of recovery (T3). Two weeks later, athletes participated in the main exercise, consisting of running at 80% VO2 peak for 30 min on a treadmill. Blood samples were taken from the antecubital vein using indwelling catheter before (T4), immediately after running at 80% VO2 peak for 30 min on a treadmill (T5), after 30 min (T6) and 60 min (T7) of recovery.
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