NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM518328 Query DataSets for GSM518328
Status Public on Mar 10, 2010
Title SAE 13727478 GEO E3' t3 - cy3 vs S3' t3 - cy5
Sample type RNA
 
Channel 1
Source name E3' t3 - cy3
Organism Dictyostelium discoideum
Characteristics AX2 cells treated with E. Coli B/r as control. Total RNA isolated at 3h time point.
Extracted molecule total RNA
Extraction protocol RNA was isolated using TRIzol
Label Cy3
Label protocol Fairplay indirect labelling kit (Stratagene)
 
Channel 2
Source name S3' t3 - cy5
Organism Dictyostelium discoideum
Characteristics AX2 cells treated with S. typhimurium. Total RNA isolated at 3h time point.
Extracted molecule total RNA
Extraction protocol RNA was isolated using TRIzol
Label Cy5
Label protocol Fairplay indirect labelling kit (Stratagene)
 
 
Hybridization protocol Cy3 and Cy5 labelled targets were mixed, ethanol precipitated and dissolved in 65 µl of hybridisation buffer (Noegel et al., 1985) with 500 µg/ml Fish sperm DNA (Roche, Mannheim, Germany) and 2 µM Oligo dA 18-mer. The hybridisation mix was heated to 80 °C for 10 min, applied to the microarray under a cover-slip and incubated in a hybridisation chamber (Corning, New York, USA) for 15 hours at 37°C. Post-hybridisation washes were performed twice with 2x SSC, 0.1% SDS and once with 0.1x SSC, 0.1% SDS for 5 min each, five times with 0.1x SSC and once with with 0.01x SSC for 5 sec each and dried by centrifugation at 235xg for 5 min.
See also Farbrother et al., Cell. Microbiol., 3:438-456, 2006.
Scan protocol Signal detection was performed with the ScanArray 4000XL confocal laser scanner (PerkinElmer Life Sciences, Wellesley, USA). Images for Cy3 and Cy5 were obtained, spots were detected and quantified with ScanArray Express v2.2 (PerkinElmer Life Sciences), then manually inspected and if necessary corrected.
See also Farbrother et al., Cell. Microbiol., 3:438-456, 2006.
Description DNA microarrays cotainining 5,423 non-redundant ESTs from the D. discoideum cDNA project (Urushihara et al., 2004), partial sequences of 450 selected genes, probes of the SpotReport-10 Array Validation System (Stratagene, La Jolla, USA) and appropriate positive and negative controls were produced in-house using standard protocols (see also: http://www.uni-koeln.de/medfak/biochemie/transcriptomics/ production.e.shtml). Briefly, probes were amplified by two 100µl PCR reactions in 96-well microtiter plates using standard primers (M13F2: 5’-GTAAAACGACGGCCAGTG-3’, M13R2: 5’-C6-Aminolink-ACCATGATTACGCCAAGC-3’) for the cloned ESTs and gene-specific primers for the selected genes and the positive controls. After analysis by agarose gel electrophoresis (10µl of each reaction) the two reactions were combined, precipitated, solubilised in 11µl 25% DMSO, 1µl separated again by agarose gel electrophoresis and evaluated (Farbrother et al., 2002). Probes were transferred with the proteineer dp pipetting robot (Bruker, Germany) into 384-well microarray plates with cylindrical wells (Abgene, Hamburg, Germany) and printed onto UltraGaps slides (Corning, New York, USA) at 18°C and 45% humidity with a BioRobotics MicroGrid 600 microarray robot (Genomic Solutions, Huntingdon, UK) using MicroSpot 2500 microarraying pins. Each probe was spotted in duplicate, positive and negative controls were spotted 6, 24, 192 or 286 times and the SpotReport controls 96 times. The microarray is composed of three grids with 16 subarrays each and 14,620 spots in total. The complete microarray dataset is available at GEO, http://www.ncbi.nlm.nih.gov/geo; accession number GPL1972.
Data processing For each individual comparison four microarrays were hybridised and analysed. Two imagepairs were produced per microarray slide, one with high laser intensity so that signals for most probes and also some saturated signals were obtained and a second one with lower laser intensity so that none of the signals was saturated. This way the dynamic range of the measurement was expanded. To handle the import and export of microarray data to different analysis programs an Excel Add-In, Array tools (http://www.uni-koeln.de/med-fak/biochemie/ transcriptomics/tools-array.e.shtml), was programmed in Visual Basic. Upon import of two data files of the same microarray scanned with different laser powers the saturated spots of the high laser power scan were replaced by non-saturated spots from the low laser power scan. In addition the import also performed data filtering by flagging SpotReport controls, negative controls, empty spots, spots where only spotting solution was printed and spots whose intensities were below or equal to zero as "Bad". Fluorescence ratios were normalised by LOWESS-norma-lisation using R1.6.2 (BioConductor, http://www.bioconductor.org/). The normalized M values (M = log2 (Intensityexperiment/Intensitycontrol) were transferred into a new worksheet for significance analysis of microarrays (SAM) analysis (Tusher et al., 2001). At the transfer all probes spotted in higher replicates were reduced to double spots by averaging. Furthermore all probes that were flagged "Found" in less than half of the spots, were excluded from SAM analysis. Differentially regulated genes were identified using the one-class SAM method calculating 1000 permutations. The SAM program not only identifies the differentially regulated genes, but also predicts the number of false positives. These are the genes that are falsely reported as differentially expressed. This feature was used in all microarray experiments to set the significance level such, that the 90th percentile of the false discovery rate (FDR) was minimal.
See also Farbrother et al., Cell. Microbiol., 3:438-456, 2006.
 
Submission date Mar 05, 2010
Last update date Mar 09, 2010
Contact name Ludwig Eichinger
E-mail(s) ludwig.eichinger@uni-koeln.de
Phone +49 221 478 6928
Organization name Institute for Biochemistry 1
Lab AG Eichinger
Street address Joseph-Stelzmann-Strasse 52
City Cologne
ZIP/Postal code 50931
Country Germany
 
Platform ID GPL1972
Series (2)
GSE20644 Differential Expression upon infection with Salmonella typhimurium (t3)
GSE20688 Salmonella infected Dictyostelium discoideum

Data table header descriptions
ID_REF
VALUE Normalised M-value; M=log2(Intensity_Exp/Intensity_Con)
A Norm Normalised A-value; A=log2 times square root of (I_Exp x I_Con)
Exp Norm Normalised intensity value of experiment
Con Norm Normalised intensity value of control
Con Median Median intensity value of control
Con B Median Median background intensity value of control
Exp Median Median intensity value of experiment
Exp B Median Median background intensity value of experiment

Data table
ID_REF VALUE A Norm Exp Norm Con Norm Con Median Con B Median Exp Median Exp B Median
1 1.094 13.9 22997 10773 10434 985 23745 896
2 1.115 14.1 25124 11602 11177 1018 26078 916
3 -0.524 13.1 7199 10352 9882 2041 7541 1336
4 -0.635 13.3 7841 12173 11629 2540 8208 1451
5 -0.019 13.3 10288 10426 9979 1890 10749 1433
6 0.042 13.4 11095 10774 10378 2015 11518 1390
7 -0.030 15.4 42122 42996 49430 2079 36639 1965
8 -0.001 15.3 41225 41266 47207 2147 36037 2004
9 1.069 13.7 19640 9362 9118 2471 20165 2085
10 1.268 13.6 19782 8213 8011 1919 20282 1488
11 -0.179 13.3 9449 10698 10227 1587 9884 1159
12 -0.144 13.2 8840 9768 9310 1481 9275 1148
13 -0.670 13.7 10475 16664 16242 1534 10747 1197
14 -0.644 13.7 10500 16406 15994 1609 10771 1215
15 1597 1503 1245 1259
16 1466 1599 1212 1211
17 1522 1631 1236 1211
18 1601 1528 1171 1152
19 1.089 13.4 16014 7530 7258 972 16614 909
20 1.094 13.4 15290 7162 6861 1017 15960 917

Total number of rows: 15552

Table truncated, full table size 626 Kbytes.




Supplementary file Size Download File type/resource
GSM518328.csv.gz 833.1 Kb (ftp)(http) CSV
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap