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Series GSE33989 Query DataSets for GSE33989
Status Public on Nov 30, 2011
Title Expression data from third instar Drosophila larvae offspring from maternal control or high-sucrose fed diets
Organism Drosophila melanogaster
Experiment type Expression profiling by array
Summary Maternal obesity and diabetes is associated with increased risk of obesity and diabetes in offspring. We generated a model of maternal caloric excess in Drosophila and noted altered body composition in offspring from females fed a high-sucrose diet. To gain insight into the mechanisms underlying this response, we profiled gene expression in mid-third instar larvae (mid-L3) offspring from either control or high-sucrose fed females. All offspring were raised on control food.
We used microarrays to detail the response of Drosophila larvae to maternal high calorie diet
 
Overall design Virgin female w1118 flies were fed control (0.15M) or high (1M) sucrose food for 7 days, mated with male w1118 flies such that all embryos were laid on control food. Mid-L3 larvae were selected for RNA extraction and hybridization on Affymetrix microarrays. Mid-L3 were selected as L2, aged overnight until early L3, then transferred to fresh control food for 12 more hours before selection.
 
Contributor(s) Duncan JG, Musselman LP
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Submission date Nov 29, 2011
Last update date Aug 28, 2018
Contact name Jennifer G Duncan
E-mail(s) [email protected]
Organization name Washington University School of Medicine
Department Pediatrics
Lab Duncan
Street address 660 S. Euclid, Box 8208
City St. Louis
State/province MO
ZIP/Postal code 63124
Country USA
 
Platforms (1)
GPL1322 [Drosophila_2] Affymetrix Drosophila Genome 2.0 Array
Samples (6)
GSM840105 wandering L3 control reared biological rep 1
GSM840106 wandering L3 control reared biological rep 2
GSM840107 wandering L3 control reared biological rep 3
Relations
BioProject PRJNA150609

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Supplementary file Size Download File type/resource
GSE33989_RAW.tar 10.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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