GSM1195294[Accession] - GEO DataSets

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Items: 4

Select item 2000491951.

Gene expression profiling of liver tissue from lean (WT) and obese (ob/ob) mice following a chronic exposure of low doses of pharmaceuticals

(Submitter supplied) BACKGOUND: Drinking water can be contaminated with pharmaceuticals. However, it is uncertain whether this contamination can have harmful consequences for the liver, especially in the context of obesity. OBJECTIVES: To determine whether chronic, low dose exposure to pharmaceuticals could have deleterious effects in livers of lean and obese mice. METHODS: Lean and ob/ob male mice (5-week-old) were treated for 4 months with a mixture of 11 drugs (acetaminophen, caffeine, carbamazepine, cotinine, diclofenac, erythromycin, ibuprofen, phenazone, roxithromycin, salicylic acid and sulfamethoxazole) provided in drinking water at a concentration of 1 mg/L (for each drug). more...

Organism:: Mus musculus

Type:: Expression profiling by array

Dataset:: GDS5258
Platform:: GPL7202
24 Samples

Download data: TXT

Series

Accession:: GSE49195

ID:: 200049195

Select item 52582.

Chronic, low level drug exposure effect on obese liver

Analysis of liver from ob/ob obese males given water with 1 mg/L each of 11 drugs during 4 months. Contamination of drinking water with these drugs may have harmful effects on health. Results provide insight into mechanisms underlying obese liver responses to water-borne drug contamination.

Organism:: Mus musculus

Type:: Expression profiling by array, transformed count, 2 agent, 2 genotype/variation sets

Platform:: GPL7202
Series:: GSE49195
24 Samples

Download data: TXT

DataSet

Accession:: GDS5258

ID:: 5258

Select item 1000072023.

Agilent-014868 Whole Mouse Genome Microarray 4x44K G4122F (Probe Name version)

(Submitter supplied) Designed to truly represent all known genes in the mouse genome and their resulting transcripts, Agilent's Whole Mouse Genome Oligo – 4X44K microarray is comprised of 41,534 60-mer oligonucleotide probes representing over 41,000 mouse genes and transcripts. Content for this microarray was generated from leading public databases, including RefSeq, RIKEN, NIA, Ensembl, RIKEN, UCSC Goldenpath, and Unigene. more...