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Sample GSM299052 Query DataSets for GSM299052
Status Public on Jun 27, 2008
Title Prostate_Dysplasia, Rep 4
Sample type RNA
 
Source name Dysplasia Mouse Prostate
Organism Mus musculus
Characteristics Strain: mixed 129XC57Bl/6, Gender: male, Tissue: prostate
Age (Months): 11.5
Genotyping: Nkx3.1-/-;Pten+/+
Treatment protocol To obtain androgen-independent lesions, mice were castrated at 7 to 14 months of age.
Growth protocol Mutant animals were bred on a mixed 129xC57Bl/6 background. Double heterozgotes (Nkx 3.1+/—; Pten+/—) were mated to obtain desired genotypic combinations.
Extracted molecule total RNA
Extraction protocol Total RNA was prepared from the LCM samples using the PicoPure RNA isolation kit (Arcturus), followed by RNA linear amplification.
Label biotin
Label protocol The RNA was labelied using Small Sample Labeling Protocol VII (Affymetrix).Samples were labeled using a BioArray High Yield RNA transcript labeling kit (Enzo Life Scientific).
 
Hybridization protocol Hybridization was carried out at 45°C for 16 hours in 200 µl of cocktail containing 20 µg of biotinilated RNA probe according to the Affymetrix Standard Protocol; post hybridization washing and antibody enhancement staining were performed using EukGE-WS2v4 protocol on Affymetrix Fluidics Station.
Scan protocol GeneChips were scanned using the Hewlett-Packard GeneArray Scanner G2500A.
Description no additional information
Data processing GeneChip CEL files underwent normalization using GeneChip Robust Multichip Analysis (RMA) in Bioconductor/R. Differential regulation was defined as probe sets that passed an ANOVA (P<0.1, variances assumed equal; False Detection Rate P<0.1 using Benjamani and Hochberg multiple testing correction) between classes (Normal, Dyplasia/LGPIN, HGPIN/Cancer, AI-HGPIN, AI-Cancer-Met). Functional annotation was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) 2007 at the National Institute of Allergy and Infectious Diseases (NIAID), NIH, to identify over-represented GO Biological Processes as well as KEGG and BioCarta pathways (p<0.05).
 
Submission date Jun 19, 2008
Last update date Jun 27, 2008
Contact name Cory Abate-Shen
E-mail(s) cabateshen@columbia.edu
Organization name Columbia University
Department Urology
Street address 1130 St. Nicholas Ave
City New York
State/province NY
ZIP/Postal code 11032
Country USA
 
Platform ID GPL339
Series (1)
GSE11836 Role for AP-1 transcription factors (c-Jun, c-Fos) in prostate cancer progression and clinical outcome of prostate tumor

Data table header descriptions
ID_REF
VALUE RMA-calculated signal intensity

Data table
ID_REF VALUE
1421418_a_at 1.0101764
1417729_at 1.0609108
1454138_a_at 1.0266241
1417337_at 1.0390252
1453748_a_at 0.96971804
1435508_x_at 0.90194297
1451548_at 1.1192062
1427141_at 0.9435627
1437644_at 1.1839932
1427122_at 0.86963177
1449534_at 1.2182735
1416711_at 1.1265912
1427585_at 1.0097035
1430827_a_at 0.9454092
1419861_at 0.986319
1438389_x_at 1.0487376
1451838_a_at 0.96543527
1450876_at 0.9332401
1424875_at 0.9145308
1418466_at 0.9852473

Total number of rows: 22690

Table truncated, full table size 481 Kbytes.




Supplementary file Size Download File type/resource
GSM299052.CEL.gz 3.1 Mb (ftp)(http) CEL
Processed data included within Sample table

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