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accession-icon GSE10527
Genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

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. We also studied alterations in gene expression in response to exercise training in the two groups, since accumulating evidence indicates that exercise has profound beneficial effects on the metabolic syndrome.

Publication Title

Gene expression profiling of skeletal muscle in exercise-trained and sedentary rats with inborn high and low VO2max.

Sample Metadata Fields

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accession-icon GSE9445
Low and High Capacity Runners - Sedentary and Trained: Left Ventricle
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

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.

Publication Title

Aerobic capacity-dependent differences in cardiac gene expression.

Sample Metadata Fields

Sex

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accession-icon GSE5910
Octreotide LAR and the oxyntic mucosa
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Previous studies have shown that treatment with the somatostatin analogue octreotide LAR causes regression of gastric ECL-cell carcinoids in patients with hypergastrinaemia due to chronic atrophic gastritis, reducing both the number and size of tumours. The main objective of the present study was to examine the molecular mechanisms behind the antiproliferative effect of octreotide in the oxyntic mucosa on a genome wide scale. Female Sprague-Dawley rats were dosed with octreotide LAR and control group were given the LAR vehicle for 21 days. Serum gastrin levels were measured and tissue samples for histology and RNA extraction collected from the oxyntic mucosa. Histomorphological examination showed a significant decrease in the number of gastric glands, cells per gland and length of glands, indicating a negative effect of octreotide on growth of the oxyntic mucosa. Further immunohistochemical studies showed a tendency towards increased apoptosis and decreased proliferation in the group receiving octreotide. Affymetrix GeneChip microarrays were used to detect differentially expressed genes. Many regulated genes could be related to regulation of apoptosis, fewer to proliferation, and the largest group of regulated genes was transcriptional factors several of which may be involved in regulation of growth. Control studies using quantitative real-time RT-PCR showed a high degree of consistency of the microarray results. In conclusion, octreotide exerts a negative effect on growth of the oxyntic mucosa, and extensive gene expression changes relevant to growth regulation can be detected.

Publication Title

Octreotide induces apoptosis in the oxyntic mucosa.

Sample Metadata Fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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