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Status |
Public on Jul 29, 2011 |
Title |
miRNAs in ovarian cancer: A systems approach (miRNA data) |
Platform organisms |
Homo sapiens; Mus musculus; Rattus norvegicus; synthetic construct |
Sample organism |
Homo sapiens |
Experiment type |
Non-coding RNA profiling by array
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Summary |
MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. We report the results of a systems analysis of miRNA regulation in ovarian cancer. We found that 33 miRNAs are up-regulated and 9 down-regulated in CEPI relative to OSE (p<0.01, ≥2 fold change). Of these, 12 were previously annotated miRNAs (Sanger miRBase) of which 9 are up-regulated and 3 are down-regulated in CEPI relative to OSE. Current models predict that changes in levels of miRNAs will be inversely correlated with changes in the levels of targeted mRNAs due to miRNA regulation. This predicted inverse correlation held for only ~9% of predicted target mRNAs. Computational analyses indicate the unexpected low inverse correlation may be at least partially explained by variation in the number of miRNA binding sites within the 3’ UTRs of targeted mRNAs and by miRNA-mediated changes in levels of transcription factors that can exert overriding trans-regulatory controls on target loci.
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Overall design |
miRNAs were collected from three laser captured microdissected ovarian cancer epithelial (CEPI) samples. The miRNA expression pattern was compared with three healthy ovarian surface epithelia samples as controls using a custom-manufactured Affymetrix GeneChip® array.
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Contributor(s) |
Shahab S, Hill CG, Mittal VK, Mezencev R, Matyunina L, Walker LD, Bowen NJ, Benigno BB, Mcdonald JF |
Citation(s) |
21811625 |
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Submission date |
Aug 02, 2010 |
Last update date |
Nov 18, 2013 |
Contact name |
Shubin Shahab |
E-mail(s) |
shubin.shahab@gmail.com
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Organization name |
Georgia Institute of Technology
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Department |
Biology
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Lab |
McDonald
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Street address |
310 Ferst Drive
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City |
Atlanta |
State/province |
GA |
ZIP/Postal code |
30332 |
Country |
USA |
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Platforms (1) |
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Samples (6)
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This SubSeries is part of SuperSeries: |
GSE23392 |
miRNAs in ovarian cancer: A systems approach |
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Relations |
BioProject |
PRJNA133315 |