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Series GSE12262 Query DataSets for GSE12262
Status Public on May 05, 2009
Title Genome-Wide Discovery of STAT3 Functional Binding Sites
Organism Mus musculus
Experiment type Expression profiling by array
Summary STAT3 is a transcription factor playing a crucial role in inflammation, immunity and oncogenesis, able to induce distinct subsets of target genes in different cell types or under different conditions. Identification of direct transcriptional targets however has only defined a relatively limited set of genes, not sufficient to explain its variegated functions. In order to improve our understanding of the STAT3 transcriptional network we decided to develop a computational approach for the discovery of STAT3 functional binding sites. Upon generating a Positional Weight Matrix to define STAT3 binding sites, we applied a loglikelihood ratio scoring function and were able to assign affinity scores with very high specificity (93.5%) as measured by EMSA. STAT3 binding sites scoring above a stringent threshold have been identified genome-wide in Homo sapiens and Mus musculus and selected for phylogenetic conservation by genomic sequence alignment using eight vertebrate species. Validation was carried out on a subset of predicted
sites within genes previously identified as STAT3-responsive by microarray analysis. The high percentage of sites able to bind STAT3 in vivo, as assessed by Chromatin Immunoprecipitation (ChIP) analysis, revealed the high predictive power of our method.
 
Overall design Three prototypic situation were investigated using two replications for each experimental point: STAT3+/+ versus STAT3-/- MEFs , STAT3+/+ versus STAT3+/+ treated with OSM and STAT3-/- versus STAT3-/- treated with OSM.
 
Contributor(s) Vallania F, Schiavone D, Dewilde S, Pupo E, Garbay S, Calogero RA, Pontoglio M, Provero P, Poli V
Citation(s) 19282476
Submission date Jul 28, 2008
Last update date Feb 18, 2018
Contact name Raffaele A Calogero
E-mail(s) raffaele.calogero@unito.it
Phone ++39 0116706454
Organization name University of Torino
Department Molecular Biotechnology Center
Lab Bioinformatics and Genomics Unit
Street address Via Nizza 52
City Torino
State/province To
ZIP/Postal code 10126
Country Italy
 
Platforms (1)
GPL81 [MG_U74Av2] Affymetrix Murine Genome U74A Version 2 Array
Samples (8)
GSM307982 STAT3+/+ MEF cell line 02
GSM307983 STAT3+/+ MEF cell line 03
GSM307985 STAT3+/+ MEF cell line tretated with OSM 02
Relations
BioProject PRJNA113645

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Supplementary file Size Download File type/resource
GSE12262_RAW.tar 24.6 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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