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Series GSE48559 Query DataSets for GSE48559
Status Public on Dec 28, 2013
Title Identification of MAX signature on MAX deficient SCLC cell lines
Organism Homo sapiens
Experiment type Expression profiling by array
Summary To development our gene expression approach, we have employed whole genome microarray expression profiling as a discovery platform to identify genes potentialy regulated by the transcription factor MAX.Human SCLC cell lines waere analyzed for mutations at the MAX locus. Those cell lines that were found mutated in MAX and showed no MAX protein expression were used as a models to restore the expression of MAX transcription factor, and Identify MAX signature on Human SCLC.
Overall design Human SCLC cell lines were hybridyzed in the following manner according for different conditions (Mock -Ø, MAX, shBRG1, MAX-shBRG1): 3 different biological samples for Mock, 3 different biological samples for MAX, 3 different samples for shBRG1 and 3 replicates of the same sample for MAX-shBRG1.
Contributor(s) Romero Ferraro OA, Torres Diz M, Sánchez-Céspedes M
Citation(s) 24362264
Submission date Jul 05, 2013
Last update date Jan 09, 2018
Contact name Manel Esteller
Organization name IDIBELL
Department PEBC
Lab Cancer Epigenetics
Street address Hospital Duran i Reynals Av. Gran Via s/n km, 2.7
City L'Hospitalet de Llobregat
State/province Barcelona
ZIP/Postal code 08908
Country Spain
Platforms (1)
GPL17077 Agilent-039494 SurePrint G3 Human GE v2 8x60K Microarray 039381 (Probe Name version)
Samples (12)
GSM1180920 H1417-Ø
GSM1180921 LU134-Ø
GSM1180922 LU165-Ø
BioProject PRJNA210643

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
GSE48559_RAW.tar 149.9 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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