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Series GSE23112 Query DataSets for GSE23112
Status Public on Jul 24, 2010
Title Profiling and Functional Analyses of MicroRNAs and Their Target Gene Products in Human Uterine Leiomyomas
Organism Homo sapiens
Experiment type Expression profiling by array
Non-coding RNA profiling by array
Summary Human uterine leiomyomas (ULM) are characterized by dysregulation of a large number of genes and non-coding regulatory microRNAs. In order to identify microRNA::mRNA associations relevant to ULM pathogenesis, we examined global correlation patterns between the altered microRNA expression and the predicted target genes in leiomyomas and matched myometria.
We found that some but not all of the predicted and inversely correlated target genes in ULMs can be directly regulated by microRNAs in vitro. Our findings provide a broad overview of molecular events underlying the tumorigenesis of uterine leiomyoma and identify select genetic and regulatory events that alter microRNA expression and may play important roles in ULM pathobiology by positively regulating tumor growth while maintaining the non-invasive character of ULMs

Keywords: Differential gene expression
 
Overall design Paired normal (myometrium) and tumor (ULM) samples derived from 5 patients were used
 
Contributor(s) Zavadil J, Ye H, Liu Z, Wu J, Lee P, Hernando E, Soteropoulos P, Toruner GA, Wei J
Citation(s) 20808773
Submission date Jul 23, 2010
Last update date Aug 10, 2018
Contact name Jiri ZAVADIL
E-mail(s) zavadilj@iarc.fr
Phone +33648065733
Organization name IARC WHO
Street address 150 COURS ALBERT THOMAS
City LYON
State/province Other
ZIP/Postal code 69008
Country France
 
Platforms (1)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
Samples (10)
GSM569424 normal_myometrium_patient_B2
GSM569425 normal_myometrium_patient_B3
GSM569426 normal_myometrium_patient_B4
Relations
BioProject PRJNA131497

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE23112_RAW.tar 20.8 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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