Comment[ArrayExpressAccession]	E-GEOD-43483
MAGE-TAB Version	1.1				
Public Release Date	2015-11-24
Investigation Title	MetSearch: A screening platform for the discovery of genes implicated in metastatic dormancy and reactivation				
Comment[Submitted Name]	MetSearch: A screening platform for the discovery of genes implicated in metastatic dormancy and reactivation
Experiment Description	We have developed a screening platform for the isolation of genetic entities involved in metastatic reactivation. Retroviral libraries encoding cDNAs from highly metastatic breast cancer cells or pooled microRNAs were transduced into breast cancer cells that become dormant upon infiltrating the lung. Upon inoculation in the tail vein of mice, the cells that had acquired the ability to undergo reactivation generated metastatic lesions. Integrated retroviral vectors were recovered from these lesions, sequenced, and subjected to a second round of validation. By using this strategy, we identified canonical genes and microRNAs that mediate metastatic reactivation in the lung. To identify genes that oppose reactivation, we screened an expression library encoding shRNAs and we identified target genes that encode potential enforcers of dormancy. Our screening strategy enables the identification and rapid biological validation of single genetic entities that are necessary to maintain dormancy or to induce reactivation. This technology should facilitate the elucidation of the molecular underpinnings of these processes. We conducte miRNA microarray analysis (Agilent Technologies) as a complementary technique to examine miRNA expression profiles in our tumor progression series model, comparing the non-metastatic cells lines (67NR, 168FARN, 4TO7) with that of the metastatic cell line (4T1). By studying these profiles, we can identify sets of miRNAs that regulate the different steps of metastasis, namely intravasation, survival in the circulatory system and at distant sites, and extravasation and metastases formation, as represented by the different cell lines.				
Term Source Name	ArrayExpress	EFO
Term Source File	http://www.ebi.ac.uk/arrayexpress/	http://www.ebi.ac.uk/efo/efo.owl			
Person Last Name	Zhao	Gao	Giancotti		
Person First Name	Jeffrey	Hua	Filippo		
Person Email	zhaoy@mskcc.org				
Person Affiliation	Memorial Sloan Kettering Cancer Center				
Person Address	Genomics Core, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, USA				
Person Roles	submitter				
Protocol Name	P-GSE43483-1	P-GSE43483-3	P-GSE43483-4	P-GSE43483-2	P-GSE43483-5
Protocol Description	The data were extracted with Feature extraction using Agilent default analysis settings and No normalization performed. The sample data table contains raw data values. ID_REF =  VALUE = raw data	miRNA were prepared according to the standard Agilent protocol from 100ng total RNA.	miRNA were hybridized for 20 hr at 55C on Agilent Human microRNA Array.Slides were washed and stained in the Agilent recommended protocol.	Trizol extraction of total RNA was performed according to the manufacturer's instructions.	Slides were scanned using the Agilent Scanner.
Protocol Type	normalization data transformation protocol	labelling protocol	hybridization protocol	nucleic acid extraction protocol	array scanning protocol
Experimental Factor Name	cell line	cell line phenotype			
Experimental Factor Type	cell line	cell line phenotype			
Publication Title	Forward genetic screens in mice uncover mediators and suppressors of metastatic reactivation.				
Publication Author List	Gao H, Chakraborty G, Lee-Lim AP, Mavrakis KJ, Wendel HG, Giancotti FG				
PubMed ID	25378704				
Publication DOI	10.1073/pnas.1403234111				
Comment[SecondaryAccession]	GSE43483				
Comment[GEOReleaseDate]	2015-11-24				
Comment[ArrayExpressSubmissionDate]	2013-01-14				
Comment[GEOLastUpdateDate]	2015-11-24				
Comment[AEExperimentType]	transcription profiling by array				
SDRF File	E-GEOD-43483.sdrf.txt