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Home › Dataset Library › Transcription profiling by array of Rattus norvegicus muscle samples in response to chronic dose of corticosteroids

Dataset: Transcription profiling by array of Rattus norvegicus muscle samples in response to chronic dose of corticosteroids

Synthetic glucocorticoids are used therapeutically for a variety of conditions. Both the efficacy and toxicity of corticosteroids arise...

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Synthetic glucocorticoids are used therapeutically for a variety of conditions. Both the efficacy and toxicity of corticosteroids arise from their pharmacologically exaggerated effects on target and non-target tissues. For example, beneficial effects deriving from inhibition of the immune system are accompanied by toxic side effects that include hyperglycemia, dyslipidaemia, muscle wasting, fatty liver, and an increased risk of atherosclerosis. Our previous time series analyzing the gene expression responses following a single bolus dose of methylprednisolone (MPL) provided interesting insight into the genomic responses of liver, skeletal muscle and kidney to corticosteroids. One objective with such extensive gene array time series data is to cluster genes into groups with common mechanisms of regulation. These clusters can be used to construct biologically rational models of the cascade of events that result in broad systemic phenomena such as diabetes, with the ultimate aim of therapeutic intervention at specific steps within the cascade Keywords: Time-Series We analyze the two time series profiles with the intent of seeking ways to use the two profiles in tandem for clustering. The acute profiles were generated by sacrificing animals following a single acute dose of MP [7]. The time points were: 0.25, 0.5, 0.75, 1, 2, 4, 5, 5.5, 6, 7, 8, 12, 18, 30, 48 and, 72 hours after dosing. The chronic profiles were generated by implanting Alzet mini-osmotic pumps with a constant flow rate [8, 9]. Animals were sacrificed at 6, 10, 13, 18, 24, 36, 48, 72, 96 and 168 hr following implantation.

Species:
rat

Samples:
44

Source:
E-GEOD-5101

PubMed:
17473217

Updated:
Jun.26, 2015

Registered:
Jan.12, 2015


Factors: (via ArrayExpress)
Sample time
GSM112209 0
GSM112209 0
GSM112209 0
GSM114870 10
GSM114870 10
GSM114870 10
GSM114870 10
GSM114874 13
GSM114874 13
GSM114874 13
GSM114874 13
GSM114878 168
GSM114878 168
GSM114878 168
GSM114878 168
GSM114882 18
GSM114882 18
GSM114882 18
GSM114882 18
GSM114886 24
GSM114887 36
GSM114887 36
GSM114887 36
GSM114887 36
GSM11489 48
GSM11489 48
GSM114886 24
GSM11489 48
GSM11489 48
GSM114896 6
GSM114896 6
GSM114896 6
GSM114896 6
GSM114900 72
GSM114900 72
GSM114900 72
GSM114900 72
GSM114904 96
GSM114904 96
GSM114904 96
GSM114904 96
GSM114886 24
GSM114886 24
GSM112209 0

Tags

  • atherosclerosis
  • hyperglycemia
  • immune system
  • kidney
  • liver
  • muscle
  • muscle wasting

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